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Vatican’s Official Prayer App Exposed Data of Over 700,000 Users

There was a security flaw in the Vatican's official Click to Pray application that exposed personal information linked to more than 700,...

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Google’s Incognito Mode Does Not Make Users Invisible. Here’s What It Actually Protects

 



Google’s Chrome Incognito mode can keep browsing history off a device, but it was never designed to make users anonymous online. A class-action lawsuit over the feature exposed how far that distinction could be misunderstood, with Google agreeing to delete or remediate billions of private-browsing records and change how it explains Incognito to users.

The lawsuit, Brown v. Google, was filed in 2020 and alleged that Google continued collecting information about users while they browsed through Chrome’s Incognito mode and other browsers’ private-browsing modes.

The plaintiffs initially sought billions of dollars in damages, with their claims eventually putting at least $5 billion at stake. However, Google did not ultimately agree to pay $5 billion. Under the settlement, there was no class-wide monetary payout. Instead, Google agreed to data deletion and remediation measures, changes to its privacy disclosures, and additional restrictions on data collection. Plaintiffs’ lawyers valued the settlement’s non-monetary relief at more than $5 billion, with estimates reaching $7.8 billion.

The case nevertheless exposed a fundamental problem with private browsing: preventing a browser from retaining a user's history is not the same thing as preventing websites, network operators or online services from observing that user's activity.


Google employees raised concerns about Incognito

The legal dispute became particularly notable after internal Google communications surfaced during litigation.

In one email, Google Chief Marketing Officer Lorraine Twohill told CEO Sundar Pichai that the company should make Incognito "truly private." She also warned that Google could not market the feature too strongly because it was "not truly private," requiring what she described as "fuzzy, hedging language."

Other internal communications were even more critical of the feature. According to material cited in the litigation, Google employees described Incognito as "misleading" and "effectively a lie," while another employee argued that Google should stop using the Incognito name and its spy-themed icon because users could misunderstand the protection it provided. Another recommendation suggested replacing the messaging with a warning that users were not protected from Google.

These discussions mattered because the lawsuit was not simply about whether Incognito stored browsing history locally. It questioned whether users were being given a sufficiently accurate understanding of what happened to their data after it left the browser.

Google disputed the allegations and maintained that the limitations of Incognito had been communicated to users. A Google spokesperson said the company believed the lawsuit was without merit and argued that Incognito was intended to provide a private browsing experience, rather than prevent websites and services from collecting information.


What Incognito actually does

Chrome's Incognito mode does provide a real privacy function, but that function is primarily local.

When a user opens an Incognito window, Chrome starts a separate browsing session. Once all Incognito windows are closed, Chrome does not retain the browsing history, cookies and site data, or information entered into forms from that session in the normal browser profile. Third-party cookies are also blocked by default in current versions of Chrome, although users can temporarily allow them for particular sites.

This makes Incognito useful in situations where the concern is another person accessing the same device.

Someone using a shared computer, for example, can browse for a gift without leaving the visited pages in Chrome's ordinary history. It can also provide a separate browsing session when a user does not want existing cookies and account sessions to carry over.

But there is an important limitation.

Incognito does not erase everything created during a session. Downloads remain on the device, and bookmarks saved during the session remain available after Incognito is closed. Signing into a website can also allow that service to associate activity with the account being used.

The key distinction is therefore simple: Incognito primarily limits what Chrome stores locally. It does not turn the internet connection into a private tunnel.


Your ISP and network administrator can still see activity

Opening an Incognito window does not prevent an internet service provider from observing network activity.

Google's own documentation states that organizations managing a network, including schools, employers and internet service providers, may be able to observe activity while a user is browsing in Incognito. Incognito also does not hide activity or location from the websites being visited.

This is an important distinction from encryption.

Chrome's HTTPS protections can encrypt traffic between a browser and an HTTPS-enabled website, helping prevent someone monitoring the connection from reading the contents of that traffic. Chrome also warns users when they are about to load sites without HTTPS, while Secure DNS can encrypt DNS lookups in supported configurations.

But HTTPS does not make the user anonymous.

The network still has visibility into connection metadata, while the destination website receives the request and can process information available to it.

In other words, Incognito and HTTPS solve different problems. Incognito reduces local traces. HTTPS protects communications in transit. Neither one, by itself, is an anonymity system.


Websites can still identify and track users

The privacy boundary becomes even clearer once a user reaches a website.

