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Bank Phishing Sites Fake Suspensions to Evade Takedowns

  Cybercriminals operating a large-scale bank-phishing campaign have adopted a sophisticated method to evade takedown efforts: presenting ma...

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User Data
agentic AI Agentic Attacks Blockchain Chainalysis Cyber Attacks User Data

Chainalysis Says Cyber Breach Exposed User Data and Authentication Tokens Due to Agentic Attack


Blockchain analytics company Chainalysis has warned that information belonging to all its users was exposed after a cyberattack involving what it described as “offensive agentic techniques.” 

Offensive agentic techniques used

In an update published recently, the company disclosed that an unidentified attacker had gained unauthorized access to its systems and internal tools, exposing customer information that included names, usernames, password hashes and active authentication tokens. 

Chainalysis initially reported the security incident on October 30 but said at the time that it had found no evidence of unauthorized access to authentication credentials or session tokens.

Chainalysis has not identified the attacker or provided technical details about how the intrusion was carried out. The company previously said it detected an external actor using “offensive agentic techniques” to access its infrastructure. 

Such techniques generally involve AI-powered systems capable of carrying out multiple tasks with limited human intervention, potentially helping attackers automate different stages of a cyber intrusion.

About the breach

The latest disclosure indicates that the impact of the breach was more extensive than initially understood. Chainalysis did not clarify whether every category of information was exposed for every user or disclose the total number of affected accounts. 

The company serves more than 1,500 customers, including law enforcement agencies, financial institutions, cryptocurrency businesses, regulators and national security organizations.

Customer accouts also assessed

Chainanalysis also confirmed that some customer accounts associated with its Know Your Transaction (KYT) service appeared to have been accessed without authorization. The platform is used by organizations to monitor cryptocurrency transactions and identify suspicious financial activities.

In addition to the exposure of password hashes and authentication tokens, Chainalysis disclosed a separate security issue involving an on-path attack. 

In this type of attack, a malicious actor intercepts communications between users and an online service, potentially capturing sensitive information. 

The company said the interception method had been contained and remediated, while affected accounts were being locked. However, it remains unclear whether these incidents were connected to the original intrusion or involved the same attacker.

Impact on services

The breach has also impacted several Chainalysis services. The company temporarily took its KYT user interface and application programming interface (API), Address Screening products and login page offline after detecting abnormal activity. Its Reactor investigation platform and Data Solutions product had also been taken offline earlier as a precaution. 

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Technology
AI Data Privacy AI Security Policies ChatGPT ban Claude AI Data protection Government Cybersecurity Microsoft Copilot Shadow IT Sweden AI Restrictions Technology

Sweden Excludes ChatGPT and Claude From Government Workflows While Retaining Copilot


It has been reported that Sweden's Government Offices are blocking direct access to ChatGPT from OpenAI and Claude from Anthropic's official computers, in response to concerns regarding information security and the use of artificial intelligence services without formal agreements. Following a security assessment, government employees were instructed to utilize Microsoft Copilot, which remains an approved artificial intelligence tool. 

The restriction came into effect on October 26, 2026. Following reports by Sveriges Radio and SVT, the Government Offices, responsible for supporting the Swedish Prime Minister and various ministries, confirmed the restrictions. Government employees are prohibited from using the browser versions of ChatGPT and Claude on their work computers outside of the organization's approved security arrangements and this decision covers these browser versions. 

According to Mikael Wettercrantz, director of digitalization at the Government Offices, employees were warned through the internal staff network to avoid using artificial intelligence services without formal agreements in order to protect their information security. He also provided several examples of problematic AI tool use, which involved employees entering incorrect information into AI tools and responding to their responses. 

Several concerns have been raised regarding the potential for sensitive government information to be submitted to external AI platforms without clearly defined contractual protection. A formal agreement can be used to provide service providers with details about how information can be processed, retained, and protected, as well as the conditions under which it may be accessed or used. 

Microsoft Copilot remains available to government employees following a security review. It is also reported that the Government Offices enhanced its security settings before approving the service. It is not known what specific technical changes were made during the assessment process. Copilot's decision does not, however, establish that it is more secure inherently than ChatGPT or Claude. 

