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 1908 results — High severityOpen WebUI: stored XSS via DOCX preview enables admin takeover
CVE-2026-109290Open WebUI: session token theft via SyncStatsModal
CVE-2026-109286Ollama: SSRF via model name validation in Pull API
CVE-2026-108836Amnezia-Web-Panel: default credentials in backup download
CVE-2026-108783LobsterAI: skill _meta.json path abuse deletes home dir
CVE-2026-108156Guava: unbounded deserialization allocation causes DoS
CVE-2026-102554Apache CXF: XML signature wrapping bypass in JAX-RS
CVE-2026-100227Coraza WAF: stack overflow DoS via JSON body
GHSA-6gcq-wc29-5xf2Pydantic AI: stream slot leak enables remote DoS
CVE-2026-107286Cyrus SASL: DIGEST-MD5 heap overflow crashes RHOAI clients
CVE-2026-107161Claude Code: TOCTOU symlink race allows out-of-sandbox write
CVE-2026-103435Langflow: access control flaw in vertex cache leaks data
CVE-2026-97680Langflow: authenticated code injection allows RCE
CVE-2026-97679Langflow: authenticated RCE via improper input validation
CVE-2026-97678Langflow: sandbox escape allows authenticated RCE
CVE-2026-97676Langflow: code injection allows authenticated OS command execution
CVE-2026-97674Langflow: input validation flaw allows authenticated RCE
CVE-2026-97673Langflow: incomplete blocklist enables authenticated RCE
CVE-2026-97655Langflow: improper authorization exposes sensitive data
CVE-2026-93678Langflow: code injection allows authenticated RCE
CVE-2026-93449Frequently 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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