Google's current Chrome documentation explicitly states that Incognito does not change how websites collect data or how the services those websites use collect information. Sites can continue gathering information even when a user is not signed in.

Websites can also use first-party technologies and other mechanisms to understand activity within a session. Third-party cookies are only one part of the tracking ecosystem. Google itself notes that websites can use different mechanisms to personalize content and advertising and learn about activity across sites.

This is also where the distinction between an IP address and browser history matters.

Incognito can prevent a local Chrome profile from retaining the list of pages a user visited. It does not automatically conceal the network address from the websites receiving the connections.

And if a person voluntarily signs into a service while using Incognito, the service has an obvious account-level identifier with which to associate the activity. Google's own documentation warns that signing into a Google service or another website during an Incognito session can allow that site to remember the activity.


The lawsuit forced changes to Incognito

The settlement went further than simply changing a warning message.

According to the court filing, Google agreed to delete or remediate billions of records reflecting class members' private browsing activities. The company also agreed to continue blocking third-party cookies in Incognito for five years.

The filing provides an unusually detailed picture of why the cookie change mattered.

Google had historically collected its own third-party cookies when users visited non-Google websites. After the lawsuit was filed, Google implemented third-party-cookie blocking for Incognito users. Under the settlement, that protection had to remain in place for five years. The plaintiffs' filing said blocking data associated with Google's third-party cookies in Incognito could reduce Google's global annual revenue by nearly $500 million.

Google also agreed to remove four identified private-browsing detection signals. According to the plaintiffs' filing, those signals could reveal that a user had chosen private browsing and were then used to label the resulting data as private. The settlement required Google to delete those signals and agree not to use such detection mechanisms to identify or track private browsing.

The class covered an estimated 136 million users, according to court-related filings.


Google eventually changed the warning

The dispute also changed the language presented to Chrome users.

Chrome's current Incognito documentation now makes the limitation explicit. It says that Incognito does not change how data is collected by websites users visit and the services those websites use, including Google. Google also says that websites, network administrators and ISPs may still be able to observe activity during an Incognito session.

That clarification is arguably more important than the Incognito icon itself.

The familiar private-browsing interface can create an intuitive association between the words "Incognito" and anonymity. Technically, however, the feature is much narrower. Chromium describes Incognito as a window-level mode in which pages are not persisted to browsing history and a temporary cookie store is used for the session.

That is a local privacy mechanism, not an invisibility cloak.


So, is Incognito worth using?

Yes, if the objective is local privacy.

If you share a computer with other people, do not want a particular browsing session stored in your ordinary history, or want a temporary browser session separated from your normal cookies, Incognito remains useful.

It is also useful for testing how a website behaves without the cookies and account state associated with a normal session.

But users should not treat the Incognito icon as a guarantee that their online activity is hidden.

It does not prevent an ISP or network administrator from observing activity. It does not stop websites from collecting information. It does not automatically hide an IP address. It does not prevent a user from being identified after signing into an account. And it does not protect files downloaded to the device after the session ends.

Users seeking stronger privacy need to think in layers rather than relying on a single browser setting.

A privacy-focused browser can reduce tracking at the browser level. Tracker and content blockers can limit third-party collection. A properly configured VPN can conceal the user's IP address from the websites they visit and hide destination traffic from the ISP, although the VPN provider itself becomes part of the trust model. Keeping the browser, operating system and extensions updated remains essential because privacy controls cannot compensate for an unpatched security vulnerability.

Chrome itself should also not be treated as static. Google continues to modify its privacy and security architecture. Third-party-cookie protections in Incognito are already part of the browser's privacy model, while Google has also explored additional protections for IP addresses in Incognito.

The larger lesson from the Incognito lawsuit is therefore not that private browsing is useless.

It is that privacy has layers, and the word "private" can mean very different things depending on where the data is stored, who controls the network and which services receive the user's requests.

Incognito can hide your browsing history from someone checking the same device.

It cannot make you disappear from the internet.

EU Launches New Brussels Team to Enforce AI Act Against Deepfakes and Hacking

 

The European Union rolled out a new enforcement team on Friday to rein in artificial intelligence companies worldwide, marking one of the most aggressive regulatory pushes the high-tech sector has faced. Brussels aims to track AI model use for violations of the bloc's new regulations, including sexually explicit material, fake photos, fake videos, and cyber threats to public infrastructure. The move comes as fears mount globally over the risks rapidly advancing technology poses to people, politics, and prosperity. 

