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: Playwright SSRF leaks cloud metadata
CVE-2026-70479Flowise: missing workspace auth in OAuth2 credential routes
CVE-2026-70474Flowise: broken auth exposes cross-tenant OpenAI keys
CVE-2026-70472Flowise: S3 loader path traversal enables file write
GHSA-88pr-878c-24wfFlowise: broken authz allows cross-type flow deletion
CVE-2026-69262Flowise: unauth overrideConfig injects flow session state
CVE-2026-69258cryptography: exponential DoS in cert chain validation
CVE-2026-69249transformers: path traversal in save_pretrained() writes files
CVE-2026-9856Pterodactyl Wings: SFTP handshake DoS via Go panic
CVE-2026-52856Dynatrace MCP server: unauth HTTP data exfil via DQL
GHSA-p7w7-4929-vpj5Google mcp-toolbox: BigQuery allowedDatasets bypass
CVE-2026-14538MeshCentral: origin-check bypass lets attackers hijack admin sessions
CVE-2026-66420Langflow: IDOR exposes/poisons cross-tenant RAG vectors
CVE-2026-13444Langflow: IDOR exposes/manipulates other users' builds
CVE-2026-12945Langflow: path traversal exposes arbitrary server files
CVE-2026-12942FTC E-Commerce Panel: authentication bypass
CVE-2026-12722pgvector: integer wraparound in index build enables RCE
CVE-2026-18022Flyto2 Core: SSRF via unvalidated URLs in agent tools
CVE-2026-67428Flyto2 Core: SSRF leaks LLM API keys via base_url
CVE-2026-67425Quarkus: HTTP auth bypass via %3B/%2F path smuggling
CVE-2026-50559Frequently 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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