The distinction is mainly determined by organisational approval, contractual arrangements and security controls. Rather than allowing unrestricted access to consumer-facing AI platforms, the Government Offices have permitted access to a reviewed service. Additionally, the restrictions do not eliminate the ability of government officials to access OpenAI and Anthropic models. 

A Swedish media report indicates some employees will continue to use ChatGPT and Claude through Intric, an AI-assistant platform developed for Government Offices. This provides a controlled access route separate from the publicly available browser services. This policy reflects a wider effort among public institutions to restrict the use of artificial intelligence services that do not follow approved data protection and security policies. 

The Government Offices in Sweden are not the only authority adopting such a policy. Similarly, the Swedish Tax Agency and the National Board of Institutional Care have already imposed similar restrictions on consumer artificial intelligence tools, and the Swedish Enforcement Authority is currently preparing their own decision on the matter. 

Concerns have also been raised within the Swedish Transport Administration. According to an internal review, around ten artificial intelligence services have been identified as widespread and risky across the organization. These findings indicate the difficulty of monitoring artificial intelligence tools when employees adopt services independently and without formal approval, a practice commonly associated with shadow IT, which can be difficult to control.

There is an international aspect to this issue. In February, the European Parliament disabled the use of artificial intelligence tools on work devices after determining that security was not guaranteed. However, unlike Sweden's narrower approach, the Parliament's restrictions also covered Microsoft's Copilot, which indicates that approval is determined by the security measures of each organization rather than the reputation of a particular provider. 

Moreover, there is a noteworthy distinction within Microsoft's approved service, Copilot, which provides access to Anthropic models, although these models are disabled by default and must be approved by an administrator for European Union customers. In its Copilot environment, it is unclear if Anthropic's models are enabled by the Swedish Government Offices. Consequently, some uncertainty exists regarding the degree to which services restricted to staff computers will be permitted through Microsoft's platform as compared to those restricted to staff computers. 

Additionally, the decision raises concerns about data handling for organizations and individuals outside government. Consumer AI services require prompts to be processed through the provider's systems in accordance with standard terms, while enterprise agreements can provide more specific conditions. This restriction highlights the increasing importance of secure AI adoption across government institutions. 

As public agencies integrate AI into their daily operations, clear data protection policies, approved platforms, and stronger administrative oversight will remain necessary to prevent sensitive information from being exposed due to unregulated AI services.
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Hacker attack
Computer Hacking Credential stealing cryptocurrency cryptocurrency mining Cyber Security Hacker attack

Canadian Man Extradited to U.S. Over University Hacking and Cryptocurrency Mining Scheme

A Canadian national has been extradited to the United States to face charges over an alleged hacking operation that targeted universities and used compromised computers to mine cryptocurrency. The scheme, which prosecutors say ran from 2016 to 2019, allegedly involved stealing login credentials, deploying malware and exploiting the computing resources of educational institutions for financial gain. 

Ryan James Roach, 35, of Saskatchewan, and Mathiew James Stubbings, 41, of Ontario, have been indicted by a federal grand jury in the Western District of New York. Both face charges including conspiracy to obtain information from protected computers and cause damage to them, unauthorised acquisition of computer information and intentional computer damage. The charges carry potential penalties of up to 10 years in prison and a $250,000 fine. 

According to the indictment, the alleged operation took place between June 2016 and December 2019. The two defendants are accused of targeting educational institutions in New York, Tennessee, North Carolina and Massachusetts, particularly institutions with access to supercomputers. At least some of the compromised systems were located at a higher education institution in the Western District of New York. Prosecutors allege that Roach and Stubbings used virtual private servers hosted in multiple countries to distribute malware and cryptocurrency-mining software. 

The servers were reportedly registered under false identities and also used to retain credentials stolen from victims. To disguise their activity, the defendants allegedly routed their operations through servers and computers that had already been compromised at other institutions. After gaining unauthorised access, the pair allegedly installed malware, collected login credentials and transferred stolen information to infrastructure under their control. They then made victim machines perform cryptocurrency-mining operations, using their processing capacity to generate revenue for the defendants. 

The indictment further alleges that the attackers researched security weaknesses in university networks and employed specialised tools to survey compromised environments and expand their access. The operation damaged at least 10 protected computers within a one-year period and caused losses of no less than $5,000. Roach was extradited from Canada on October 28 and appeared before U.S. Magistrate Judge Mark W. Pedersen. 

