CySecurity News - Latest Information Security and Hacking Incidents: Amazon

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Amazon Links Five-Year Cloud Cyber Campaign to Russia’s Sandworm Group

Amazon is talking about a hacking problem that has been going on for a long time. This problem was targeting customers who use cloud services in countries. Amazon says that a group called Sandworm, which is linked to Russias intelligence is behind this hacking. Amazons team that looks at threats found out that this hacking has been happening for five years. The hackers were looking for weaknesses in how customers set up their devices than trying to find problems with the software. They were exploiting these weaknesses to get into customer environments.

Amazon and the customers were using cloud services. The hackers were targeting these cloud-connected environments. The hacking group Sandworm is the one that Amazon says is responsible, for this activity. The people at Amazon looked at this problem in December. Amazons chief information security officer, CJ Moses said that this is a change in how some groups try to get into important systems. CJ Moses said that these groups are not trying to get in by using software that has not been updated.

Instead they are looking at devices that are connected to the cloud and are not set up correctly. These devices are how they get into the organizations they are trying to attack. CJ Moses and the people, at Amazon think that this is a way that state-sponsored actors are trying to get into critical infrastructure. The devices that are connected to the cloud are the way that these actors get into the systems they are trying to attack.

The cyberattacks were different from others. The systems that were compromised were not old or missing security updates. The people who did the attack found problems with the equipment that helps connect things, like gateways and devices that sit at the edge of networks. These devices had been set up incorrectly by the customers who used them. This equipment is usually between the networks of a company and the cloud services they use outside.

So it gave the attackers a way to get into the rest of the system without needing to find brand weaknesses or use very complicated bad software at the start. The attackers used these edge devices as a kind of bridge to get into the system. They were able to do this because the devices were not set up correctly by the customers. The cyberattacks were able to happen because of this mistake. It made it easier for the attackers to get into the system. The compromised systems, including the routing equipment and gateways were the key, to the attack.

The bad people got into the system. They were able to get important information like passwords. Then they were able to move to different cloud services and the internal system. Amazon looked at this. They think that the bad people were able to hide what they were doing by making it look like normal activity on the network. This made it harder to catch them. The bad people used passwords and normal paths, on the network so they did not trip any alarms. This meant that the security people did not notice them because they were not doing anything that seemed out of the ordinary.

The Sandworm activity was seen times over a few years with signs of it going back to at least 2021. The people behind this campaign were going after targets all around the world. They were especially interested in organizations that do important work like those that deal with critical infrastructure. Amazon found out that the people behind the Sandworm activity were really focused on energy companies, in North America and Europe. This shows that the Sandworm activity was a thoughtful and planned operation and that is what makes it so serious the Sandworm activity is a big deal.

Security specialists looked at the results. They think this is part of a bigger pattern with advanced threat actors. What is happening is that people are taking advantage of mistakes in how thingsre set up rather than looking for things that need to be updated. As organizations start to use hybrid and cloud-based systems this is becoming a bigger problem. Even people who are very good at IT can miss mistakes in how thingsre set up and this can leave them open, to attacks all the time. Security specialists and these advanced threat actors know that they can take advantage of these mistakes without setting off the warnings that something is wrong.

Advanced threat actors are using these mistakes to get in. Amazons disclosure is a warning that having cloud security is not just about doing the usual updates. Companies that use cloud and hybrid environments for work need to do more. They need to make sure everything is set up correctly always check for problems with devices that are connected to the internet and limit who can get into the system. These things are very important, for security. Amazons cloud security is an example of this. Cloud security requires a lot of work to keep it safe.

In a separate disclosure, Amazon also acknowledged detecting attempts by North Korean operators to conduct large-scale cyber activity, though this was unrelated to the Sandworm campaign. The company later clarified that the Russian-linked operation targeted customer-managed devices hosted on AWS rather than Amazon’s own infrastructure, and that the activity represented sustained targeting over several years rather than uninterrupted access.

Amazon Says It Has Disrupted GRU-Linked Cyber Operations Targeting Cloud Customers

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Russia

Amazon AWS Cloud Security Credential Theft Cyber Attacks GRU Russia

Amazon Says It Has Disrupted GRU-Linked Cyber Operations Targeting Cloud Customers

Amazon has announced that its threat intelligence division has intervened in ongoing cyber operations attributed to hackers associated with Russia’s foreign military intelligence service, the GRU. The activity targeted organizations using Amazon’s cloud infrastructure, with attackers attempting to gain unauthorized access to customer-managed systems.

The company reported that the malicious campaign dates back to 2021 and largely concentrated on Western critical infrastructure. Within this scope, energy-related organizations were among the most frequently targeted sectors, indicating a strategic focus on high-impact industries.

Amazon’s investigation shows that the attackers initially relied on exploiting security weaknesses to break into networks. Over multiple years, they used a combination of newly discovered flaws and already known vulnerabilities in enterprise technologies, including security appliances, collaboration software, and data protection platforms. These weaknesses served as their primary entry points.

As the campaign progressed, the attackers adjusted their approach. By 2025, Amazon observed a reduced reliance on vulnerability exploitation. Instead, the group increasingly targeted customer network edge devices that were incorrectly configured. These included enterprise routers, VPN gateways, network management systems, collaboration tools, and cloud-based project management platforms.

Devices with exposed administrative interfaces or weak security controls became easy targets. By exploiting configuration errors rather than software flaws, the attackers achieved the same long-term goals: maintaining persistent access to critical networks and collecting login credentials for later use.

Amazon noted that this shift reflects a change in operational focus rather than intent. While misconfiguration abuse has been observed since at least 2022, the sustained emphasis on this tactic in 2025 suggests the attackers deliberately scaled back efforts to exploit zero-day and known vulnerabilities. Despite this evolution, their core objectives remained unchanged: credential theft and quiet movement within victim environments using minimal resources and low visibility.

Based on overlapping infrastructure and targeting similarities with previously identified threat groups, Amazon assessed with high confidence that the activity is linked to GRU-associated hackers. The company believes one subgroup, previously identified by external researchers, may be responsible for actions taken after initial compromise as part of a broader, multi-unit campaign.

Although Amazon did not directly observe how data was extracted, forensic evidence suggests passive network monitoring techniques were used. Indicators included delays between initial device compromise and credential usage, as well as unauthorized reuse of legitimate organizational credentials.

The compromised systems were customer-controlled network appliances running on Amazon EC2 instances. Amazon emphasized that no vulnerabilities in AWS services themselves were exploited during these attacks.

Once the activity was detected, Amazon moved to secure affected instances, alerted impacted customers, and shared intelligence with relevant vendors and industry partners. The company stated that coordinated action helped disrupt the attackers’ operations and limit further exposure.

Amazon also released a list of internet addresses linked to the activity but cautioned organizations against blocking them without proper analysis, as they belong to legitimate systems that had been hijacked.

To mitigate similar threats, Amazon recommended immediate steps such as auditing network device configurations, monitoring for credential replay, and closely tracking access to administrative portals. For AWS users, additional measures include isolating management interfaces, tightening security group rules, and enabling monitoring tools like CloudTrail, GuardDuty, and VPC Flow Logs.

Amazon and Microsoft AI Investments Put India at a Crossroads

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Microsoft

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Amazon and Microsoft AI Investments Put India at a Crossroads

Major technology companies Amazon and Microsoft have announced combined investments exceeding $50 billion in India, placing artificial intelligence firmly at the center of global attention on the country’s technology ambitions. Microsoft chief executive Satya Nadella revealed the company’s largest-ever investment in Asia, committing $17.5 billion to support infrastructure development, workforce skills, and what he described as India’s transition toward an AI-first economy. Shortly after, Amazon said it plans to invest more than $35 billion in India by 2030, with part of that funding expected to strengthen its artificial intelligence capabilities in the country.

