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 4307 resultsn8n: plaintext credential leak via error logging
CVE-2026-85171n8n: local file read & SSRF via Gmail/Brevo nodes
CVE-2026-85170n8n: $fromAI sandbox escape enables RCE
CVE-2026-85169n8n: Git node RCE via poisoned filter/merge config
CVE-2026-85168n8n: query injection turns lookup into full DB read
CVE-2026-85167n8n: credential theft via unvalidated workflow node
CVE-2026-85166n8n: expression sandbox bypass mutates host globals
CVE-2026-85165InsydeH2O UEFI: HDD password stored in plaintext
CVE-2021-38489InsydeH2O UEFI: buffer overflow in PlatformLangCodes var
CVE-2021-43614InsydeH2O UEFI: password hashes exposed, privesc risk
CVE-2021-43613LiteLLM: param injection leaks provider API keys
CVE-2026-84377RPM: command injection via tarball name in rpmbuild
CVE-2026-84837APM Server: memory-exhaustion DoS via source maps
CVE-2026-78594Siyuan: SQLi bypasses publish visibility control
CVE-2026-59834Craft CMS: auth bypass enables admin takeover
CVE-2026-84801Filament: MFA prompt leaks valid password pre-authz check
CVE-2026-84307Kibana: missing authz leaks APM server credentials
CVE-2026-78608Filament: stale TOTP code stays valid, bypassing MFA reuse block
CVE-2026-84306SageMaker: HMAC leak allows forged pipeline code execution
CVE-2026-83551Codex CLI: git core.fsmonitor hook enables RCE
CVE-2026-19592Frequently 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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