He was arraigned and remained in custody pending a detention hearing scheduled for November 3, 2026. Extradition proceedings for Stubbings are continuing in Canada. The case is being prosecuted by Assistant U.S. Attorney Meghan K. McGuire. The FBI and the Justice Department’s Computer Crime and Intellectual Property Section investigated the alleged scheme. 

The Justice Department’s Office of International Affairs also assisted in securing Roach’s arrest and extradition. The indictment represents formal criminal allegations, not a finding of guilt. Both defendants are presumed innocent unless and until proven guilty in court.
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vpn
CVE Cyber Intelligence ESET Gorbag Hacking phishing Russia Threat Intelligence Ukraine vpn

Russia-Aligned Hackers Target Ukraine's War Crimes Courts and Military Aid Networks

 



A Russia-aligned hacking group that researchers had not previously named or documented has been running a systematic intelligence campaign against Ukrainian institutions since at least February 2025, targeting courts, prosecutors, local government bodies, and a major foreign military aid hub, according to a report published Tuesday by cybersecurity firm ESET.

The group, which ESET has labeled Gorbag, operates with a focused mandate: collect documents and credentials that give Russian intelligence visibility into how Ukraine is tracking war crimes, where foreign weapons are arriving, and how effectively Russian strikes are degrading infrastructure near the front lines. ESET said the group "demonstrates precise targeting and operational intent to contribute to Russia's broader strategic goals in the war with Ukraine."

About a quarter of Gorbag's known targets are law enforcement and judicial institutions. ESET researchers say this pattern points to Russian efforts to monitor ongoing war crimes investigations, including which soldiers and officers have been identified, what evidence has been gathered, and which individuals face prosecution. Courts and prosecutors hold precisely that case material, and the Kremlin would have an obvious interest in knowing what investigators know.

Another quarter of the group's victims are local government bodies, concentrated among city councils operating near active fighting. These are not high-profile targets on their own, but they hold something specific: internal damage assessments from Russian airstrikes, including infrastructure repair estimates that have never been publicly released. For Russian military planners evaluating whether strikes are achieving their intended effect, that internal accounting is far more useful than what appears in news reports.

ESET also identified a major transportation hub for foreign military aid as a Gorbag target, one that had been previously struck in Russian airstrikes. Its inclusion in the campaign fits a third intelligence priority the firm attributes to the group: tracking inbound weapons deliveries and mapping the logistics infrastructure that moves military equipment into Ukraine from abroad.


Getting in through the mailbox

Gorbag's entry method is phishing, specifically emails carrying malicious attachments formatted to look like official correspondence about administrative penalties or outstanding taxes. The choice of lure is deliberate. Administrative staff in Ukrainian municipal offices process exactly these kinds of documents, and a notice framed as an overdue government fine is designed to generate urgency without triggering immediate suspicion.

Once a machine is compromised, Gorbag deploys a custom info-stealer ESET calls BeautyStealer. The tool searches the infected computer, removable drives, and connected network shares for files of value, then attempts to erase itself after sending the data out, limiting what forensic investigators would find. The group also uses a remote access tool called Prime ReverseShell, built on publicly available code, that allows operators to issue commands to a compromised machine directly.

What BeautyStealer collects is a combination of credentials and documents. Saved browser passwords, authentication cookies, VPN configuration files, Microsoft Office documents, email archives, and compressed files all fall within scope. That mixture is significant: credentials open doors to systems the attacker has not yet reached, while the documents provide the raw intelligence. ESET notes Gorbag may pass stolen credentials to separate groups for follow-on intrusions, though this relationship has not been confirmed.


An old flaw put to new use

Starting in early 2026, Gorbag added another technique. The group began exploiting CVE-2025-8088, a path traversal vulnerability in WinRAR that lets an attacker write files outside an intended extraction folder by abusing NTFS Alternate Data Streams. The flaw was patched in July 2025, but systems running older versions remained open. WinRAR is used extensively across Ukrainian organizations, making it a consistent point of interest for Russia-aligned actors. RomCom, another Russian-linked group, had exploited the same vulnerability before Gorbag adopted it.

