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Italy Steps Up Cyber Defenses as Milano–Cortina Winter Olympics Approach

 



Inside a government building in Rome, located opposite the ancient Aurelian Walls, dozens of cybersecurity professionals have been carrying out continuous monitoring operations for nearly a year. Their work focuses on tracking suspicious discussions and coordination activity taking place across hidden corners of the internet, including underground criminal forums and dark web marketplaces. This monitoring effort forms a core part of Italy’s preparations to protect the Milano–Cortina Winter Olympic Games from cyberattacks.

The responsibility for securing the digital environment of the Games lies with Italy’s National Cybersecurity Agency, an institution formed in 2021 to centralize the country’s cyber defense strategy. The upcoming Winter Olympics represent the agency’s first large-scale international operational test. Officials view the event as a likely target for cyber threats because the Olympics attract intense global attention. Such visibility can draw a wide spectrum of malicious actors, ranging from small-scale cybercriminal groups seeking disruption or financial gain to advanced threat groups believed to have links with state interests. These actors may attempt to use the event as a platform to make political statements, associate attacks with ideological causes, or exploit broader geopolitical tensions.

The Milano–Cortina Winter Games will run from February 6 to February 22 and will be hosted across multiple Alpine regions for the first time in Olympic history. This multi-location format introduces additional security and coordination challenges. Each venue relies on interconnected digital systems, including communications networks, event management platforms, broadcasting infrastructure, and logistics systems. Securing a geographically distributed digital environment exponentially increases the complexity of monitoring, response coordination, and incident containment.

Officials estimate that the Games will reach approximately three billion viewers globally, alongside around 1.5 million ticket-holding spectators on site. This scale creates a vast digital footprint. High-visibility services, such as live streaming platforms, official event websites, and ticket purchasing systems, are considered particularly attractive targets. Disrupting these services can generate widespread media attention, cause public confusion, and undermine confidence in the organizers’ ability to safeguard critical digital operations.

Italy’s planning has been shaped by recent Olympic experience. During the 2024 Paris Summer Olympics, authorities recorded more than 140 cyber incidents. In 22 cases, attackers managed to gain access to information systems. While none of these incidents disrupted the competitions themselves, the sheer volume of hostile activity demonstrated the persistent pressure faced by host nations. On the day of the opening ceremony in Paris, France’s TGV high-speed rail network was also targeted in coordinated physical sabotage attacks involving explosive devices. This incident illustrated how large global events can attract both cyber threats and physical security risks at the same time.

Italian cybersecurity officials anticipate comparable levels of hostile activity during the Milano–Cortina Games, with an additional layer of complexity introduced by artificial intelligence. AI tools can be used by attackers to automate technical tasks, enhance reconnaissance, and support more convincing phishing and impersonation campaigns. These techniques can increase the speed and scale of cyber operations while making malicious activity harder to detect. Although authorities currently report no specific, elevated threat level, they acknowledge that the overall risk environment is becoming more complex due to the growing availability of AI-assisted tools.

The National Cybersecurity Agency’s defensive approach emphasizes early detection rather than reactive response. Analysts continuously monitor open websites, underground criminal communities, and social media channels to identify emerging threat patterns before they develop into direct intrusion attempts. This method is designed to provide early warning, allowing technical teams to strengthen defenses before attackers move from planning to execution.

Operational coordination will involve multiple teams. Around 20 specialists from the agency’s operational staff will focus exclusively on Olympic-related cyber intelligence from the headquarters in Rome. An additional 10 senior experts will be deployed to Milan starting on February 4 to support the Technology Operations Centre, which oversees the digital systems supporting the Games. These government teams will operate alongside nearly 100 specialists from Deloitte and approximately 300 personnel from the local organizing committee and technology partners. Together, these groups will manage cybersecurity monitoring, incident response, and system resilience across all Olympic venues.

