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 1431 results — has patchStrands Agents: world-readable session files in /tmp
GHSA-763v-5pjm-fx36LiteLLM: file read via vertex_ai_credentials alias
GHSA-g5ff-637f-6q2mLiteLLM: reflected XSS in SSO debug callback
GHSA-hhww-mrg2-969hSiYuan: MCP file tool leaks publish-share passwords
CVE-2026-60083MONAI: NaN/inf DICOM input causes DoS and corrupt inference
CVE-2026-48705Rembg: unauthenticated path traversal leaks files
CVE-2026-115924ONNX: unbounded alloc in 2/4-bit unpack causes DoS
CVE-2026-115922ONNX: null deref/oversized alloc in Scan inference DoS
CVE-2026-115921ONNX: ConvTranspose shape inference crash causes DoS
CVE-2026-115920ONNX: OOB read in RNN shape inference crashes app
CVE-2026-115919vLLM: chat template bypass enables DoS via /v1/responses
CVE-2026-115918vLLM: wildcard CORS lets web pages reach local servers
CVE-2026-115917vLLM: off-by-one token ID check crashes engine (DoS)
CVE-2026-115916vLLM: Phi-4 audio attention causes GPU OOM DoS
CVE-2026-115913vLLM: pickle deserialization RCE via multimodal cache
CVE-2026-115912vLLM: chat template DoS via unbounded Jinja rendering
CVE-2026-115911vLLM: image decoder abuse enables RCE/DoS
CVE-2026-115915vLLM: zero-sum OCR image crashes engine (DoS)
CVE-2026-115914filelock: rename-to-rmtree deletes other users' dirs
CVE-2026-112937filelock: Windows side-file planting breaks ReadWriteLock
CVE-2026-112913Frequently 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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