"As long as the war in Ukraine continues, we expect groups such as Gorbag to remain a persistent threat to Ukrainian government, justice, and defense entities." [ESET researchers]

ESET characterizes Gorbag as less technically sophisticated than elite Russian state hacking units. The group shows little interest in deep persistence or careful lateral movement through networks over time. Its posture is transactional: access a machine, harvest whatever is reachable, and exit. That approach may reflect a division of labor inside Russia's intelligence apparatus, where collection-focused units gather raw material and pass it upstream to actors with more specialized capabilities.

The targeting reinforces that reading. Gorbag is not hitting central government ministries or high-value military command networks in Kyiv. It is operating at the administrative layer of a country at war, the city councils, the courts, the logistics checkpoints, the bureaucratic infrastructure that underpins both civilian governance and military operations near the contact line. That is exactly where granular, operational intelligence lives, and exactly where it is least expected to be a target.



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Sensitive Business Data
AI Data Exposure AI Security Artificial Intelligence Security Cloud Security Data Breach Data Privacy Microsoft Azure Misconfiguration Private Chat Logs Sensitive Business Data

Over 18 Million Files Leaked in AI Aggregator Breach, Raising Privacy Concerns


There has been a major data exposure at the AI aggregator 302.ai that has resulted in millions of documents containing private user conversations, personal information and confidential business material becoming publicly accessible. 


Cybernews cybersecurity researchers discovered an unsecured Microsoft Azure storage bucket belonging to this platform, which exposed approximately 22.72 terabytes of information. There were 17.6 million files in the exposed archive, including images, videos, audio recordings, documents and chat histories. The storage bucket was publicly accessible without password protection or encryption, resulting in anyone able to discover its location having access to the information stored there. 

302.ai is a platform that facilitates the interaction between users and a variety of artificial intelligence services, enabling customers to access multiple large language models on one platform. In addition to ChatGPT, Claude, Grok, DeepSeek, and Gemini, the company supports ChatGPT, Claude, Grok, and Gemini. This arrangement permits users to switch between artificial intelligence models without having to access each provider separately. 

According to Cybernews, the exposed storage contained approximately 144,000 JSON-formatted conversation logs. Users' prompts, AI-generated responses, models used to process requests, timestamps, token consumption costs, and other related metadata were part of these records. As part of the conversations, users entered personally identifiable information as they interacted with the platform. 

The records included details about their birthdates, genders, names, contact information, and addresses, among other personal information. A combination of such information and conversation histories and uploaded documents can reveal more details about individuals than their ordinary chatbot activity. The exposure was more extensive than text-based communications.

The archive contained more than 9 terabytes of images, 7.7 terabytes of videos, and another 5.6 terabytes of audio files. The researchers also discovered over 26,000 ZIP archives containing conversation summaries, inputs from users, AI responses, and attachments to individual sessions. According to reports, a number of documents within the storage were related to large language model development research projects and materials reportedly submitted for private analysis. It is evident from the findings that the information exposed was not confined to individuals, but included information related to business activities as well. 

An especially sensitive discovery involved multiple conversations with a chatbot that provided customer support for a prominent manufacturer of sex dolls. These records illustrate the increasing use of third-party artificial intelligence platforms to manage enterprise customer interactions, resulting in potentially exposing confidential and personal information to external storage environments. Cybernews failed to identify the manufacturer or determine whether all of its customer-service records were exposed. 

Despite the discovery, other concerns have been raised regarding the handling of sensitive customer conversations by third-party artificial intelligence services. As opposed to a confirmed cyberattack, researchers stated that the exposure was likely the result of an accidental storage configuration error. Nonetheless, the investigation did not determine whether any unauthorised parties accessed the files prior to the security measures being implemented or if the technical cause could be determined.

The exposed Azure storage was discovered on August 2, 2026, as reported by Cybernews. A team of researchers contacted 302.ai on August 11 and observed that public access had been disabled by September 8. Researchers found no evidence of malicious actors downloading the information, however it was not impossible for unknown parties to obtain access.

Exposed AI Conversations Could Enable Targeted Cyberattacks

Cybercriminals might be able to conduct targeted phishing and social engineering campaigns if these information is obtained by malicious individuals. As a result of chat histories revealing personal details, business relationships, ongoing projects, customer concerns, and other information, attackers are able to make fraudulent communications appear more convincing by using this information. 