If threats keep developing during the Games, the agency will continuously feed intelligence into technical operations teams to support rapid decision-making. The guiding objective remains consistent. Detect emerging risks early, interpret threat signals accurately, and respond quickly and effectively when specific dangers become visible. This approach reflects Italy’s broader strategy to protect the digital infrastructure that underpins one of the world’s most prominent international sporting events.


Cloud Storage Scam Uses Fake Renewal Notices to Trick Users


Cybercriminals are running a large-scale email scam that falsely claims cloud storage subscriptions have failed. For several months, people across different countries have been receiving repeated messages warning that their photos, files, and entire accounts will soon be restricted or erased due to an alleged payment issue. The volume of these emails has increased sharply, with many users receiving several versions of the same scam in a single day, all tied to the same operation.

Although the wording of each email differs, the underlying tactic remains the same. The messages pressure recipients to act immediately by claiming that a billing problem or storage limit must be fixed right away to avoid losing access to personal data. These emails are sent from unrelated and randomly created domains rather than official service addresses, a common sign of phishing activity.

The subject lines are crafted to trigger panic and curiosity. Many include personal names, email addresses, reference numbers, or specific future dates to appear genuine. The messages state that a renewal attempt failed or a payment method expired, warning that backups may stop working and that photos, videos, documents, and device data could disappear if the issue is not resolved. Fake account numbers, subscription details, and expiry dates are used to strengthen the illusion of legitimacy.

Every email in this campaign contains a link. While the first web address may appear to belong to a well-known cloud hosting platform, it only acts as a temporary relay. Clicking it silently redirects the user to fraudulent websites hosted on changing domains. These pages imitate real cloud dashboards and display cloud-related branding to gain trust. They falsely claim that storage is full and that syncing of photos, contacts, files, and backups has stopped, warning that data will be lost without immediate action.

After clicking forward, users are shown a fake scan that always reports that services such as photo storage, drive space, and email are full. Victims are then offered a short-term discount, presented as a loyalty upgrade with a large price reduction. Instead of leading to a real cloud provider, the buttons redirect users to unrelated sales pages advertising VPNs, obscure security tools, and other subscription products. The final step leads to payment forms designed to collect card details and generate profit for the scammers through affiliate schemes.

Many recipients mistakenly believe these offers will fix a real storage problem and end up paying for unnecessary products. These emails and websites are not official notifications. Real cloud companies do not solve billing problems through storage scans or third-party product promotions. When payments fail, legitimate providers usually restrict extra storage first and provide a grace period before any data removal.

Users should delete such emails without opening links and avoid purchasing anything promoted through them. Any concerns about storage or billing should be checked directly through the official website or app of the cloud service provider.

Former Google Engineer Convicted in U.S. for Stealing AI Trade Secrets to Aid China-Based Startup

 

A former Google software engineer has been found guilty in the United States for unlawfully taking thousands of confidential Google documents to support a technology venture in China, according to an announcement made by the Department of Justice (DoJ) on Thursday.

Linwei Ding, also known as Leon Ding, aged 38, was convicted by a federal jury on 14 charges—seven counts of economic espionage and seven counts of theft of trade secrets. Prosecutors established that Ding illegally copied more than 2,000 internal Google files containing highly sensitive artificial intelligence (AI) trade secrets with the intent of benefiting the People’s Republic of China (PRC).

"Silicon Valley is at the forefront of artificial intelligence innovation, pioneering transformative work that drives economic growth and strengthens our national security," said U.S. Attorney Craig H. Missakian. "We will vigorously protect American intellectual capital from foreign interests that seek to gain an unfair competitive advantage while putting our national security at risk."

Ding was initially indicted in March 2024 after investigators discovered that he had transferred proprietary data from Google’s internal systems to his personal Google Cloud account. The materials allegedly stolen included detailed information on Google’s supercomputing data center architecture used to train and run AI models, its Cluster Management System (CMS), and the AI models and applications operating on that infrastructure.