With the EU's landmark AI Act coming into force on Sunday, AI companies must make clear to consumers, through labels or digital watermarks, that chatbots or imagery are generated using artificial intelligence. The European Commission stated that the regulations also address "systemic risks" posed by AI, including chemical, biological, radiological and nuclear incidents, loss of control, cyber offence, and threats to fundamental rights. "As enforcement begins, we are taking an important step towards AI that people and businesses can trust," said Henna Virkkunen, the EU tech sovereignty chief. 

The new team, operating within the EU AI Office in Brussels, will add 38 personnel to monitor AI companies, covering both emerging firms and major American and Chinese technology giants, including OpenAI and DeepSeek. The companies must document certain information, and the European Commission can interview AI company staff during investigations. The Commission has also launched a Whistleblower Tool for tech workers and a Compliance Tool for tech users, allowing people to confidentially alert authorities to illegal conduct. 

The rollout follows alarming AI safety failures that have rattled the nascent industry. Anthropic revealed on Friday that its artificial intelligence models hacked into three other organisations during testing, just days after ChatGPT maker OpenAI disclosed that its rogue models had hacked another company. If AI models break the EU's regulations, Brussels can fine the firms or cut off their access to the EU market. Recent antitrust fines on US technology companies have already irritated US President Donald Trump. 

The enforcement team is the latest move in the 27-nation EU's broader "tech sovereignty" strategy, combining landmark digital regulations with economic ambition. The EU sees systemic vulnerability in its deep reliance on American software giants like Amazon, Google, and Microsoft, alongside imports of Chinese industrial goods and critical minerals. While seeking protections from AI, the bloc is keen to catch up in the AI arms race, where it remains a distant third behind the United States and China. The EU is pursuing greater independence from Washington and Beijing by reinvigorating domestic industries and forging new trade deals.

Amazon Handbook Warns About Online Shopping and Delivery Box Scams

 

Online shopping has become the new norm with millions of people shopping through online platforms like Amazon and Flipkart. Unfortunately, online shopping comes with its own set of risks as frauds and scammers always look for ways to take advantage of people who shop online. Fake websites, false delivery packages, payment frauds and ‘too-good-to-be-true’ deals are some of the methods used by fraudsters. 

Amazon’s new consumer handbook created by Safer Internet India aims to provide online shoppers with information that can help protect them against online frauds and scams. The book highlights some of the key online shopping scams that are currently affecting shoppers. It provides a vital reminder that shopping online involves many risks and consumers need to be wary of the various online scams that they might stumble upon.  

According to the article, one of the scams highlighted in the book is the Delivery Box scam. When customers shop on e-commerce sites like Amazon or Flipkart, the products they purchase usually come in a box with delivery information. According to the new book, the delivery box usually has the customer’s personal information including their names, email address, telephone number and sometimes the item that has been delivered. After removing the item from the box, many customers usually throw away the box without removing the personal information on the delivery label.

According to the report, fraudsters usually collect discarded delivery boxes with personal information and use the information to contact the customers. The fraudster pretends to be a delivery executive and informs the customer that they need their feedback on the product they purchased. The fraudster further explains that the customer stands to receive a discount of 10% or more if they click on a link provided to give feedback. According to the article, the link provided by the scammer contains malware which infiltrates the customer’s device and gathers private information including banking credentials. 

The article informs consumers that they should consider using a sharp object like a knife to scratch off personal information on delivery packaging before throwing the box away. Alternatively, they could use a permanent marker to mask vital information on the delivery box. The Identity Protection Roller Stamp ID could also be considered to protect personal information. 

Moreover, consumers should be wary of random discount offers and avoid clicking on links provided by unknown individuals or entities. The consumer handbook and warning on Delivery Box scams can help shoppers identify online frauds and protect themselves from falling victim to online scams.

Google Pauses AI Tool That Created Fake Images in Google Earth

 

Google has disabled a newly introduced AI feature in Google Earth that allowed users to overlay computer-generated scenes on top of satellite, aerial and 3D images, after reportedly discovering the capability has been used to create misleading content. 

The feature, which used Google’s Nano Banana 2 image generation model, was rolled out on Thursday and disabled nearly 48 hours later, after the company became aware of screenshots of generated images that appeared to depict locations altered in ways that violated Google’s policies. While the company does not specify what prompted its intervention, it notes users “have a strong expectation of Google Earth as a source of authoritative information about the world.” 

