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ChatGPT Sharing Links Abused for Malware Delivery

ChatGPT Sharing Links Abused for Malware Delivery

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.5 BleepingComputer

Threat actors are exploiting ChatGPT's legitimate content-sharing infrastructure to host convincing fake outage pages that trick users into downloading malware disguised as a ChatGPT desktop application. The 'LLMShare' campaign abuses chatgpt.com/s/ shared links to render attacker-crafted HTML within a trusted OpenAI domain, bypassing traditional phishing detection that relies on suspicious URL analysis. The attack chain combines Google ad abuse, domain cloaking, and AI platform misuse to deliver what are likely infostealer payloads.

mouse5212-super-formatter npm Malware Steals Claude Files

mouse5212-super-formatter npm Malware Steals Claude Files

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.2 The Hacker News

A malicious npm package named 'mouse5212-super-formatter' was discovered exfiltrating files from Anthropic's Claude AI user directory by authenticating to a threat actor-controlled GitHub repository. The package disguised itself as a legitimate archive utility while silently uploading all local workspace files during the postinstall phase. Notably, the attacker's poor operational security — including a leaked GitHub token — suggests AI-generated malware with minimal human oversight, pointing to a growing trend of low-skill threat actors leveraging AI to produce supply chain malware.

AI Supply Chain Compromise: Models Lack Bill of Materials

AI Supply Chain Compromise: Models Lack Bill of Materials

ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 6.2 Dark Reading

As AI systems proliferate across enterprise environments, the lack of standardised AI Bills of Materials (AI BOMs) leaves organisations blind to the components, training data, and dependencies embedded in deployed models. The article examines whether 2026 marks a turning point for AI BOM adoption as a risk management practice. Without visibility into AI supply chains, organisations remain exposed to hidden vulnerabilities including poisoned models, compromised dependencies, and undisclosed third-party components.

Gemini Spark Prompt Injection Exposes Enterprise Gmail Data

Gemini Spark Prompt Injection Exposes Enterprise Gmail Data

ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 6.5 Simon Willison

Google's newly announced Gemini Spark personal AI agent, integrated with Gmail, Drive, Calendar, and other sensitive Google services, presents a significant prompt injection attack surface as it processes user data at scale. The article highlights that Google's published security mitigations — ephemeral VMs, Agent Gateway, and DLP policies — address infrastructure isolation but do not directly address the prompt injection vector inherent to LLM-powered agents processing untrusted content. Additionally, the transition from open-source Gemini CLI to a closed-source Antigravity CLI raises supply chain transparency concerns.

AI Agents Weaponise Vulnerability Discovery as AI-Generated Code Expands Attack Surface

AI Agents Weaponise Vulnerability Discovery as AI-Generated Code Expands Attack Surface

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.5 Dark Reading

AI agents are now capable of autonomously discovering and exploiting obscure software vulnerabilities, raising the stakes for defenders already struggling with the volume of potentially insecure AI-generated code flooding codebases. The convergence of agentic exploitation capabilities and mass AI-assisted development creates a compounding risk: more vulnerabilities introduced at scale, and more capable automated systems to find and abuse them. Security teams must adapt their tooling, processes, and threat models to account for both sides of this AI-driven equation.

node-ipc Supply Chain Backdoor Steals Cloud and AI Credentials

node-ipc Supply Chain Backdoor Steals Cloud and AI Credentials

ATLAS OWASP CRITICAL Active exploitation · Immediate action required ▲ 7.2 The Hacker News

Three versions of the widely-used node-ipc npm package were found to contain obfuscated stealer/backdoor payloads published by an unauthorised maintainer account. The malware harvests 90 categories of developer secrets — including Claude AI and Kiro IDE configurations, AWS, Azure, and GCP credentials — and exfiltrates them via HTTPS and DNS tunnelling to an attacker-controlled domain. The compromise is notable for bypassing npm lifecycle hooks entirely and, in one version, targeting a specific developer via pre-computed SHA-256 fingerprinting.

Agent Hijacking: Microsoft's Defense-in-Depth Framework

Agent Hijacking: Microsoft's Defense-in-Depth Framework

ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 7.2 Microsoft Security Blog

Microsoft's Security Blog introduces a layered defense-in-depth model specifically designed for autonomous AI agents, which now invoke tools, modify data, and trigger workflows with minimal human oversight. The framework identifies novel threat classes — including agent hijacking, intent breaking, and supply chain compromise — that are amplified by agentic autonomy. The guidance positions application-layer architecture, permissions, and governance as the most critical controls as agent autonomy scales.

Rust Compiler Tightens LLM Code Policy for Supply Chain

Rust Compiler Tightens LLM Code Policy for Supply Chain

ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 6.2 HN AI Security

The Rust compiler project (rust-lang/rust) is formalising a policy governing LLM use in contributions, signalling growing institutional recognition of AI-generated code risks in critical infrastructure. The policy, proposed via pull request on rust-forge, is scoped to the core compiler repository and will be linked from contribution guidelines. This represents a significant governance precedent for open-source security-critical projects managing supply chain integrity amid widespread LLM-assisted development.