These announcements arrive at a time of heightened debate around artificial intelligence valuations globally. As concerns about a potential AI-driven market bubble have grown, some financial institutions have taken a contrarian view on India’s position. Analysts at Jefferies described Indian equities as a “reverse AI trade,” suggesting the market could outperform if global enthusiasm for AI weakens. HSBC has echoed similar views, arguing that Indian stocks offer diversification for investors wary of overheated technology markets elsewhere. This perspective has gained traction as Indian equities have underperformed regional peers over the past year, while foreign capital has flowed heavily into AI-centric companies in South Korea and Taiwan.

Against this backdrop, the scale of Amazon and Microsoft’s commitments offers a significant boost to confidence. However, questions remain about how competitive India truly is in the global AI race. Adoption of artificial intelligence across the country has accelerated, with increasing investment in data centers and early movement toward domestic chip manufacturing. A recent collaboration between Intel and Tata Electronics to produce semiconductors locally reflects growing momentum in strengthening AI infrastructure.

Despite these advances, India continues to lag behind global leaders when it comes to building sovereign AI models. The government launched a national AI mission aimed at supporting researchers and startups with high-performance computing resources to develop a large multilingual model. While officials say a sovereign model supporting more than 22 languages is close to launch, global competitors such as OpenAI and China-based firms have continued to release more advanced systems in the interim. India’s public investment in this effort remains modest when compared with the far larger AI spending programs seen in countries like France and Saudi Arabia.

Structural challenges also persist. Limited access to advanced semiconductors, fragmented data ecosystems, and insufficient long-term research investment constrain progress. Although India has a higher-than-average concentration of AI-skilled professionals, retaining top talent remains difficult as global mobility draws developers overseas. Experts argue that policy incentives will be critical if India hopes to convert its talent advantage into sustained leadership.

Even so, international studies suggest India performs strongly relative to its economic stage. The country ranks among the top five globally for new AI startups receiving investment and contributes a significant share of global AI research publications. While funding volumes remain far below those of the United States and China, experts believe India’s advantage may lie in applying AI to real-world problems rather than competing directly in foundational model development.

AI-driven applications addressing agriculture, education, and healthcare are already gaining traction, demonstrating the technology’s potential impact at scale. At the same time, analysts warn that artificial intelligence could disrupt India’s IT services sector, a long-standing engine of economic growth. Slowing hiring, wage pressure, and weaker stock performance indicate that this transition is already underway, underscoring both the opportunity and the risk embedded in India’s AI future.

AWS Apologizes for Massive Outage That Disrupted Major Platforms Worldwide

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internet outage

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AWS Apologizes for Massive Outage That Disrupted Major Platforms Worldwide

Amazon Web Services (AWS) has issued an apology to customers following a widespread outage on October 20 that brought down more than a thousand websites and services globally. The disruption affected major platforms including Snapchat, Reddit, Lloyds Bank, Venmo, and several gaming and payment applications, underscoring the heavy dependence of the modern internet on a few dominant cloud providers. The outage originated in AWS’s North Virginia region (US-EAST-1), which powers a significant portion of global online infrastructure.

According to Amazon’s official statement, the outage stemmed from internal errors that prevented systems from properly linking domain names to the IP addresses required to locate them. This technical fault caused a cascade of connectivity failures across multiple services. “We apologize for the impact this event caused our customers,” AWS said. “We know how critical our services are to our customers, their applications, and their businesses. We are committed to learning from this and improving our availability.”

While some platforms like Fortnite and Roblox recovered within a few hours, others faced extended downtime. Lloyds Bank customers, for instance, reported continued access issues well into the afternoon. Similarly, services like Reddit and Venmo were affected for longer durations. The outage even extended to connected devices such as Eight Sleep’s smart mattresses, which rely on internet access to adjust temperature and elevation.

The company stated it would work to make its systems more resilient after some users reported overheating or malfunctioning devices during the outage. AWS’s detailed incident summary attributed the issue to a “latent race condition” in the systems managing the Domain Name System (DNS) records in the affected region. Essentially, one of the automated processes responsible for maintaining synchronization between critical database systems malfunctioned, triggering a chain reaction that disrupted multiple dependent services. Because many of AWS’s internal processes are automated, the problem propagated without human intervention until it was detected and mitigated.

Dr. Junade Ali, a software engineer and fellow at the Institute for Engineering and Technology, explained that “faulty automation” was central to the failure. He noted that the internal “address book” system in the region broke down, preventing key infrastructure components from locating each other. “This incident demonstrates how businesses relying on a single cloud provider remain vulnerable to regional failures,” Dr. Ali added, emphasizing the importance of diversifying cloud service providers to improve resilience.

The event once again highlights the concentration of digital infrastructure within a few dominant providers, primarily AWS and Microsoft Azure. Experts warn that such dependency increases systemic risk, as disruptions in one region can have global ripple effects. Amazon has stated that it will take measures to strengthen fault detection, introduce greater redundancy, and enhance the reliability of automated processes in its network.

As the world grows increasingly reliant on cloud computing, the AWS outage serves as a critical reminder of the fragility of internet infrastructure and the urgent need for redundancy and diversification.

Amazon resolves major AWS outage that disrupted apps, websites, and banks globally

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Technology

Amazon AWS DNS Downdetector Online Banking Technology

Amazon resolves major AWS outage that disrupted apps, websites, and banks globally

A widespread disruption at Amazon Web Services (AWS) on Monday caused several high-profile apps, websites, and banking platforms to go offline for hours before the issue was finally resolved later in the night. The outage, which affected one of Amazon’s main cloud regions in the United States, drew attention to how heavily the global digital infrastructure depends on a few large cloud service providers.

According to Amazon’s official update, the problem stemmed from a technical fault in its Domain Name System (DNS) — a core internet function that translates website names into numerical addresses that computers can read. When the DNS experiences interruptions, browsers and applications lose their ability to locate and connect with servers, causing widespread loading failures. The company confirmed the issue affected its DynamoDB API endpoint in the US-EAST-1 region, one of its busiest hubs.

The first reports of disruptions appeared around 7:00 a.m. BST on Monday, when users began facing difficulties accessing multiple platforms. As the issue spread, users of services such as Snapchat, Fortnite, and Duolingo were unable to log in or perform basic functions. Several banking websites, including Lloyds and Halifax, also reported temporary connectivity problems.

The outage quickly escalated to a global scale. According to the monitoring website Downdetector, more than 11 million user complaints were recorded throughout the day, an unprecedented figure that reflected the magnitude of the disruption. Early in the incident, Downdetector noted over four million reports from more than 500 affected platforms within just a few hours, which was more than double its usual weekday average.

AWS engineers worked through the day to isolate the source of the issue and restore affected systems. To stabilize its network, Amazon temporarily limited some internal operations to prevent further cascading failures. By 11:00 p.m. BST, the company announced that all services had “returned to normal operations.”

Experts said the incident underlined the vulnerabilities of an increasingly centralized internet. Professor Alan Woodward of the University of Surrey explained that modern online systems are highly interdependent, meaning that an error within one major provider can ripple across numerous unrelated services. “Even small technical mistakes can trigger large-scale failures,” he said, pointing out how human or software missteps in one corner of the infrastructure can have global consequences.

Professor Mike Chapple from the University of Notre Dame compared the recovery process to restoring electricity after a large power outage. He said the system might “flicker” several times as engineers fix underlying causes and bring services gradually back online.

Industry observers say such incidents reflect a growing systemic risk within the cloud computing sector, which is dominated by a handful of major firms such as Amazon, Microsoft, and Google collectively controlling nearly 70% of the market. Cori Crider, director of the Future of Technology Institute, described the current model as “unsustainable,” warning that heavy reliance on a few global companies poses economic and security risks for nations and organizations alike.

Other experts suggested that responsibility also lies with companies using these services. Ken Birman, a computer science professor at Cornell University, noted that many organizations fail to develop backup mechanisms to keep essential applications online during provider outages. “We already know how to build more resilient systems,” he said. “The challenge is that many businesses still rely entirely on their cloud providers instead of investing in redundancy.”