Following the removal of the feature, BBC Verify was able to recreate several examples of altered scenes using the tool, including the Eiffel Tower lying in ruins, a sinkhole engulfing the Great Pyramids of Egypt and Russian tanks poised to enter Kyiv. AI and misinformation expert Henk van Ess was also able to demonstrate the ability to create misleading images of real world locations, including a fake nuclear power plant in Iran, a refugee camp along the US and Mexico border and a hospital in Gaza with a crater. “Not only do the images have questionable value as evidence, but the very act of associating them with real-world locations and Google’s own satellite imagery adds an element of credibility to the deception,” said Van Ess. 

Google stated that images generated by its AI model contain invisible watermarks and directed users to Gemini and Google Lens to analyze images and detect authenticity. However, BBC Verify was able to uncover ways to bypass these measures, as well as manipulate the prompt to avoid detection. Meanwhile, researchers found some AI detection tools were unable to identify images generated by the Google Earth tool. 

Henry Ajder, an AI detection researcher, noted that images of populated places and battlespaces could cause “incredible damage to populations if they were to appear as credible evidence of events on the ground.” “The danger comes when the situation on the ground is unclear or time-sensitive, and people are looking for reliable information,” he added. Geospatial analyst Bill Greer added that imagery of the Earth has long been considered a “trusted source” of information by both governments and the public, meaning its misuse could undermine confidence in the technology and its ability to provide truthful insight. 

The episode underlines the challenge facing both creators and users of AI imagery, as the ability to generate increasingly realistic images threatens to erode the value of other trustworthy sources of information.

Amgen Data Breach Exposes Patient Health and Proprietary Cloud Data

 

Amgen has disclosed a serious cloud-related data breach that exposed patient health information and proprietary company data, highlighting how third-party cloud services can become a weak point even for large biopharmaceutical firms. The company said it detected unauthorized activity in July 2026 and immediately activated its cybersecurity response plan, contained the incident, and brought in independent forensic experts to investigate. 

According to Amgen’s filing, attackers exfiltrated data from cloud environments operated by third-party service providers. The stolen information reportedly included proprietary data, protected health information, and other records, while the company continues to determine whether confidential business information, intellectual property, research and development data, or additional patient data was also accessed. 

Amgen has not identified which cloud providers were involved, how the compromise happened, or whether a known threat actor was responsible. It has also not disclosed how many people may be affected, but said the incident was considered material on July 29 after reviewing the volume of impacted files and the possibility that sensitive information was among them. 

The company said it does not currently believe the breach is likely to materially affect its financial condition or operating results, and it has not seen an impact on products, manufacturing, financial reporting systems, or its ability to meet patient needs. Even so, the exposure of protected health information creates long-term privacy and compliance concerns, especially if personal medical or insurance details were included in the stolen files. 

Amgen is still working with third-party cybersecurity experts and reviewing legal and regulatory notification requirements, including obligations under health privacy rules. The case is another reminder that cloud security is only as strong as the controls, monitoring, and vendor oversight behind it, and that incidents involving patient data can carry consequences long after the initial breach is contained.

How Computers Can Leak Secrets Without Being Hacked

 



When people think about a cyberattack, they usually picture stolen passwords, malware, ransomware or someone exploiting a vulnerability to break into a system.

Side-channel attacks work differently. Instead of directly stealing a secret, an attacker studies the traces a computer produces while carrying out normal operations. Tiny differences in processing time, electricity consumption, electromagnetic signals, sounds or hardware activity can reveal clues about what is happening inside the machine.

Think of a locked safe. A thief may not know its combination or be able to break the lock, but if turning the dial produces different clicks or pauses, listening closely could reveal information about the combination. The safe is not deliberately revealing anything. Its physical behavior is simply giving away clues.

Computers can do much the same thing.


A problem that is decades old

Side-channel attacks are not a new phenomenon.

In 1985, Dutch researcher Wim van Eck demonstrated that electromagnetic emissions from video display units could be captured and decoded, potentially revealing what was being displayed. The screen was not intentionally broadcasting its contents, but its normal operation produced signals that could be observed externally.

