AI Security Threat Feed
Latest CVEs affecting AI/ML systems — LLM frameworks, ML libraries, AI agents, vector databases, and inference servers. Vulnerabilities are tracked from NVD, GitHub Advisory, CISA KEV, MITRE ATLAS, and enriched with CVSS, EPSS, exploitation confidence, AI-component classification, and compliance mappings to ISO 42001, EU AI Act, NIST AI RMF, and OWASP LLM Top 10. Updated continuously as new CVEs are published.
- CVSS severity
- EPSS exploit probability
- Exploitation confidence
- AI-component classification
- Compliance mappings
AI/ML CVEs Tracked
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Latest AI Security Threats
Showing 20 of 1069 results — Active exploitationvm2: sandbox escape via nesting:true enables RCE
CVE-2026-44007 praisonaiagents: SSRF via URL parser confusion bypass
CVE-2026-44335 GitPython: git config injection enables hook RCE
CVE-2026-44244 vLLM: speculative decoding DoS via penalty params
CVE-2026-44223 mistune: ReDoS exposes Jupyter/AI services to DoS
CVE-2026-33079 Flowise: info disclosure via login API response handler
CVE-2026-8026 wireshark-mcp: path traversal enables arbitrary file write via MCP
CVE-2026-43901 PPTAgent: eval injection enables RCE via LLM prompt injection
CVE-2026-42079 Langflow: path traversal allows arbitrary directory deletion
CVE-2026-42048 LobeChat: XSS-to-RCE via exposed Electron IPC
CVE-2026-42045 Langchain-Chatchat: predictable file IDs leak uploaded files
CVE-2026-7847 Jupyter Server: path traversal leaks sibling directories
CVE-2026-35397 jupyter-server: Open redirect enables credential phishing
CVE-2025-61669 Langchain-Chatchat: TOCTOU race allows silent file overwrite
CVE-2026-7846 Langchain-Chatchat: weak image hash allows integrity bypass
CVE-2026-7845 Langchain-Chatchat: auth bypass on file service endpoints
CVE-2026-7844 SGLang: deserialization in tokenizer loader enables RCE
CVE-2026-7669 marked: infinite recursion DoS crashes Node.js via OOM
CVE-2026-41680 vllm: uninitialized KV cache memory leaks inference data
CVE-2026-7141 Ollama: path traversal in tensor model transfer handler
CVE-2026-7020 Frequently asked questions
What is an AI security threat feed?
An AI security threat feed is a continuously updated stream of vulnerabilities (CVEs) affecting AI and machine-learning systems — LLM frameworks, ML libraries, AI agents, vector databases, and inference servers — filtered out of the broader CVE firehose and enriched for relevance.
Which sources are the AI CVEs tracked from?
CVEs are tracked from NVD, GitHub Advisory, CISA KEV, and MITRE ATLAS, then enriched with CVSS, EPSS, exploitation confidence, AI-component classification, and compliance mappings.
What AI systems do these vulnerabilities affect?
Coverage spans LLM frameworks, ML libraries, AI agents, vector databases, and inference servers — the components most security teams now run in production.
How often is the AI threat feed updated?
The feed updates continuously as new CVEs are published and enriched, so the most recent AI/ML vulnerabilities appear at the top.
Is the AI security feed free?
Yes — the public feed is free to browse. A Pro subscription adds breaking alerts, MITRE ATLAS mappings, compliance reports (ISO 42001, EU AI Act), and full CISO analysis.
Need deeper analysis?
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