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 1527 results — Medium severityONNX: 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: off-by-one token ID check crashes engine (DoS)
CVE-2026-115916vLLM: Phi-4 audio attention causes GPU OOM DoS
CVE-2026-115913vLLM: chat template DoS via unbounded Jinja rendering
CVE-2026-115911vLLM: zero-sum OCR image crashes engine (DoS)
CVE-2026-115914Camel OAuth: shared token cache leaks cross-profile tokens
CVE-2026-94386Apache Camel CoAP: error responses leak internal details
CVE-2026-101259vLLM: invalid stop_token_ids crash engine, GPU OOB write
CVE-2026-116181vLLM: audio decompression bomb exhausts server memory
CVE-2026-116175filelock: rename-to-rmtree deletes other users' dirs
CVE-2026-112937virtualenv: stale temp-cache symlink enables local code exec
CVE-2026-113713virtualenv: cached file modes expose seeded envs to tampering
CVE-2026-113720virtualenv: path traversal in seed cleanup deletes files
CVE-2026-113719LangGraph CLI: deploy --verbose leaks registry token in logs
CVE-2026-115885MLflow: unsafe scorer deserialization enables SSRF
CVE-2026-115886LangGraph stores: namespace label injection crosses tenants
CVE-2026-115883filelock: soft-lock inode-reuse race allows double lock
CVE-2026-112906Frequently 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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