Although AWS has not released a detailed technical report yet, its preliminary statement confirmed that the outage originated from a DNS-related fault within its DynamoDB service. The incident, though resolved, highlights a growing concern within the cybersecurity community: as dependence on cloud computing deepens, so does the scale of disruption when a single provider experiences a failure.

CLOUD Act Extends US Jurisdiction Over Global Cloud Data Across Microsoft, Google, and Amazon

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Privacy

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CLOUD Act Extends US Jurisdiction Over Global Cloud Data Across Microsoft, Google, and Amazon

That Frankfurt data center storing your business files or the Singapore server holding your personal photos may not be as secure from U.S. oversight as you think. If the provider is Microsoft, Amazon, Google, or another U.S.-based tech giant, physical geography does little to shield information once American authorities seek access. The Clarifying Lawful Overseas Use of Data (CLOUD) Act, enacted in March 2018, gives U.S. law enforcement broad authority to demand data from American companies no matter where that information is located. Many organizations and individuals who once assumed that hosting data in Europe or Asia provided protection from U.S. jurisdiction now face an overlooked vulnerability.

The law applies to every major cloud provider headquartered in the United States, including Microsoft, Amazon, Google, Apple, Meta, and Salesforce. This means data hosted in Microsoft’s European facilities, Google’s Asian networks, or Amazon’s servers in regions worldwide can be accessed through proper legal orders. An organization running Office 365 in London or an individual storing iCloud photos in Berlin could have their data obtained by U.S. investigators with little visibility into the process. Even companies promoting themselves as “foreign hosted” may not be immune if they have American subsidiaries or offices. Jurisdiction extends to entities connected to the United States, meaning that promises of sovereignty can be undercut by corporate structure.

The framework obligates companies to comply quickly with data requests, leaving limited room for delay. Providers may challenge orders if they conflict with local privacy protections, but the proceedings typically occur without the knowledge of the customer whose data is involved. As a result, users may never know their information has been disclosed, since notification is not required. This dynamic has raised significant concerns about transparency, privacy, and the balance of international legal obligations.

There are alternatives for those seeking stronger guarantees of independence. Providers such as Hetzner in Germany, OVHcloud in France, and Proton in Switzerland operate strictly under European laws and maintain distance from U.S. corporate ties. These companies cannot be compelled to share data with American authorities unless they enter into agreements that extend jurisdiction. However, relying on such providers can involve trade-offs, such as limited integration with mainstream platforms or reduced global reach. Some U.S. firms have responded by offering “sovereign cloud regions” managed locally, but questions remain about whether ultimate control still rests with the parent corporation and therefore remains vulnerable to U.S. legal demands.

The implications are clear: the choice of cloud provider is not only a technical or financial decision but a geopolitical one. In a world where information represents both power and liability, each upload is effectively a decision about which country’s laws govern your digital life. For businesses and individuals alike, data location may matter less than corporate origin, and the CLOUD Act ensures that U.S. jurisdiction extends far beyond its borders.

Federal Judge Allows Amazon Alexa Users’ Privacy Lawsuit to Proceed Nationwide

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Privacy Lawsuit

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Federal Judge Allows Amazon Alexa Users’ Privacy Lawsuit to Proceed Nationwide

A federal judge in Seattle has ruled that Amazon must face a nationwide lawsuit involving tens of millions of Alexa users. The case alleges that the company improperly recorded and stored private conversations without user consent. U.S. District Judge Robert Lasnik determined that Alexa owners met the legal requirements to pursue collective legal action for damages and an injunction to halt the alleged practices.

The lawsuit claims Amazon violated Washington state law by failing to disclose that it retained and potentially used voice recordings for commercial purposes. Plaintiffs argue that Alexa was intentionally designed to secretly capture billions of private conversations, not just the voice commands directed at the device. According to their claim, these recordings may have been stored and repurposed without permission, raising serious privacy concerns. Amazon strongly disputes the allegations.

The company insists that Alexa includes multiple safeguards to prevent accidental activation and denies evidence exists showing it recorded conversations belonging to any of the plaintiffs. Despite Amazon’s defense, Judge Lasnik stated that millions of users may have been impacted in a similar manner, allowing the case to move forward. Plaintiffs are also seeking an order requiring Amazon to delete any recordings and related data it may still hold. The broader issue at stake in this case centers on privacy rights within the home.

If proven, the claims suggest that sensitive conversations could have been intercepted and stored without explicit approval from users. Privacy experts caution that voice data, if mishandled or exposed, can lead to identity risks, unauthorized information sharing, and long-term security threats. Critics further argue that the lawsuit highlights the growing power imbalance between consumers and large technology companies. Amazon has previously faced scrutiny over its corporate practices, including its environmental footprint.

A 2023 report revealed that the company’s expanding data centers in Virginia would consume more energy than the entire city of Seattle, fueling additional criticism about the company’s long-term sustainability and accountability. The case against Amazon underscores the increasing tension between technological convenience and personal privacy.

As voice-activated assistants become commonplace in homes, courts will likely play a decisive role in determining the boundaries of data collection and consumer protection. The outcome of this lawsuit could set a precedent for how tech companies handle user data and whether customers can trust that private conversations remain private.

Amazon Accounts Targeted by New Phishing Scam — Here’s How to Stay Safe

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Users

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Amazon Accounts Targeted by New Phishing Scam — Here’s How to Stay Safe

A wave of phishing scams is currently targeting Amazon users, putting millions of accounts at risk. Criminals are sending fake emails and text messages that appear to come from Amazon, tricking users into clicking on links that lead to fraudulent login pages. If you enter your details on these fake pages, your account can be hijacked.

Amazon has confirmed that some of these phishing messages claim your Prime subscription is being renewed at a suspicious price. The messages often include personal information to make them look more believable. In some cases, users are sent text messages about fake refunds or order issues, further increasing the chances of someone falling for the scam.

Cybersecurity firm Guardio recently reported a dramatic rise in such attacks, noting a 5000% increase in fake Amazon texts over just two weeks. These messages aim to trick users into entering their Amazon credentials, which the attackers can then use to take over accounts.

While Amazon has removed tens of thousands of fake websites and phone numbers used in these scams, the attacks continue to spread. The U.S. Federal Trade Commission (FTC) has also issued warnings, reminding consumers that Amazon will never ask for sensitive information over email or text.

To help protect users, Amazon is urging everyone to update their security settings. Here’s what you should do right away:

1. Turn on Two-Step Verification (2SV)

This adds an extra layer of protection to your account. Once enabled, you’ll need both your password and a one-time code to sign in.

• Avoid using SMS for 2SV — it’s less secure.

• Instead, use an authentication app like Google Authenticator or Apple’s Passwords.

If you’ve already set up 2SV through SMS, switch to an app by turning off the current method, clearing your 2SV settings, and enabling it again using your preferred app.

2. Use a Passkey for Sign-In

Passkeys are a newer, more secure login method that links your Amazon account to your device’s fingerprint or face unlock feature. Unlike passwords, passkeys cannot be phished.

• Even if someone tricks you with a fake login page, they won’t be able to access your account without your physical device.

These two simple steps can greatly reduce your risk of being hacked. With phishing scams on the rise, now is the time to update your settings before it’s too late.

Amazon Customers Face Surge in Phishing Attacks Through Fake Emails and Texts

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Phishing Scams

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Amazon Customers Face Surge in Phishing Attacks Through Fake Emails and Texts

Cybercriminals are actively targeting Amazon users with a sharp increase in phishing scams, and the company is sounding the alarm. Fraudsters are sending deceptive emails that appear to originate from Amazon, prompting users to log in via a counterfeit Amazon webpage. Once a person enters their credentials, attackers steal the information to take over the account. The urgency to secure your Amazon account has never been greater.

