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 3035 resultsAjenti: missing authz lets any user install packages
CVE-2026-35175 OpenClaw: SSRF in marketplace fetch hits internal AI infra
GHSA-9q7v-8mr7-g23p vLLM: audio downmix mismatch enables adversarial input
CVE-2026-34760 onnx: TOCTOU symlink following enables arbitrary file write
GHSA-q56x-g2fj-4rj6 praisonaiagents: SSRF leaks cloud IAM credentials
CVE-2026-34954 PraisonAI: sandbox escape via shell=True blocklist bypass
CVE-2026-34955 PraisonAI: SSRF via api_base steals cloud IAM credentials
CVE-2026-34936 PraisonAI: OS command injection via run_python() shell escape
CVE-2026-34937 praisonaiagents: sandbox bypass enables full host RCE
CVE-2026-34938 Open WebUI: access control bypass leaks Tool Valve API keys
CVE-2026-34222 ONNX: symlink traversal reads host files via model loading
CVE-2026-34447 ONNX: hardlink path traversal leaks sensitive files
CVE-2026-34446 ONNX: property overwrite via crafted model file
CVE-2026-34445 ONNX: symlink path traversal allows arbitrary file read
CVE-2026-27489 Anthropic SDK: TOCTOU symlink escape in async memory tool
CVE-2026-34452 anthropic-ai/sdk: memory tool path traversal escape
CVE-2026-34451 anthropic-sdk: insecure file perms expose agent memory
CVE-2026-34450 Claude Setup: DLL search-order hijacking LPE
CVE-2026-22561 MLflow: command injection via model_uri in mlserver mode
CVE-2026-0596 OpenClaw: SSRF in fal provider exposes internal services
CVE-2026-34504 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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