AI Threat AlertAI 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
Critical
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In CISA KEV
Latest AI Security Threats
Showing 20 of 4307 resultsCVE-2026-116608VideoLLaMA2: unverified model integrity on load5.40.1%VideoLLaMA2Oct 27UNKNCVE-2026-116589dd-trace-py: IAST % formatting error crashes process—0.3%—Oct 26UNKNCVE-2026-116588dd-trace-py: ReDoS in query-string obfuscation causes DoS—0.5%—Oct 26CRITCVE-2026-116506TOTOLINK A950RG: command injection in firewall.so apmib_set9.91.9%—Oct 26HIGHECVE-2026-115924Rembg: unauthenticated path traversal leaks files8.60.4%rembgOct 26MEDICVE-2026-115922ONNX: unbounded alloc in 2/4-bit unpack causes DoS6.20.1%onnxOct 26MEDICVE-2026-115921ONNX: null deref/oversized alloc in Scan inference DoS6.20.1%onnxOct 26MEDICVE-2026-115920ONNX: ConvTranspose shape inference crash causes DoS6.20.2%onnxOct 26MEDICVE-2026-115919ONNX: OOB read in RNN shape inference crashes app6.20.2%onnxOct 26MEDICVE-2026-115918vLLM: chat template bypass enables DoS via /v1/responses6.50.4%vllmOct 26LOWCVE-2026-115917vLLM: wildcard CORS lets web pages reach local servers3.40.2%vllmOct 26MEDICVE-2026-115916vLLM: off-by-one token ID check crashes engine (DoS)6.50.3%vllmOct 26MEDICVE-2026-115913vLLM: Phi-4 audio attention causes GPU OOM DoS6.50.3%vllmOct 26HIGHCVE-2026-115912vLLM: pickle deserialization RCE via multimodal cache7.50.5%vllmOct 26MEDICVE-2026-115911vLLM: chat template DoS via unbounded Jinja rendering6.50.3%vllmOct 26HIGHCVE-2026-115915vLLM: image decoder abuse enables RCE/DoS8.10.7%vllmOct 26MEDICVE-2026-115914vLLM: zero-sum OCR image crashes engine (DoS)6.50.4%vllmOct 26HIGHCVE-2026-116489pgvectorscale: type confusion enables memory corruption7.50.5%—Oct 26LOWCVE-2026-77057boneIO Black: no brute-force limits on web/SSH login—0.3%—Oct 26MEDICVE-2026-94386Camel OAuth: shared token cache leaks cross-profile tokens4.80.3%—Oct 26Frequently 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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