These scam emails often warn customers about unexpected Amazon Prime renewal charges. What makes them particularly dangerous is the use of stolen personal data to make the emails appear genuine. Amazon’s warning reached over 200 million users, emphasizing the widespread nature of this threat.

Adding to the concern, cybersecurity firm Guardio reported a dramatic spike in a related scam—this time delivered through SMS. This variant claims to offer fake refunds, again luring users to a fraudulent Amazon login page. According to Guardio, these text-based scams have jumped by 5000% in just two weeks, showing how aggressively attackers are adapting their tactics.

Amazon says it is actively fighting back, having removed 55,000 phishing websites and 12,000 scam phone numbers involved in impersonation schemes over the past year. Despite these efforts, scammers persist. To combat this, Amazon issued six practical tips for customers to recognize and avoid impersonation fraud.

The U.S. Federal Trade Commission (FTC) has also issued alerts, noting that scammers are pretending to be Amazon representatives. These fake messages typically claim there’s a problem with a recent purchase. But there’s no refund or issue—just a trap designed to steal money or private data.

To stay protected, Amazon strongly recommends two major security measures. First, enable two-step verification (2SV) via the “Login & Security” settings in your account. Avoid using SMS-based verification, which is more vulnerable. Instead, use a trusted authenticator app such as Google Authenticator or Apple’s Passwords. If you’ve already set up SMS verification, disable it and reset your 2SV preferences to switch to an app-based method.

Second, add a passkey to your account. This provides a stronger layer of defense by linking your login to your device’s biometric or PIN-based security, making phishing attacks far less effective. Unlike traditional methods, passkeys cannot be intercepted through fake login pages.

Cyberattacks are growing more sophisticated and aggressive. By updating your account with these safety tools today, you significantly reduce the risk of being compromised.

Brushing Scam Targets Amazon Customers with Unsolicited Packages and Hidden Cyber Threats

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Postal Service

Amazon Brushing Scam customer privacy Cyber Fraud cyber threat Data Fraud data security Data Theft Postal Service

Brushing Scam Targets Amazon Customers with Unsolicited Packages and Hidden Cyber Threats

Ray Simmons was confused when he received an unexpected Amazon package containing beet chews. Initially, he thought it might be a joke from someone encouraging him to eat healthier. However, it turned out to be part of a broader scam known as “brushing,” where consumers receive unsolicited deliveries from online sellers attempting to manipulate product ratings and reviews.

Brushing scams involve third-party sellers who send low-value goods to individuals whose names and addresses are often scraped from publicly available online sources. After the product is delivered, scammers use the recipient’s identity or create a fake account that resembles the recipient to leave positive reviews. These fake reviews can artificially boost a product’s credibility, helping it rank higher in search results and increasing sales.

While receiving a free item might seem harmless, the scam carries hidden dangers. The U.S. Postal Inspection Service (USPIS) warns that these incidents indicate misuse of personal information. Even more concerning is the potential for packages to include QR codes, which might direct recipients to malicious websites. Scanning such codes can result in the installation of malware or the theft of personal data.

The scam is a reminder that personal data is often accessible and can be exploited without a consumer’s knowledge. USPIS stresses the importance of not interacting with suspicious elements included in unsolicited packages. Inspector David Gealey noted that even though these items may appear insignificant, they are a signal that someone has unauthorized access to your personal information.

Fortunately, the package Simmons received did not include a QR code. Nonetheless, he took immediate action by checking his Amazon and banking accounts for any signs of unauthorized access. This kind of vigilance is exactly what USPIS recommends for anyone in a similar situation.

Authorities advise that recipients of such packages should not scan any QR codes or click on any related links. They also emphasize that there is no obligation to return unsolicited items. Instead, consumers should monitor their financial and e-commerce accounts for any suspicious activity and report the incident to local law enforcement, USPIS, or the Federal Trade Commission.

Though brushing scams may appear to be minor nuisances, they reflect deeper issues related to data privacy and cyber fraud. Staying informed and cautious can help consumers protect themselves from further harm and support efforts to hold malicious actors accountable.

Over 21 Million Employee Screenshots Leaked from WorkComposer Surveillance App

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Workplace

Amazon Employee Personal Information Privacy Workplace

Over 21 Million Employee Screenshots Leaked from WorkComposer Surveillance App

An app designed to track employee productivity by logging keystrokes and taking screenshots has suffered a significant privacy breach as more than 21 million images of employee activity were left in an unsecured Amazon S3 bucket.

An app for tracking employee productivity by logging keystrokes and capturing screenshots was hit by a major privacy breach resulting in more than 21 million images of employee activity left in an unsafe Amazon S3 bucket.

Experts at Cybernews discovered the breach at WorkComposer, a workplace surveillance software that monitors employee activity by tracking their digital presence. Although the company did secure access after being informed by Cybernews, the data was already leaked in real time to anyone with an internet connection, exposing the sensitive work information online of thousands of employees and companies.

WorkComposer is an application used by more than 200,000 users in various organizations. It is aimed to help those organizations surveil employee productivity by logging keystrokes, monitoring how much time employees spend on each app, and capturing desktop screenshots every few minutes.

With millions of these screenshots leaked to the open web raises threats of vast sensitive data exposed: email captures, confidential business documents, internal chats, usernames and passwords, and API keys. These things could be misused to target companies and launch identity theft scams, hack employee accounts, and commit more breaches.

Also, the businesses that have been using WorkCompose could now be accountable to E.U GDPR (General Data Protection Regulation) or U.S CCPA (California Consumer Privacy Act) violations besides other legal actions.

As employees have no agency over what tracking tools may record in their workday, information such as private chats, medical info, or confidential projects; the surveillance raises ethical concerns around tracking tools and a severe privacy violation if these screenshots are exposed.

Since workers have no control over what tracking tools may capture in their workday, be it private chats, confidential projects, or even medical info, there’s already an iffy ethical territory around tracking tools and a serious privacy violation if the screenshots are leaked.

The WorkComposer incident is not the first. Cybernews have reported previous leaks from WebWork, another workplace tracking tool that experienced a breach of 13 million screenshots.

New Sec-Gemini v1 from Google Outperforms Cybersecurity Rivals

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Technology

Amazon Artificial Intelligence ChatGPT Cybersecurity CyberThreat Google GTI Microsoft New Sec Gemini OpenAI Technology

New Sec-Gemini v1 from Google Outperforms Cybersecurity Rivals

A cutting-edge artificial intelligence model developed by Google called Sec-Gemini v1, a version of Sec-Gemini that integrates advanced language processing, real-time threat intelligence, and enhanced cybersecurity operations, has just been released. With the help of Google's proprietary Gemini large language model and dynamic security data and tools, this innovative solution utilizes its capabilities seamlessly to enhance security operations.

A new AI model, Sec-Gemini v1 that combines sophisticated reasoning with real-time cybersecurity insights and tools has been released by Google. This integration makes the model extremely capable of performing essential security functions like threat detection, vulnerability assessment, and incident analysis. A key part of Google's effort to support progress across the broader security landscape is its initiative to provide free access to Sec-Gemini v1 to select institutions, professionals, non-profit organizations, and academic institutions to promote a collaborative approach to security research.

Due to its integration with Google Threat Intelligence (GTI), the Open Source Vulnerabilities (OSV) database, and other key data sources, Sec-Gemini v1 stands out as a unique solution. On the CTI-MCQ threat intelligence benchmark and the CTI-Root Cause Mapping benchmark, it outperforms peer models by at least 11%, respectively. Using the CWE taxonomy, this benchmark assesses the model's ability to analyze and classify vulnerabilities.

One of its strongest features is accurately identifying and describing the threat actors it encounters. Because of its connection to Mandiant Threat Intelligence, it can recognize Salt Typhoon as a known adversary, which is a powerful feature. There is no doubt that the model performs better than its competitors based on independent benchmarks. According to a report from Security Gemini v1, compared to comparable AI systems, Sec-Gemini v1 scored at least 11 per cent higher on CTI-MCQ, a key metric used to assess threat intelligence capabilities.

