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Telegram Desktop Flaw Could Turn Old Chat Exports Into Data Theft Traps
ExPatch disclosed stored XSS in Telegram Desktop HTML export letting bot messages steal chat data when exports open in browsers.
ExPatch researchers Denis and Aleksander Rostilov found a stored XSS flaw (CVSS 8.2) where bot inline keyboard button text was written unescaped into HTML chat exports, executing attacker JavaScript in browsers. The payload can persist in chat history for months, exfiltrate messages, metadata, and local file paths, and rewrite the page, spreading via forwarded messages without bot membership. Telegram fixed it by applying SerializeString(), first stable fixed release 7.0.1 shipped July 14, 2026, but HTML exports created with vulnerable versions remain dangerous.
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US charges 17 Iranian hackers over 31-terabyte academic data theft
US indicts 17 Iranian Mabna Institute hackers who stole 31TB of academic data from universities, companies, and agencies via spearphishing.
The US Department of Justice charged 17 alleged Mabna Institute members, adding eight defendants to the nine charged in 2018, for a 2013-2017 campaign largely conducted for Iran's Islamic Revolutionary Guard Corps. The group stole over 31TB of academic data and intellectual property from 144 US and 178 foreign universities, at least 42 US companies, and at least five federal and state agencies, compromising about 8,000 of 100,000 spearphished professor email accounts. US universities spent roughly $3.4 billion procuring the stolen data; one defendant also hacked HBO and sought about $6 million in bitcoin ransom. The State Department offers up to $10 million for information on five defendants, none of whom are in US custody.
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Canada’s Hospital for Sick Children attacked by cybercriminals again as employee data stolen
Canada's Hospital for Sick Children reported a data theft incident exposing current and former employee data via a third-party application.
The Hospital for Sick Children (SickKids), Canada's largest pediatric health center, disclosed that hackers stole personal information of current and former employees, job applicants, and SickKids Foundation staff, likely through a third-party software application. The attack briefly took down the hospital's careers website but did not involve clinical systems or patient information. Affected individuals were notified and offered two years of credit monitoring. The hospital was previously hit by ransomware in 2022.
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GTIG AI Threat Tracker: From Prompting to Autonomy – The Evolution of Adversarial AI
GTIG's Q2 2026 tracker shows adversaries adopting agentic AI workflows, including credential harvesting in under six hours and supply chain attacks by UNC6780.
Google Threat Intelligence Group's Q2 2026 report documents adversaries moving from basic prompting to agentic AI workflows and automation, including a cloud compromise followed by agent-enabled mass credential harvesting executed in under six hours. It tracks financially motivated actor UNC6780 (TeamPCP) conducting large-scale open source supply chain compromises across PyPI, npm, and Docker Hub since March 2026, deploying credential stealers. The report also highlights growing targeting of proprietary AI models, source code, prompts, and API credentials, plus LLMJacking practices where adversaries steal developer credentials or hijack cloud infrastructure to run unauthorized AI workloads.
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ChatGPT Sandbox Flaw Lets Attackers Steal Gmail Data Across Accounts via Hidden Channel
Check Point found a cross-account covert channel in ChatGPT sandboxes via shared JFrog Artifactory metadata, enabling session hijacking and Gmail data theft. Now fixed.
Check Point discovered that ChatGPT code-execution containers across different accounts could all reach the same internal JFrog Artifactory instance, whose Item Properties API was readable and writable by all accounts, creating a covert cross-account communication channel. Attackers could plant hidden instructions via pasted prompts, shared chat links, or custom GPTs, then trigger tasks in a victim's session to exfiltrate connected-app data such as Gmail, using ChatGPT's default 'Important actions' setting that permits reads without confirmation. OpenAI confirmed and decommissioned the shared Artifactory instance, closing the channel before publication.
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HVNC Backdoor Targets LATAM Organizations with Fake Tax and DocuSign Lures
A custom HVNC backdoor is targeting Latin American financial organizations via fake DocuSign and NFe tax-document lures, giving attackers hidden persistent remote access.
ANY.RUN researchers analyzed a multi-stage phishing campaign delivering a custom HVNC backdoor to banking and financial organizations in Latin America. The chain starts with fake DocuSign and NFe tax-document pages that serve per-visitor ZIP archives, followed by an LNK dropper, an NSIS loader, and a 64-bit backdoor masquerading as Windows Update Assistant. The implant provides hidden remote desktop control, keystroke monitoring, Firefox data theft, Startup-folder persistence, and EDR-aware behavior, communicating over TCP/27015.
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The AI Attack Surface: How Threat Actors Abuse Trusted AI Platforms
Huntress explains how threat actors abuse trusted AI platforms as an attack surface for malware delivery and data theft.
Huntress's post describes threat actors targeting the AI attack surface, abusing trusted AI tools and platforms to deliver malware and steal data. Using legitimate AI services helps attacker activity blend into normal traffic and evade detection. The article frames AI platforms as an increasingly exploited part of the enterprise attack surface that defenders should monitor.
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Autonomous AI Agents Compromise Thousands of Credentials in Under Six Hours
Google's GTIG reports threat actors using autonomous AI agents, credential stealers, and LLMs to steal AI models, API credentials, and harvest thousands of credentials.
Google Threat Intelligence Group says attackers are targeting proprietary AI models across healthcare, government, and media, exfiltrating API credentials, and co-opting victim cloud environments to run unauthorized AI workloads. TeamPCP (Altered Spider/UNC6780) is conducting supply chain compromises of PyPI, npm, and Docker Hub, deploying the SANDCLOCK and DUSTMAKER credential stealers, with DUSTMAKER using AI workspace poisoning and prompt injection for defense evasion. One financially motivated actor used an autonomous multi-agent framework to compromise thousands of third-party credentials in under six hours without human intervention. China-nexus groups UNC6508 and Basin Castle (Mustang Panda) used local open-weight LLMs and commercial LLMs like Gemini, Claude, and Codex for espionage tasks and evading provider monitoring.
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