The misappropriated trade secrets reportedly covered several critical technologies, including the design and functionality of Google’s custom Tensor Processing Unit (TPU) chips and GPU systems, software that enables chip-level communication and task execution, systems that coordinate thousands of chips into AI supercomputers, and SmartNIC technology used for high-speed networking within Google’s AI and cloud platforms.

Authorities stated that the theft occurred over an extended period between May 2022 and April 2023. Ding, who began working at Google in 2019, allegedly maintained undisclosed ties with two China-based technology firms during his employment, one of which was Shanghai Zhisuan Technologies Co., a startup he founded in 2023. Investigators noted that Ding downloaded large volumes of confidential files in December 2023, just days before resigning from the company.

"Around June 2022, Ding was in discussions to be the Chief Technology Officer for an early-stage technology company based in the PRC; by early 2023, Ding was in the process of founding his own technology company in the PRC focused on AI and machine learning and was acting as the company's CEO," the DoJ said.

The case further alleged that Ding attempted to conceal his actions by copying Google source code into the Apple Notes app on his work-issued MacBook, converting the files into PDFs, and uploading them to his personal Google account. Prosecutors also claimed that he asked a colleague to use his access badge to enter a Google facility, creating the false appearance that he was working from the office while he was actually in China.

The investigation reportedly accelerated in late 2023 after Google learned that Ding had delivered a public presentation in China to prospective investors promoting his startup. According to Courthouse News, Ding’s defense attorney Grant Fondo argued that the information could not qualify as trade secrets because it was accessible to a large number of Google employees. "Google chose openness over security," Fonda said.

In a superseding indictment filed in February 2025, Ding was additionally charged with economic espionage, with prosecutors alleging that he applied to a Beijing-backed Shanghai talent program. Such initiatives were described as efforts to recruit overseas researchers to bolster China’s technological and economic development.

"Ding's application for this talent plan stated that he planned to 'help China to have computing power infrastructure capabilities that are on par with the international level,'" the DoJ said. "The evidence at trial also showed that Ding intended to benefit two entities controlled by the government of China by assisting with the development of an AI supercomputer and collaborating on the research and development of custom machine learning chips."

Ding is set to attend a status conference on February 3, 2026. If sentenced to the maximum penalties, he could face up to 10 years in prison for each trade secret theft charge and up to 15 years for each count of economic espionage.

Google Owned Mandiant Finds Vishing Attacks Against SaaS Platforms


Mandiant recently said that it found an increase in threat activity that deploys tradecraft for extortion attacks carried out by a financially gained group ShinyHunters.

  • These attacks use advanced voice phishing (vishing) and fake credential harvesting sites imitating targeted organizations to get illicit access to victims systems by collecting sign-on (SSO) credentials and two factor authentication codes. 
  • The attacks aim to target cloud-based software-as-a-service (SaaS) apps to steal sensitive data and internal communications and blackmail victims. 

Google owned Mandiant’s threat intelligence team is tracking the attacks under various clusters: UNC6661, UNC6671, and UNC6240 (aka ShinyHunters). These gangs might be improving their attack tactics. "While this methodology of targeting identity providers and SaaS platforms is consistent with our prior observations of threat activity preceding ShinyHunters-branded extortion, the breadth of targeted cloud platforms continues to expand as these threat actors seek more sensitive data for extortion," Mandiant said. 

"Further, they appear to be escalating their extortion tactics with recent incidents, including harassment of victim personnel, among other tactics.”

Theft details

UNC6661 was pretending to be IT staff sending employees to credential harvesting links tricking them into multi-factor authentication (MFA) settings. This was found during mid-January 2026.

Threat actors used stolen credentials to register their own device for MFA and further steal data from SaaS platforms. In one incident, the hacker exploited their access to infected email accounts to send more phishing emails to users in cryptocurrency based organizations.