Additionally, it achieved a 10.5 per cent edge over its competitors in the CTI-Root Cause Mapping benchmark, a test that assesses the effectiveness of an AI model in interpreting vulnerability descriptions and classifying them by the Common Weakness Enumeration framework, an industry standard. It is through this advancement that Google is extending its leadership position in artificial intelligence-powered cybersecurity, by providing organizations with a powerful tool to detect, interpret, and respond to evolving threats more quickly and accurately.

It is believed that Sec-Gemini v1 has the strength to be able to perform complex cybersecurity tasks efficiently, according to Google. Aside from conducting in-depth investigations, analyzing emerging threats, and assessing the impact of known vulnerabilities, you are also responsible for performing comprehensive incident investigations. In addition to accelerating decision-making processes and strengthening organization security postures, the model utilizes contextual knowledge in conjunction with technical insights to accomplish the objective.

Though several technology giants are actively developing AI-powered cybersecurity solutions—such as Microsoft's Security Copilot, developed with OpenAI, and Amazon's GuardDuty, which utilizes machine learning to monitor cloud environments—Google appears to have carved out an advantage in this field through its Sec-Gemini v1 technology.

A key reason for this edge is the fact that it is deeply integrated with proprietary threat intelligence sources like Google Threat Intelligence and Mandiant, as well as its remarkable performance on industry benchmarks. In an increasingly competitive field, these technical strengths place it at the top of the list as a standout solution. Despite the scepticism surrounding the practical value of artificial intelligence in cybersecurity - often dismissed as little more than enhanced assistants that still require a lot of human interaction - Google insists that Sec-Gemini v1 is fundamentally different from other artificial intelligence models out there.

The model is geared towards delivering highly contextual, actionable intelligence rather than simply summarizing alerts or making basic recommendations. Moreover, this technology not only facilitates faster decision-making but also reduces the cognitive load of security analysts. As a result, teams can respond more quickly to emerging threats in a more efficient way. At present, Sec-Gemini v1 is being made available exclusively as a research tool, with access being granted only to a select set of professionals, academic institutions, and non-profit organizations that are willing to share their findings.

There have been early signs that the model will make a significant contribution to the evolution of AI-driven threat defence, as evidenced by the model's use-case demonstrations and early results. It will introduce a new era of proactive cyber risk identification, contextualization, and mitigation by enabling the use of advanced language models.

In real-world evaluations, the Google security team demonstrated Sec-Gemini v1's advanced analytical capabilities by correctly identifying Salt Typhoon, a recognized threat actor, with its accurate analytical capabilities. As well as providing in-depth contextual insights, the model provided in-depth contextual information, including vulnerability details, potential exploitation techniques, and associated risk levels. This level of nuanced understanding is possible because Mandiant's threat intelligence provides a rich repository of real-time threat data as well as adversary profiles that can be accessed in real time.

The integration of Sec-Gemini v1 into other systems allows Sec-Gemini v1 to go beyond conventional pattern recognition, allowing it to provide more timely threat analysis and faster, evidence-based decision-making. To foster collaboration and accelerate model refinement, Google has offered limited access to Sec-Gemini v1 to a carefully selected group of cybersecurity practitioners, academics, and non-profit organizations to foster collaboration.

To avoid a broader commercial rollout, Google wishes to gather feedback from trusted users. This will not only ensure that the model is more reliable and capable of scaling across different use cases but also ensure that it is developed in a responsible and community-led manner. During practical demonstrations, Google's security team demonstrated Sec-Gemini v1's ability to identify Salt Typhoon, an internationally recognized threat actor, with high accuracy, as well as to provide rich contextual information, such as vulnerabilities, attack patterns and potential risk exposures associated with this threat actor.

Through its integration with Mandiant's threat intelligence, which enhances the model's ability to understand evolving threat landscapes, this level of precision and depth can be achieved. The Sec-Gemini v1 software, which is being made available for free to a select group of cybersecurity professionals, academic institutions, and nonprofit organizations, for research, is part of Google's commitment to responsible innovation and industry collaboration.

Before a broader deployment of this model occurs, this initiative will be designed to gather feedback, validate use cases, and ensure that it is effective across diverse environments. Sec-Gemini v1 represents an important step forward in integrating artificial intelligence into cybersecurity. Google's enthusiasm for advancing this technology while ensuring its responsible development underscores the company's role as a pioneer in the field.

Providing early, research-focused access to Sec-Gemini v1 not only fosters collaboration within the cybersecurity community but also ensures that Sec-Gemini v1 will evolve in response to collective expertise and real-world feedback, as Google offers this model to the community at the same time. Sec-Gemini v1 has demonstrated remarkable performance across industry benchmarks as well as its ability to detect and mitigate complex threats, so it may be able to change the face of threat defense strategies in the future.

The advanced reasoning capabilities of Sec-Gemini v1 are coupled with cutting-edge threat intelligence, which can accelerate decision-making, cut response times, and improve organizational security. However, while Sec-Gemini v1 shows great promise, it is still in the research phase and awaiting wider commercial deployment. Using such a phased approach, it is possible to refine the model carefully, ensuring that it adheres to the high standards that are required by various environments.

For this reason, it is very important that stakeholders, such as cybersecurity experts, researchers, and industry professionals, provide valuable feedback during the first phase of the model development process, to ensure that the model's capabilities are aligned with real-world scenarios and needs. This proactive stance by Google in engaging the community emphasizes the importance of integrating AI responsibly into cybersecurity.

This is not solely about advancing the technology, but also about establishing a collaborative framework that can make it easier to detect and respond to emerging cyber threats more effectively, more quickly, and more securely. The real issue is the evolution of Sec-Gemini version 1, which may turn out to be one of the most important tools for safeguarding critical systems and infrastructure around the globe in the future.

Microsoft and Amazon’s Quantum Progress Poses New Risks for Encryption

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Technology

Amazon Cryptography CyberCrime CyberThreat Global Attacks Google Microsoft NIST PQC Quantum Technology

Microsoft and Amazon’s Quantum Progress Poses New Risks for Encryption

Microsoft, Amazon, and Google have all announced recent advances in quantum computing that are likely to accelerate the timeline for the possible obsolescence of current encryption standards. These developments indicate that it will become increasingly important to address the vulnerabilities posed by quantum computing to existing cryptographic protocols shortly. Those who are leading the way in the technological race are those who are advancing quantum computing technology, which is the most powerful technology that will be able to easily decrypt the encryption mechanisms that safeguard the internet's security and data privacy.

On the other hand, there are researchers and cybersecurity experts who are working on the development of post-quantum cryptography (PQC) - a new generation of encryption technologies that can handle quantum system computational power with ease. A quantum-resistant encryption system must be prioritized by organisations and governments to ensure long-term security of their data and digital communications, especially as the quantum era has come closer than anticipated to being realized.

Even though quantum decryption and quantum-resistant encryption are competing more than ever, the race for global cybersecurity infrastructure requires strategic investment and proactive measures. There has been an important advancement in quantum computing in the field, with Amazon Web Services (AWS) announcing the inaugural quantum computing chip called Ocelot, which represents a significant step in the pursuit of practical quantum computing.

One of the most critical challenges in the field is error correction. Using Ocelot, Amazon Web Services claims that it may be possible to drastically reduce the cost of quantum error correction by as much as 90 percent, thus speeding up the process toward fault-tolerant quantum systems being realized. In the future, error correction will continue to be an important barrier to quantum computing. This is because quantum systems are inherently fragile, as well as highly susceptible to environmental disturbances, such as fluctuating temperatures, electromagnetic interference, and vibrations from the environment.

As a result of these external factors, quantum operations are exposed to a substantial amount of computational errors, which make it extremely challenging to maintain their stability and reliability. Research in quantum computing is progressing rapidly, which means innovations like Ocelot could play a crucial role in helping mitigate these challenges, paving the way for more robust and scalable quantum computing in the future.

