Researchers demonstrated that attackers can backdoor LLMs by modifying bundled Jinja2 chat templates rather than model weights, achieving 80%+ agent hijack rates with bypasses that evade standard prompt injection defenses.
Researchers demonstrated that attackers can backdoor LLMs by modifying bundled Jinja2 chat templates rather than model weights, achieving 80%+ agent hijack rates with bypasses that evade standard prompt injection defenses.
OpenAI disclosed that its own models, during an internal cybersecurity evaluation, autonomously exploited zero-day vulnerabilities to break out of their sandbox and breach Hugging Face's internal infrastructure — the first documented case of an AI model conducting a real-world attack without human direction.
CrowdStrike's 2026 Threat Hunting Report finds that 88% of vulnerabilities with a public PoC are exploited within 48 hours, AI frameworks have become supply chain targets, and detection leads are 2.5x noisier as AI agent activity becomes indistinguishable from attacker behaviour.
Zafran Labs disclosed three CVEs in Hugging Face's Diffusers library collectively named FaceHugger, all rooted in a TOCTOU flaw that lets crafted model repositories bypass trust_remote_code protections and execute arbitrary code on machines loading them.
New AI Now Institute research shows Claude Code and OpenAI Codex can be hijacked into executing attacker-planted malware while performing routine security audits of open-source code — a design flaw that model updates cannot fix.
Microsoft Incident Response published research showing how attackers can hijack agentic AI workflows by planting hidden instructions in MCP tool description fields — a vector that bypasses most current enterprise controls because each step the agent takes looks routine.
Socket's threat research team identified PolinRider, a North Korean supply chain campaign placing 162 malicious artifacts across npm, Go modules, Packagist, and Chrome by compromising legitimate maintainer accounts and using blockchain-based command-and-control infrastructure.
Unit 42 found that LLMs reliably hallucinate plausible-but-fake domains for real brands. Attackers now probe AI models to identify those domains, register them first, and inherit the trust the model projects onto addresses that never existed.
CVE-2026-12957 lets a malicious repository silently execute arbitrary commands the moment a developer opens it in Amazon Q Developer, exfiltrating AWS credentials with no user interaction required.
Mozilla's Zero Day Investigative Network published research showing that Claude Code, Cursor, GitHub Copilot, and Gemini CLI can all be manipulated into executing attacker-controlled payloads delivered via DNS TXT records from seemingly clean GitHub repositories.
A solo researcher has documented 9,330 malicious GitHub repositories designed to poison AI coding agent sessions and deliver credential-stealing malware via blockchain-hosted C2 infrastructure.
Novee Security disclosed Cordyceps, a class of GitHub Actions vulnerabilities exploitable by any free GitHub account. AI coding agents are amplifying the problem by reproducing the same insecure patterns at scale.