The emails were later deleted to hide the tracks. Experts also found UNC6671 mimicking IT staff to fool victims to steal credentials and MFA login codes on credential harvesting websites since the start of this year. In a few incidents, the hackers got access to Okta accounts. 

UNC6671 leveraged PowerShell to steal sensitive data from OneDrive and SharePoint. 

Attack tactic 

The use of different domain registrars to register the credential harvesting domains (NICENIC for UNC6661 and Tucows for UNC6671) and the fact that an extortion email sent after UNC6671 activity did not overlap with known UNC6240 indicators are the two main differences between UNC6661 and UNC6671. 

This suggests that other groups of people might be participating, highlighting how nebulous these cybercrime organizations are. Furthermore, the targeting of bitcoin companies raises the possibility that the threat actors are searching for other opportunities to make money.

Ivanti Issues Emergency Fixes After Attackers Exploit Critical Flaws in Mobile Management Software




Ivanti has released urgent security updates for two serious vulnerabilities in its Endpoint Manager Mobile (EPMM) platform that were already being abused by attackers before the flaws became public. EPMM is widely used by enterprises to manage and secure mobile devices, which makes exposed servers a high-risk entry point into corporate networks.

The two weaknesses, identified as CVE-2026-1281 and CVE-2026-1340, allow attackers to remotely run commands on vulnerable servers without logging in. Both flaws were assigned near-maximum severity scores because they can give attackers deep control over affected systems. Ivanti confirmed that a small number of customers had already been compromised at the time the issues were disclosed.

This incident reflects a broader pattern of severe security failures affecting enterprise technology vendors in January in recent years. Similar high-impact vulnerabilities have previously forced organizations to urgently patch network security and access control products. The repeated targeting of these platforms shows that attackers focus on systems that provide centralized control over devices and identities.

Ivanti stated that only on-premises EPMM deployments are affected. Its cloud-based mobile management services, other endpoint management products, and environments using Ivanti cloud services with Sentry are not impacted by these flaws.

If attackers exploit these vulnerabilities, they can move within internal networks, change system settings, grant themselves administrative privileges, and access stored information. The exposed data may include basic personal details of administrators and device users, along with device-related information such as phone numbers and location data, depending on how the system is configured.

Ivanti has not provided specific indicators of compromise because only a limited number of confirmed cases are known. However, the company published technical analysis to support investigations. Security teams are advised to review web server logs for unusual requests, particularly those containing command-like input. Exploitation attempts may appear as abnormal activity involving internal application distribution or Android file transfer functions, sometimes producing error responses instead of successful ones. Requests sent to error pages using unexpected methods or parameters should be treated as highly suspicious.

Previous investigations show attackers often maintain access by placing or modifying web shell files on application error pages. Security teams should also watch for unexpected application archive files being added to servers, as these may be used to create remote connections back to attackers. Because EPMM does not normally initiate outbound network traffic, any such activity in firewall logs should be treated as a strong warning sign.

Ivanti advises organizations that detect compromise to restore systems from clean backups or rebuild affected servers before applying updates. Attempting to manually clean infected systems is not recommended. Because these flaws were exploited before patches were released, organizations that had vulnerable EPMM servers exposed to the internet at the time of disclosure should treat those systems as compromised and initiate full incident response procedures rather than relying on patching alone. 

CRIL Uncovers ShadowHS: Fileless Linux Post-Exploitation Framework Built for Stealthy Long-Term Access

 

Operating entirely in system memory, Cyble Research & Intelligence Labs (CRIL) uncovered ShadowHS, a Linux post-exploitation toolkit built for covert persistence after an initial breach. Instead of dropping binaries on disk, it runs filelessly, helping it bypass standard security checks and leaving minimal forensic traces. ShadowHS relies on a weaponized version of hackshell, enabling attackers to maintain long-term remote control through interactive sessions. This fileless approach makes detection harder because many traditional tools focus on scanning stored files rather than memory-resident activity. 