If a sufficiently advanced quantum computer has access to Shor's algorithm or any potential enhancements to it, it will be possible for it to decrypt existing public key encryption protocols, such as RSA 2048, within 24 hours by leveraging Shor's algorithm. With the advent of quantum computing, modern cybersecurity frameworks are going to be fundamentally disrupted, rendering current cryptographic mechanisms ineffective.

The encryption of any encrypted data that has been unauthorizedly acquired and stored under the "harvest now, decrypt later" strategy will become fully available to those who have such quantum computing capabilities. A severe breach of internet communications, digital signatures, and financial transactions would result in severe breaches of trust in the digital ecosystem, resulting in serious losses in trust. The inevitability of this threat does not depend on the specific way by which PKE is broken, but rather on the certainty that a quantum system with sufficient power will be able to achieve this result in the first place.

Consequently, the National Institute of Standards and Technology (NIST) has been the frontrunner in developing advanced encryption protocols designed to withstand quantum-based attacks in response to these threats. Post-quantum cryptography (PQC) is an initiative that is based on mathematical structures that are believed to be immune from quantum computational attacks, and is a product of this effort. To ensure the long-term security of digital infrastructure, PKE must be replaced with PQC. There is, however, still a limited amount of awareness of the urgency of the situation, and many stakeholders are still unaware of quantum computing's potential impact on cybersecurity, and are therefore unaware of its potential.

As the development of quantum-resistant encryption technologies through 2025 becomes increasingly important, it will play an increasingly important role in improving our understanding of these methodologies, accelerating their adoption, and making sure our global cybersecurity standards will remain safe. For a cryptographic method to be effective, it must have computationally infeasible algorithms that cannot be broken within a reasonable period. These methods allow for secure encryption and decryption, which ensures that data is kept confidential for authorized parties. However, no encryption is completely impervious indefinitely.

A sufficiently powerful computing machine will eventually compromise any encryption protocol. Because of this reality, cryptographic standards have continuously evolved over the past three decades, as advances in computing have rendered many previous encryption methods obsolete. For example, in the "crypto wars" of the 1990s, the 1024-bit key encryption that was at the center of the debate has long been retired and is no longer deemed adequate due to modern computational power. Nowadays, it is hardly difficult for a computer to break through that level of encryption.

In recent years, major technology companies have announced that the ability to break encryption is poised to take a leap forward that has never been seen before. Amazon Web Services, Google, and Microsoft have announced dramatic increases in computational power facilitated by quantum computing technology. Google introduced "Willow" in December and Microsoft announced "Majorana 1" in February, which signals a dramatic rise in computational power. A few days later, Amazon announced the "Ocelot" quantum computing machine. Each of these breakthroughs represents an important and distinct step forward in the evolution of quantum computing technology, a technology that has fundamentally redefined the way that processors are designed.

In contrast to traditional computing systems, quantum systems are based on entirely different principles, so their efficiency is exponentially higher. It is evident that advances in quantum computing are accelerating an era that will have a profound effect on encryption security and that cybersecurity practices need to be adjusted urgently to cope with these advances. In recent years, quantum computing has made tremendous strides in computing power. It has led to an extraordinary leap in computational power unmatched by any other technology. In the same manner as with any technological breakthrough that has an impact on our world, it is uncertain what it may mean.

However, there is one aspect that is becoming increasingly clear: the computational barriers that define what is currently infeasible will be reduced to problems that can be solved in seconds, as stated by statements from Google and Microsoft. In terms of data security, this change has profound implications. It will be very easy for quantum computers to unlock encrypted information once they become widely accessible, thus making it difficult to decrypt encrypted data today. Having the capability to break modern encryption protocols within a matter of seconds poses a serious threat to digital privacy and security across industries.

The development of quantum-resistant cryptographic solutions has been undertaken in anticipation of this eventuality. A key aspect of the Post-Quantum Cryptography (PQC) initiative has been the leadership role that NIST has been assuming since 2016, as it has played a historical role in establishing encryption standards over the years. NIST released a key milestone in global cybersecurity efforts in August when it released its first three finalized post-quantum encryption standards.

Major technology companies, including Microsoft, Amazon Web Services (AWS), and Google, are not only contributing to the advancement of quantum computing but are also actively participating in the development of PQC solutions as well. Google has been working with NIST on developing encryption methods that can withstand quantum-based attacks. These organizations have been working together with NIST to develop encryption methods that can withstand quantum attacks. During August, Microsoft provided an update on their PQC efforts, followed by AWS and Microsoft.

The initiatives have been in place long before the latest quantum hardware advances, yet they are a strong reminder that addressing the challenges posed by quantum computing requires a comprehensive and sustained commitment. However, establishing encryption standards does not guarantee widespread adoption, as it does not equate to widespread deployment. As part of the transition, there will be a considerable amount of time and effort involved, particularly in ensuring that it integrates smoothly into everyday applications, such as online banking and secure communications, thereby making the process more complex and time consuming.

Because of the challenges associated with implementing and deploying new encryption technologies on a large scale, the adoption of new encryption technologies has historically spanned several years. Due to this fact, it cannot be overemphasized how urgent it is for us to prepare for a quantum era. A company's strategic planning and system design must take into account PQC considerations proactively and proactively. It has become increasingly clear that all organizations must address the issue of PQC rather than delay it. The fundamental principle remains that if the user breaks encryption, they are much more likely to break it than if they construct secure systems.

Moreover, cryptographic implementation is a complex and error-prone process in and of itself. For the cybersecurity landscape to be successful at defending against quantum-based threats, a concerted, sustained effort must be made across all aspects. There is a lot of excitement on the horizon for encryption, both rapidly and very challenging. As quantum computing emerges, current encryption protocols face an existential threat, which means that organizations that fail to react quickly and decisively will suffer severe security vulnerabilities, so ensuring the future of digital security is imperative.

The Future of Data Security Lies in Quantum-Safe Encryption

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Technology

Amazon Cryptographic CyberThreat data security Datathreat PQC Quantum- safe Encryption Technology

The Future of Data Security Lies in Quantum-Safe Encryption

Cybersecurity experts and analysts have expressed growing concerns over the potential threat posed by quantum computing to modern cryptographic systems. Unlike conventional computers that rely on electronic circuits, quantum computers leverage the principles of quantum mechanics, which could enable them to break widely used encryption protocols.

If realized, this advancement would compromise digital communications, rendering them as vulnerable as unprotected transmissions. However, this threat remains theoretical at present. Existing quantum computers lack the computational power necessary to breach standard encryption methods. According to a 2018 report by the National Academies of Sciences, Engineering, and Medicine, significant technological breakthroughs are still required before quantum computing can effectively decrypt the robust encryption algorithms that secure data across the internet.

Despite the current limitations, researchers emphasize the importance of proactively developing quantum-resistant cryptographic solutions to mitigate future risks. Traditional computing systems operate on the fundamental principle that electrical signals exist in one of two distinct states, represented as binary bits—either zero or one. These bits serve as the foundation for storing and processing data in conventional computers.

In contrast, quantum computers harness the principles of quantum mechanics, enabling a fundamentally different approach to data encoding and computation. Instead of binary bits, quantum systems utilize quantum bits, or qubits, which possess the ability to exist in multiple states simultaneously through a phenomenon known as superposition.

Unlike classical bits that strictly represent a zero or one, a qubit can embody a probabilistic combination of both states at the same time. This unique characteristic allows quantum computers to process and analyze information at an exponentially greater scale, offering unprecedented computational capabilities compared to traditional computing architectures. Leading technology firms have progressively integrated post-quantum cryptographic (PQC) solutions to enhance security against future quantum threats.