The technique became particularly important in cryptography during the 1990s. In 1996, researcher Paul Kocher showed that measuring tiny differences in the time taken by cryptographic operations could reveal information about private keys. In 1999, Kocher, Joshua Jaffe and Benjamin Jun demonstrated that measuring power consumption could similarly expose information from cryptographic devices.

Researchers later showed that sound could become another source of leakage. Experiments demonstrated that acoustic emissions from laptops performing cryptographic operations could be analyzed to recover a 4,096-bit RSA key under controlled conditions.

These discoveries changed the way security engineers evaluated systems. A cryptographic algorithm could be mathematically secure while its implementation still leaked information through timing, power, sound or electromagnetic radiation.


When processor performance became a security problem

The rise of modern CPUs created another class of side channels.

Processors use speculative execution to predict which instructions a program will need and execute them ahead of time, improving performance. In 2018, researchers disclosed Meltdown and Spectre, demonstrating that traces left by speculative execution could allow malicious code to infer information that should have remained protected.

The attacks challenged an important assumption in computing: that programs running on the same machine can be reliably isolated from one another. They also demonstrated that security problems could originate from performance features built deep inside the processor rather than from conventional software bugs.

Researchers have continued finding similar problems in newer hardware.

In 2022, Hertzbleed showed that dynamic voltage and frequency scaling, a feature used to manage processor power and performance, could become a timing side channel. Because processor frequency can vary with the computation being performed, an attacker could potentially infer information remotely without directly measuring power consumption. The researchers demonstrated implications for cryptographic key extraction on modern Intel and AMD processors.

In 2023, Downfall exposed another weakness in certain Intel processors through the Gather instruction, while Zenbleed affected AMD's Zen 2 architecture and could expose information from another execution context under particular conditions.

The pattern is becoming difficult to ignore: features designed to make computers faster or more efficient can also create unexpected paths for information leakage.


Side channels are spreading beyond CPUs

Researchers are now finding these channels in other parts of the computing stack.

GPU.zip demonstrated how hardware-based graphics compression could create a side channel capable of exposing visual information processed by graphics processors. The research showed that the problem could extend beyond the CPU and into the way GPUs handle graphical data.

In 2024, GoFetch exposed another hardware-level problem in Apple processors. The attack targeted a feature called a data memory-dependent prefetcher, which predicts future memory requirements to improve performance. Researchers demonstrated that this behavior could undermine protections in cryptographic software and help extract secret keys.

These attacks illustrate why simply securing software is not always enough. Hardware underneath the software can produce information that applications never intended to expose.


The SSD can become a side channel too

The latest research pushes the idea even further.

In 2026, researchers at Graz University of Technology introduced FROST, short for "Fingerprinting Remotely using OPFS-based SSD Timing." The attack targets the browser's Origin Private File System, or OPFS, a feature that allows websites to store and access files within their own sandboxed storage area.

FROST does not give a malicious website direct access to another application's files.

Instead, it measures delays caused when multiple programs compete for the same SSD.

The concept is similar to traffic on a shared road. A driver does not need to see another vehicle to know that it is there. If traffic suddenly makes the journey slower, the delay itself provides information.

FROST applies the same principle to storage. A malicious webpage can repeatedly perform storage operations through OPFS and measure tiny changes in how long they take. Those changes can reveal patterns in other activity occurring on the same computer.

The researchers found that the technique could be used to fingerprint websites and applications. In their evaluation, FROST achieved an F1 score of 88.95% for website fingerprinting and 95.83% for application fingerprinting on tested systems. It can also operate remotely through JavaScript without requiring native code execution.

That does not mean websites can simply read a user's files or see everything happening on a computer. FROST is an inference attack. It identifies activity from the timing patterns produced by shared hardware resources.


A specialised threat, but an important warning

Side-channel attacks are not currently the everyday attack method most users are likely to encounter. Cybercriminals generally have easier options, including phishing, credential theft, malware, ransomware and exploiting vulnerable software.

But their importance extends beyond how frequently criminals use them.

Side-channel research repeatedly reveals that security boundaries can be weaker than they appear. A processor, GPU, browser or storage device may never intentionally disclose sensitive information, yet its normal operation can leave behind measurable clues.

From electromagnetic emissions and cryptographic timing to speculative execution, processor frequency, GPU compression and SSD activity, the side channel keeps changing as computing technology evolves.

Computers do not always need to be hacked for them to leak secrets.

Sometimes, all an attacker needs is to listen to what the machine reveals while it is doing its job.

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