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 1661 results — Active exploitationMLflow: missing authz check leaks private artifacts
CVE-2026-69148 MLflow: missing authZ lets users forge dataset lineage
CVE-2026-69146 MLflow: unauth SSRF via webhook hits cloud metadata
CVE-2026-64849 Transformers: path traversal via checkpoint shards
CVE-2026-75104 vLLM: SSRF/LFI bypass in MiMo-V2 multimodal input
CVE-2026-73560 Budibase: SSRF in automations reaches cloud metadata
CVE-2026-35219 SiYuan: unthrottled brute-force exposes published notes
CVE-2026-74868 Edimax EW-7478APC: command injection via rootAPmac
CVE-2026-19960 SiYuan: brute-force bypass of notebook publish passwords
CVE-2026-73045 vLLM: integer overflow leaks other users' output
CVE-2026-73558 vLLM: ReDoS in structured output stalls engine
CVE-2026-73556 SiYuan: missing authz exposes filtered DB rows
CVE-2026-73608 Flowise: unauth TTS endpoint drains stored API keys
CVE-2026-73603 Flowise: RCE via Custom MCP node env var injection
CVE-2026-73601 Flowise: IDOR exposes cross-tenant billing/PII data
CVE-2026-73488 Flowise: Python sandbox bypass enables unauth RCE
CVE-2026-73487 Flowise: CSV Agent code injection enables RCE
CVE-2026-73486 Flowise: Pandas sandbox bypass leaks files, writes to disk
CVE-2026-73484 Flowise: sandbox escape via puppeteer.launch() to RCE
CVE-2026-73483 SiYuan: authZ gap leaks private PDF annotations
CVE-2026-72808 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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