CRIL found that ShadowHS is delivered using an encrypted shell loader that deploys a heavily modified hackshell component. During execution, the loader reconstructs the payload in memory using AES-256-CBC decryption, along with Perl byte skipping routines and gzip decompression. After rebuilding, the payload is executed via /proc//fd/ with a spoofed argv[0], a method designed to avoid leaving artifacts on disk and evade signature-based detection tools. 

Once active, ShadowHS begins with reconnaissance, mapping system defenses and identifying installed security tools. It checks for evidence of prior compromise and keeps background activity intentionally low, allowing operators to selectively activate functions such as credential theft, lateral movement, privilege escalation, cryptomining, and covert data exfiltration. CRIL noted that this behavior reflects disciplined operator tradecraft rather than opportunistic attacks. 

ShadowHS also performs extensive fingerprinting for commercial endpoint tools such as CrowdStrike, Tanium, Sophos, and Microsoft Defender, as well as monitoring agents tied to cloud platforms and industrial control environments. While runtime activity appears restrained, CRIL emphasized the framework contains a wider set of dormant capabilities that can be triggered when needed. 

A key feature highlighted by CRIL is ShadowHS’s stealthy data exfiltration method. Instead of using standard network channels, it leverages user-space tunneling over GSocket, replacing rsync’s default transport to move data through firewalls and restrictive environments. Researchers observed two variants: one using DBus-based tunneling and another using netcat-style GSocket tunnels, both designed to preserve file metadata such as timestamps, permissions, and partial transfer state. 

The framework also includes dormant modules for memory dumping to steal credentials, SSH-based lateral movement and brute-force scanning, and privilege escalation using kernel exploits. Cryptomining support is included through tools such as XMRig, GMiner, and lolMiner. ShadowHS further contains anti-competition routines to detect and terminate rival malware like Rondo and Kinsing, as well as credential-stealing backdoors such as Ebury, while checking kernel integrity and loaded modules to assess whether the host is already compromised or under surveillance.

CRIL concluded that ShadowHS highlights growing challenges in securing Linux environments against fileless threats. Since these attacks avoid disk artifacts, traditional antivirus and file-based detection fall short. Effective defense requires monitoring process behavior, kernel telemetry, and memory-resident activity, focusing on live system behavior rather than static indicators.

Malicious Chrome Extensions Hijack Affiliate Links and Steal ChatGPT Tokens

 

Cybersecurity researchers have uncovered a alarming surge in malicious Google Chrome extensions that hijack affiliate links, steal sensitive data, and siphon OpenAI ChatGPT authentication tokens. These deceptive add-ons, masquerading as handy shopping aids and AI enhancers, infiltrate the Chrome Web Store to exploit user trust. Disguised tools like Amazon Ads Blocker from "10Xprofit" promise ad-free browsing but secretly swap creators' affiliate tags with the developer's own, robbing influencers of commissions across Amazon, AliExpress, Best Buy, Shein, Shopify, and Walmart.

Socket Security identified 29 such extensions in this cluster, uploaded as recently as January 19, 2026, which scan product URLs without user interaction to inject tags like "10xprofit-20." They also scrape product details to attacker servers at "app.10xprofit[.]io" and deploy fake "LIMITED TIME DEAL" countdowns on AliExpress pages to spur impulse buys. Misleading store listings claim mere "small commissions" from coupons, violating policies that demand clear disclosures, user consent for injections, and single-purpose designs.

Broadcom's Symantec separately flagged four data-thieving extensions with over 100,000 installs, including Good Tab, which relays clipboard access to "api.office123456[.]com," and Children Protection, which harvests cookies, injects ads, and executes remote JavaScript. DPS Websafe hijacks searches to malicious sites, while Stock Informer exposes users to an old XSS flaw (CVE-2020-28707). Researchers Yuanjing Guo and Tommy Dong stress caution even with trusted sources, as broad permissions enable unchecked surveillance.