TanStack Supply Chain Attack Exposes OpenAI Keys

TanStack Supply Chain Attack Exposes OpenAI Keys

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.5 The Hacker News

A supply chain attack targeting TanStack via the Mini Shai-Hulud malware compromised two OpenAI employee devices, exposing internal source code repositories and code-signing certificates for macOS, iOS, and Windows apps. While no user data or production systems were breached, OpenAI was forced to revoke and reissue signing certificates, requiring macOS users to update ChatGPT Desktop, Codex, and Atlas apps before June 12, 2026. The incident marks OpenAI's second certificate rotation in two months and is part of a broader campaign by threat actor TeamPCP targeting major AI and open-source ecosystems.

TeamPCP Steals Mistral AI Source Code via Supply Chain

TeamPCP Steals Mistral AI Source Code via Supply Chain

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.5 BleepingComputer

The TeamPCP threat group has compromised Mistral AI's codebase management system via the Shai-Hulud software supply chain attack, stealing approximately 5GB of internal repositories covering training, fine-tuning, benchmarking, and inference pipelines. The hackers are demanding $25,000 for nearly 450 repositories or threatening to leak them publicly within a week. Mistral AI confirmed the breach but stated that core repositories, hosted services, managed user data, and research environments were not affected.

CVE-2026-45321: Supply Chain Worm Targets Mistral AI

CVE-2026-45321: Supply Chain Worm Targets Mistral AI

ATLAS OWASP CRITICAL Active exploitation · Immediate action required ▲ 9.2 The Hacker News

The TeamPCP threat actor has executed a broad supply chain campaign dubbed Mini Shai-Hulud, injecting credential-stealing malware into npm and PyPI packages from major AI and developer tooling ecosystems including Mistral AI, Guardrails AI, and TanStack. The malware profiles execution environments, exfiltrates cloud, CI, and AI tool credentials, and establishes persistence inside Claude Code and VS Code IDEs. The TanStack compromise alone affected 42 packages and 84 versions, exploiting a chained GitHub Actions attack to inject malicious payloads without stealing npm tokens directly.

PromptSpy Zero-Day: AI-Generated Malware for Mass Exploitation

PromptSpy Zero-Day: AI-Generated Malware for Mass Exploitation

ATLAS OWASP CRITICAL Active exploitation · Immediate action required ▲ 9.2 Mandiant Blog

Google's Threat Intelligence Group (GTIG) has identified, for the first time, a criminal threat actor using a zero-day exploit believed to have been AI-generated, intended for mass exploitation before proactive counter-discovery intervened. The report also documents AI-augmented malware development, autonomous attack orchestration via AI-enabled malware (PROMPTSPY), and obfuscated LLM access pipelines used by adversaries to bypass usage controls. Nation-state actors from China and North Korea are actively pursuing AI-assisted vulnerability discovery, marking a significant escalation in adversarial AI capability.

Typosquatted OpenAI Repo Delivers Rust Infostealer to 244K Users

Typosquatted OpenAI Repo Delivers Rust Infostealer to 244K Users

ATLAS OWASP CRITICAL Active exploitation · Immediate action required ▲ 8.5 The Hacker News

A malicious Hugging Face repository impersonated OpenAI's legitimate Privacy Filter model, cloning its description verbatim to gain credibility and reach the platform's trending list with 244,000 downloads. The repository delivered a multi-stage attack chain culminating in a Rust-based information stealer targeting browser credentials, cryptocurrency wallets, and Discord data on Windows machines. The attack leveraged a dead-drop resolver pattern via a public JSON paste service, allowing operators to swap payloads without modifying the repository itself.

Hugging Face Supply Chain: Fake OpenAI Infostealer Hits 244K

Hugging Face Supply Chain: Fake OpenAI Infostealer Hits 244K

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.2 BleepingComputer

A malicious Hugging Face repository impersonating OpenAI's 'Privacy Filter' project reached #1 on the platform's trending list and accumulated 244,000 downloads before removal, delivering a multi-stage infostealer to Windows users. The attack chain used a disguised Python loader to execute PowerShell commands, ultimately deploying a Rust-based payload capable of harvesting browser credentials, crypto wallets, SSH/VPN configs, and screenshots. The campaign highlights the growing risk of AI/ML supply chain attacks through trusted model-sharing platforms.

Beagle Backdoor Deployed Through Fake Claude Website

Beagle Backdoor Deployed Through Fake Claude Website

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 6.5 BleepingComputer

Threat actors created a convincing fake website impersonating Anthropic's Claude AI to trick developers into downloading a trojanized installer that deploys the new 'Beagle' backdoor alongside a PlugX malware chain. The campaign specifically targets Claude-Code developers by advertising a fraudulent 'high-performance relay service,' suggesting deliberate targeting of the AI developer community. The attack leverages DLL sideloading via a legitimate signed G Data executable to evade detection while establishing persistent remote access.

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