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
Critical
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Latest AI Security Threats
Showing 20 of 3023 results CVE-2026-42010 gnutls: NUL-byte username bypasses RSA-PSK auth 7.1 1.1% rhaiis/vllm-rocm-rhel9 May 7 HIGH CVE-2026-44513 diffusers: trust_remote_code bypass enables silent RCE 8.8 0.8% diffusers May 7 CRIT E CVE-2026-44007 vm2: sandbox escape via nesting:true enables RCE 9.1 1.0% vm2 May 7 HIGH GHSA-j7w6-vpvq-j3gm diffusers: silent RCE via None.py trust_remote_code bypass 8.8 — diffusers May 7 HIGH CVE-2026-44504 Aegra: cross-tenant IDOR hijacks user thread data — 0.3% aegra-api May 7 MEDI GHSA-cqmh-pcgr-q42f @axonflow/openclaw: credential exposure via insecure file permissions 5.5 — @axonflow/openclaw May 6 HIGH E CVE-2026-44334 praisonai: RCE via unpatched tool_override exec_module 8.4 0.2% praisonai May 6 HIGH E CVE-2026-44335 praisonaiagents: SSRF via URL parser confusion bypass — 0.4% praisonaiagents May 6 HIGH E CVE-2026-44244 GitPython: git config injection enables hook RCE 7.8 0.2% GitPython May 6 MEDI E CVE-2026-44223 vLLM: speculative decoding DoS via penalty params 6.5 0.4% vllm May 6 HIGH CVE-2026-42557 JupyterLab: one-click RCE via notebook HTML cell output 8.8 0.3% notebook May 6 HIGH E CVE-2026-33079 mistune: ReDoS exposes Jupyter/AI services to DoS 7.5 0.5% mistune May 6 LOW E CVE-2026-8026 Flowise: info disclosure via login API response handler 3.7 0.3% flowise May 6 MEDI E CVE-2026-44222 vLLM: token injection DoS via multimodal placeholders 6.5 0.4% vllm May 5 HIGH CVE-2026-42266 JupyterLab: Extension allow-list bypass enables privesc 8.8 0.6% jupyterlab May 5 MEDI E CVE-2026-43901 wireshark-mcp: path traversal enables arbitrary file write via MCP 6.8 0.3% — May 5 HIGH E CVE-2026-42079 PPTAgent: eval injection enables RCE via LLM prompt injection 8.6 0.1% pptagent May 5 HIGH GHSA-cwj3-vqpp-pmxr openclaw: Model bypasses authz to persist unsafe config 8.8 — openclaw May 5 HIGH GHSA-r39h-4c2p-3jxp OpenClaw: RCE via malicious repo setup-api.js 7.8 — openclaw May 5 MEDI GHSA-q8ff-7ffm-m3r9 openclaw: stale webhook secret survives credential rotation 6.0 — openclaw May 5 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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