Conversations between employees, customers or senior management could be particularly useful for impersonation attempts. An attacker could also use information contained in uploaded documents and interactions with chatbots to identify potential targets and gain an understanding of internal company operations. The incident demonstrates the security risks associated with third-party AI aggregators. 

In addition to providing access to models developed by major technology companies, platforms such as 302.ai also maintain their own infrastructure to handle prompts, conversation histories, and uploaded files. Generally, the security protections offered by the underlying AI providers do not extend to third-party intermediaries. 

Businesses Urged to Review AI Data Handling Practices

For organizations that rely on artificial intelligence platforms to process customer inquiries, internal documents, and other confidential information, the exposure raises significant concerns. Companies using 302.ai should identify which employees and departments have used the service and whether sensitive company information or customer information has been shared. 

A security team should also review all available conversation histories and uploaded files for potential vulnerabilities in credentials, API keys, and confidential documents. Credentials discovered in submitted materials should be rotated, while suspicious account activity should be investigated. In light of the incident, it is important to evaluate third-party AI vendors before incorporating them into business workflows.

Providers should be examined to determine how they restrict access to storage, protect uploaded files, separate customer information, and manage data retention and deletion. 302.ai is developed by Univerads Technology Limited, a Hong Kong-based company founded in 2020. This exposure illustrates how weaknesses in intermediary platforms can result in sensitive information being compromised, even when the AI models accessed through those services are operated by established technology companies.

It is clear from the 302.ai exposure that there are growing security concerns associated with third-party artificial intelligence platforms and sensitive data they handle. Businesses are increasingly integrating artificial intelligence tools into their operations; however, preventing confidential information from being made public requires strong data protection measures, regular security assessments, and thorough vendor evaluations.
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Spyware
Android APT29 Cyber Attacks iOS Spyware

APT29-Linked Campaign Uses Compromised Websites to Target iOS and Android Devices


Russia-linked cyberespionage hackers have compromised a legitimate web analytics script to distribute sophisticated spyware targeting Apple iOS and Google Android devices. The campaign, named Poisoned Source, uses malicious JavaScript injected into trusted websites to identify visitors' devices and deliver exploits designed to steal sensitive information.

The operation has been linked to APT29, a cyberespionage group associated with Russia's Foreign Intelligence Service (SVR). According to cybersecurity researchers, the attackers abused a third-party web analytics service to reach visitors of legitimate websites without requiring them to download suspicious applications or files.

Attackers use three infection methods

According to Sekoia researchers Amaury-Jacques Garçon and Félix Aime, the campaign relied on three main methods to infect devices. These included compromising legitimate websites, creating fake websites that impersonated well-known organisations, and conducting a supply-chain attack against Plerdy SEO Tracker.

The supply-chain compromise took place between August 27 and September 3, 2026. During this period, attackers injected malicious code into the JavaScript file hosted on Plerdy's infrastructure. Since the analytics script was used by thousands of websites, the compromise potentially exposed a large number of visitors to the malicious code.

The researchers discovered that the attackers also created lookalike websites impersonating organisations in the United States, Ukraine, the Czech Republic and Bulgaria. Some compromised websites were associated with the chemical industry, political organisations and military-related activities.

Exploits target iOS and android devices

Once the malicious JavaScript executes, it collects information about the visitor's browser, operating system and device configuration. 

For Apple devices, the attackers used the DarkSword exploit kit to target vulnerable iOS versions. Depending on the device, the malware could steal Safari cookies or extract more extensive information, including text messages, WhatsApp and Telegram databases, contacts, call history, photographs, Wi-Fi passwords and iCloud Keychain data.

Android users were targeted through a separate malware payload called AndroSnitch. The attack exploited vulnerabilities in Google Chrome to gain access to the device and collect browser information, including cookies, saved login details and Wi-Fi passwords.

Researchers identified several security vulnerabilities used in the campaign, including CVE-2025-43529, CVE-2026-20700 and CVE-2026-3910. These vulnerabilities allowed attackers to execute malicious code and bypass security protections on vulnerable devices.

Targeted espionage warning

Sekoia said the campaign appeared to focus on websites likely to attract strategically important visitors, particularly those connected to military organisations and defence-related industries.


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