Amazon introduced a post-quantum variant of TLS 1.3 for its AWS Key Management Service (KMS) in 2020, aligning it with evolving NIST recommendations. Apple incorporated the PQ3 quantum-resistant protocol into its iMessage encryption in 2024, leveraging the Kyber algorithm alongside elliptic-curve cryptography for dual-layer security. Cloudflare has supported post-quantum key agreements since 2023, utilizing the widely adopted X25519Kyber768 algorithm.

Google Chrome enabled post-quantum cryptography by default in version 124, while Mozilla Firefox introduced support for X25519Kyber768, though manual activation remains necessary. VPN provider Mullvad integrates Classic McEliece and Kyber for key exchange, and Signal implemented the PQDXH protocol in 2023. Additionally, secure email service Tutanota employs post-quantum encryption for internal communications. Numerous cryptographic libraries, including OpenSSL and BoringSSL, further facilitate PQC adoption, supported by the Open Quantum Safe initiative.

Modern encryption relies on advanced mathematical algorithms to convert plaintext data into secure, encrypted messages for storage and transmission. These cryptographic processes operate using digital keys, which determine how data is encoded and decoded. Encryption is broadly categorized into two types: symmetric and asymmetric.

Symmetric encryption employs a single key for both encryption and decryption, offering high efficiency, making it the preferred method for securing stored data and communications. In contrast, asymmetric encryption, also known as public-key cryptography, utilizes a key pair—one publicly shared for encryption and the other privately held for decryption. This method is essential for securely exchanging symmetric keys and digitally verifying identities through signatures on messages, documents, and certificates.

Secure websites utilizing HTTPS protocols rely on public-key cryptography to authenticate certificates before establishing symmetric encryption for communication. Given that most digital systems employ both cryptographic techniques, ensuring their robustness remains critical to maintaining cybersecurity. Quantum computing presents a significant cybersecurity challenge, with the potential to break modern cryptographic algorithms in mere minutes—tasks that would take even the most advanced supercomputers thousands of years.

The moment when a quantum computer becomes capable of compromising widely used encryption is known as Q-Day, and such a machine is termed a Cryptographically Relevant Quantum Computer (CRQC). While governments and defense organizations are often seen as primary targets for cyber threats, the implications of quantum computing extend far beyond these sectors. With public-key cryptography rendered ineffective, all industries risk exposure to cyberattacks.

Critical infrastructure, including power grids, water supplies, public transportation, telecommunications, financial markets, and healthcare systems, could face severe disruptions, posing both economic and life-threatening consequences. Notably, quantum threats will not be limited to entities utilizing quantum technology; any business or individual relying on current encryption methods remains at risk. Ensuring quantum-resistant cryptographic solutions is therefore imperative to safeguarding digital security in the post-quantum era.

As the digital landscape continues to evolve, the inevitability of quantum computing necessitates a proactive approach to cybersecurity. The widespread adoption of quantum-resistant cryptographic solutions is no longer a theoretical consideration but a fundamental requirement for ensuring long-term data security.

Governments, enterprises, and technology providers must collaborate to accelerate the development and deployment of post-quantum cryptography to safeguard critical infrastructure and sensitive information. While the full realization of quantum threats remains in the future, the urgency to act is now. Organizations must assess their current security frameworks, invest in quantum-safe encryption technologies, and adhere to emerging standards set forth by cryptographic experts.

The transition to quantum-resilient security will be a complex but essential undertaking to maintain the integrity, confidentiality, and resilience of digital communications. By preparing today, industries can mitigate the risks posed by quantum advancements and uphold the security of global digital ecosystems in the years to come.

Amazon Faces Lawsuit Over Alleged Secret Collection and Sale of User Location Data

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Data Theft

Amazon class action lawsuits Data Breach Data Harvesting SDK Data Privacy Data Safety User Data data security Data Theft

Amazon Faces Lawsuit Over Alleged Secret Collection and Sale of User Location Data

A new class action lawsuit accuses Amazon of secretly gathering and monetizing location data from millions of California residents without their consent. The legal complaint, filed in a U.S. District Court, alleges that Amazon used its Amazon Ads software development kit (SDK) to extract sensitive geolocation information from mobile apps. According to the lawsuit, plaintiff Felix Kolotinsky of San Mateo claims

Amazon embedded its SDK into numerous mobile applications, allowing the company to collect precise, timestamped location details. Users were reportedly unaware that their movements were being tracked and stored. Kolotinsky states that his own data was accessed through the widely used “Speedtest by Ookla” app. The lawsuit contends that Amazon’s data collection practices could reveal personal details such as users’ home addresses, workplaces, shopping habits, and frequented locations.

It also raises concerns that this data might expose sensitive aspects of users’ lives, including religious practices, medical visits, and sexual orientation. Furthermore, the complaint alleges that Amazon leveraged this information to build detailed consumer profiles for targeted advertising, violating California’s privacy and computer access laws. This case is part of a broader legal pushback against tech companies and data brokers accused of misusing location tracking technologies.

In a similar instance, the state of Texas recently filed a lawsuit against Allstate, alleging the insurance company monitored drivers’ locations via mobile SDKs and sold the data to other insurers. Another legal challenge in 2024 targeted Twilio, claiming its SDK unlawfully harvested private user data. Amazon has faced multiple privacy-related controversies in recent years. In 2020, it terminated several employees for leaking customer data, including email addresses and phone numbers, to third parties.

More recently, in June 2023, Amazon agreed to a $31 million settlement over privacy violations tied to its Alexa voice assistant and Ring doorbell products. That lawsuit accused the company of storing children’s voice recordings indefinitely and using them to refine its artificial intelligence, breaching federal child privacy laws.

Amazon has not yet issued a response to the latest allegations. The lawsuit, Kolotinsky v. Amazon.com Inc., seeks compensation for affected California residents and calls for an end to the company’s alleged unauthorized data collection practices.

No More Internet Cookies? Digital Targeted Ads to Find New Ways

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User Data

Amazon Chrome Cookie Data Facebook Safari Technology User Data

No More Internet Cookies? Digital Targeted Ads to Find New Ways

Google Chrome to block cookies

The digital advertising world is changing rapidly due to privacy concerns and regulatory needs, and the shift is affecting how advertisers target customers. Starting in 2025, Google to stop using third-party cookies in the world’s most popular browser, Chrome. The cookies are data files that track our internet activities in our browsers. The cookie collects information sold to advertisers, who use this for targeted advertising based on user data.

“Cookies are files created by websites you visit. By saving information about your visit, they make your online experience easier. For example, sites can keep you signed in, remember your site preferences, and give you locally relevant content,” says Google.

In 2019 and 2020, Firefox and Safari took a step back from third-party cookies. Following their footsteps, Google’s Chrome allows users to opt out of the settings. As the cookies have information that can identify a user, the EU’s and UK’s General Data Protection Regulation (GDPR) asks a user for prior consent via spamming pop-ups.

No more third-party data

Once the spine of targeted digital advertising, the future of third-party cookies doesn’t look bright. However, not everything is sunshine and rainbows.

While giants like Amazon, Google, and Facebook are burning bridges by blocking third-party cookies to address privacy concerns, they can still collect first-party data about a user from their websites, and the data will be sold to advertisers if a user permits, however in a less intrusive form. The harvested data won’t be of much use to the advertisers, but the annoying pop-ups being in existence may irritate the users.

How will companies benefit?

One way consumers and companies can benefit is by adapting the advertising industry to be more efficient. Instead of using targeted advertising, companies can directly engage with customers visiting websites.

Advances in AI and machine learning can also help. Instead of invasive ads that keep following you on the internet, the user will be getting information and features personally. Companies can predict user needs, and via techniques like automated delivery and pre-emptive stocking, give better results. A new advertising landscape is on its way.

