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 544 results — Medium severity, has patchn8n: GraphQL node bypasses domain allowlist, leaks creds
CVE-2026-65596n8n: authz bypass hijacks other users' MCP workflows
CVE-2026-65594n8n: SSRF bypass in dynamic-node-parameters endpoint
CVE-2026-65593n8n computer-use: unsandboxed shell on Linux/Windows
CVE-2026-65590n8n: plaintext credential leak in LLM node logs
CVE-2026-65589n8n: unauth DELETE cancels test webhook sessions
CVE-2026-65014Gitea: LFS deploy-key flaw leaks private repo objects
CVE-2026-58435ViewComponent: stale context leaks admin UI cross-user
CVE-2026-54497FiftyOne: wildcard CORS enables local file exfiltration
CVE-2026-53656n8n: permission bypass exposes external secrets
CVE-2026-59259n8n: authz bypass leaks external secrets
CVE-2026-59254n8n-mcp: cross-tenant leak of workflow backups
CVE-2026-55608PraisonAI: path traversal leaks files into LLM prompts
CVE-2026-60088Log4j API: NaN/Infinity breaks JSON log serialization
CVE-2026-49844mcp-atlassian: DNS-rebind bypass revives header SSRF
GHSA-489g-7rxv-6c8qPraisonAI: FastContext path traversal leaks host files
CVE-2026-61432PraisonAI: path traversal leaks arbitrary files
CVE-2026-61431PraisonAI: config.toml path traversal overwrites files
CVE-2026-60089PraisonAI: injection filter bypass at HIGH threat level
CVE-2026-60086n8n: disk exhaustion via data-table upload quota gap
CVE-2026-58661Frequently 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?
Get ATLAS technique mappings, compliance reports (ISO 42001, EU AI Act), breaking alerts, and full CISO analysis with a Pro subscription.
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