LayerX exposed 16 coordinated "ChatGPT Mods" extensions—downloaded about 900 times—that pose as productivity boosters like voice downloaders and prompt managers. These inject scripts into chatgpt.com to capture session tokens, granting attackers full account access to conversations, metadata, and code. Natalie Zargarov notes this leverages AI tools' high privileges, turning trusted brands into deception vectors amid booming enterprise AI adoption.

Compounding risks, the "Stanley" malware-as-a-service toolkit, sold on Russian forums for $2,000-$6,000, generates note-taking extensions that overlay phishing iframes on bank sites while faking legitimate URLs. Premium buyers get Chrome Store approval guarantees and C2 panels for victim management; it vanished January 27, 2025, post-exposure but may rebrand. Varonis' Daniel Kelley warns browsers are now prime endpoints in BYOD and remote setups.

Users must audit extensions for mismatched features, excessive permissions, and vague disclosures—remove suspects via Chrome settings immediately. Limit installs to verified needs, favoring official apps over third-party tweaks. As e-commerce and AI extensions multiply, proactive vigilance thwarts financial sabotage and data breaches in this evolving browser battlefield.

CISA Issues New Guidance on Managing Insider Cybersecurity Risks

 



The US Cybersecurity and Infrastructure Security Agency (CISA) has released new guidance warning that insider threats represent a major and growing risk to organizational security. The advisory was issued during the same week reports emerged about a senior agency official mishandling sensitive information, drawing renewed attention to the dangers posed by internal security lapses.

In its announcement, CISA described insider threats as risks that originate from within an organization and can arise from either malicious intent or accidental mistakes. The agency stressed that trusted individuals with legitimate system access can unintentionally cause serious harm to data security, operational stability, and public confidence.

To help organizations manage these risks, CISA published an infographic outlining how to create a structured insider threat management team. The agency recommends that these teams include professionals from multiple departments, such as human resources, legal counsel, cybersecurity teams, IT leadership, and threat analysis units. Depending on the situation, organizations may also need to work with external partners, including law enforcement or health and risk professionals.

According to CISA, these teams are responsible for overseeing insider threat programs, identifying early warning signs, and responding to potential risks before they escalate into larger incidents. The agency also pointed organizations to additional free resources, including a detailed mitigation guide, training workshops, and tools to evaluate the effectiveness of insider threat programs.

Acting CISA Director Madhu Gottumukkala emphasized that insider threats can undermine trust and disrupt critical operations, making them particularly challenging to detect and prevent.

Shortly before the guidance was released, media reports revealed that Gottumukkala had uploaded sensitive CISA contracting documents into a public version of an AI chatbot during the previous summer. According to unnamed officials, the activity triggered automated security alerts designed to prevent unauthorized data exposure from federal systems.

CISA’s Director of Public Affairs later confirmed that the chatbot was used with specific controls in place and stated that the usage was limited in duration. The agency noted that the official had received temporary authorization to access the tool and last used it in mid-July 2025.

By default, CISA blocks employee access to public AI platforms unless an exception is granted. The Department of Homeland Security, which oversees CISA, also operates an internal AI system designed to prevent sensitive government information from leaving federal networks.

Security experts caution that data shared with public AI services may be stored or processed outside the user’s control, depending on platform policies. This makes such tools particularly risky when handling government or critical infrastructure information.

The incident adds to a series of reported internal disputes and security-related controversies involving senior leadership, as well as similar lapses across other US government departments in recent years. These cases are a testament to how poor internal controls and misuse of personal or unsecured technologies can place national security and critical infrastructure at risk.

While CISA’s guidance is primarily aimed at critical infrastructure operators and regional governments, recent events suggest that insider threat management remains a challenge across all levels of government. As organizations increasingly rely on AI and interconnected digital systems, experts continue to stress that strong oversight, clear policies, and leadership accountability are essential to reducing insider-related security risks.