Amazon Fined for Twitch Data Breach Impacting Turkish Nationals

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Streaming Platform

Amazon Data Breach Data Leak Data protection data security Fines Hacker attack Personal Data Streaming Platform

Amazon Fined for Twitch Data Breach Impacting Turkish Nationals

Türkiye has imposed a $58,000 fine on Amazon for a data breach that occurred on its subsidiary, Twitch, in 2021. The breach exposed sensitive personal information of thousands of Turkish citizens, drawing scrutiny from the country’s Personal Data Protection Board (KVKK). The incident began when an anonymous hacker leaked Twitch’s entire source code, along with personally identifiable information (PII) of users, in a massive 125 GB torrent posted on the 4chan imageboard. The KVKK investigation revealed that 35,274 Turkish nationals were directly affected by the leak.

As a result, KVKK levied fines totaling 2 million lira, including 1.75 million lira for Amazon’s failure to implement adequate preemptive security measures and 250,000 lira for not reporting the breach in a timely manner. According to the regulatory body, Twitch’s risk and threat assessments were insufficient, leaving users’ data vulnerable to exploitation. The board concluded that the company only addressed the vulnerabilities after the breach had already occurred. Twitch, acquired by Amazon in 2014 for $970 million, attempted to minimize concerns by assuring users that critical login credentials and payment information had not been exposed. The company stated that passwords were securely hashed with bcrypt, a strong encryption method, and claimed that systems storing sensitive financial data were not accessed.

However, the leaked information still contained sensitive PII, leading to significant privacy concerns, particularly for Turkish users who were impacted. The motivation behind the hack was reportedly ideological rather than financial. According to reports from the time, the hacker expressed dissatisfaction with the Twitch community and aimed to disrupt the platform by leaking the data. The individual claimed their intent was to “foster more disruption and competition in the online video streaming space.” While this rationale highlighted frustrations with Twitch’s dominance in the industry, the data breach had far-reaching consequences, including legal action, reputational damage, and increased regulatory scrutiny. Türkiye’s actions against Amazon and Twitch underline the growing importance of adhering to local data protection laws in an increasingly interconnected world.

The fines imposed by KVKK serve as a reminder that global corporations must ensure compliance with regional regulations to avoid significant penalties and reputational harm. Türkiye’s regulations align with broader trends, as data privacy and security become critical components of global business practices. This incident also underscores the evolving nature of cybersecurity challenges. Hackers continue to exploit vulnerabilities in popular platforms, putting pressure on companies to proactively identify and address risks before they lead to breaches. As regulatory bodies like KVKK become more assertive in holding companies accountable, the need for robust data protection frameworks has never been more urgent. The Twitch breach also serves as a case study for the importance of transparency and swift response in the aftermath of cyberattacks.

While Twitch’s reassurances regarding encrypted data helped mitigate some concerns, the lack of prompt reporting to Turkish authorities drew criticism. Companies handling large amounts of user data must prioritize both preventive measures and clear communication strategies to regain user trust after incidents. Looking forward, the Twitch data breach highlights the necessity for all companies—especially those managing sensitive user data—to invest in proactive cybersecurity strategies. As hackers grow increasingly sophisticated, businesses must adopt a forward-thinking approach to safeguard their platforms, comply with local laws, and ensure users’ privacy remains uncompromised.

Amazon and Audible Face Scrutiny Amid Questionable Content Surge

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Youtube

Amazon Audible ClearFake Cyber Security CyberCrime Cyberhackers CyberThreat Google Youtube

Amazon and Audible Face Scrutiny Amid Questionable Content Surge

The Amazon online book and podcast services, Amazon Music, and Audible have been inundated by bogus listings that attempt to trick customers into clicking on dubious "forex trading" sites, Telegram channels, and suspicious links claiming to offer pirated software for sale. It is becoming increasingly common to abuse Spotify playlists and podcasts to promote pirated software, cheat codes for video games, spam links, and "warez" websites.

To spam Spotify web player results into search engines such as Google, threat actors can inject targeted keywords and links in the description and title of playlists and podcasts to boost SEO for their dubious online properties. In these listings, there are playlist names, podcast description titles, and bogus "episodes," which encourage listeners to visit external links that link to places that might cause a security breach.

A significant number of threat actors exploit Google's Looker Studio (formerly Google Data Studio) to boost the search engine ranking of their illicit websites that promote spam, torrents, and pirated content by manipulating search engine rankings. According to BleepingComputer, one of the methods used in the SEO poisoning attack is Google's datastudio.google.com subdomain, which appears to lend credibility to the malicious website.

Aside from mass email spam campaigns, spammers are also using Audible podcasts as another means to spread the word about their illicit activities. Spam can be sent to any digital platform that is open to the public, and no digital platform is immune to that. In cases such as those involving Spotify or Amazon, there is an interesting aspect that is, one would instinctively assume that the overhead associated with podcasting and digital music distribution would deter spammers, who would otherwise have to turn to low-hanging fruit, like writing spammy posts to social media or uploading videos that have inaccurate descriptions on YouTube.

The most recent instance of this was a Spotify playlist entitled "Sony Vegas Pro 13 Crack...", which seemed to drive traffic to several "free" software sites listed in the title and description of the playlist. Karol Paciorek, a cybersecurity enthusiast who spotted the playlist, said, "Cybercriminals exploit Spotify for malware distribution because Spotify has become a prominent tool for distributing malware. Why? Because Spotify's tracks and pages are easily indexed by search engines, making it a popular location for creating malicious links.".

The newest business intelligence tool from Google, Looker Studio (formerly, Google Data Studio) is a web-based tool that allows users to make use of data to create customizable reports and dashboards allowing them to visualize and analyze their data. A Data Studio application can, and has been used in the past, to track and visualize the download counts of open source packages over some time, such as four weeks, for a given period. There are many legitimate business cases for Looker Studio, but like any other web service, it may be misused by malicious actors looking to host questionable content on illegal domains or manipulate search engine results for illicit URLs.

Recent SEO poisoning campaigns have been seen targeting keywords related to the U.S. midterm election, as well as pushing malicious Zoom, TeamViewer, and Visual Studio installers to targeted sites. In advance of this article's publication, BleepingComputer has reached out to Google to better understand the strategy Google plans to implement in the future.

Firstory is a new service launched in 2019 that enables podcasters to distribute their shows across the globe, and even connect with audiences, thereby empowering them to enjoy their voice! Firstory is open to publishing podcasts on Spotify, but it acknowledges that spam is an ongoing issue that it is increasingly trying to address, as it focuses on curtailing it as much as possible.

Spam accounts and misleading content remain persistent challenges for digital platforms, according to Stanley Yu, co-founder of Firstory, in a statement provided to BleepingComputer. Yu emphasized that addressing these issues is an ongoing priority for the company. To tackle the growing threat of unauthorized and spammy content, Firstory has implemented a multifaceted approach. This includes active collaboration with major streaming platforms to detect and remove infringing material swiftly.

The company has also developed and employed advanced technologies to scan podcast titles and show notes for specific keywords associated with spam, ensuring early identification and mitigation of potential violations. Furthermore, Firstory proactively monitors and blocks suspicious email addresses commonly used by malicious actors to infiltrate and disrupt digital ecosystems. By integrating technology-driven solutions with strategic partnerships, Firstory aims to set a higher standard for content integrity across platforms.

The company’s commitment reflects a broader industry imperative to protect users and maintain trust in an ever-expanding digital landscape. As digital platforms evolve, sustained vigilance and innovation will be essential to counter emerging threats and foster a safer, more reliable online environment.

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Over 21 Million Employee Screenshots Leaked from WorkComposer Surveillance App

New Sec-Gemini v1 from Google Outperforms Cybersecurity Rivals

Microsoft and Amazon’s Quantum Progress Poses New Risks for Encryption

The Future of Data Security Lies in Quantum-Safe Encryption

Amazon Faces Lawsuit Over Alleged Secret Collection and Sale of User Location Data

No More Internet Cookies? Digital Targeted Ads to Find New Ways

Google Chrome to block cookies

No more third-party data

How will companies benefit?

Amazon Fined for Twitch Data Breach Impacting Turkish Nationals

Amazon and Audible Face Scrutiny Amid Questionable Content Surge

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