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 3019 resultsCoder: X-Forwarded-Host spoof leaks victim app data
CVE-2026-55430 Coder: agent IP spoofing hijacks workspace traffic
CVE-2026-55428 Coder: cross-workspace agent hijack via app ID reuse
CVE-2026-55429 Coder: unbounded FileSize crashes coderd via OOM
CVE-2026-55079 Coder: SSH config injection via config-ssh enables RCE
CVE-2026-55427 Coder: user-admin can hijack owner accounts
CVE-2026-55077 Coder: OIDC auth bypass enables account takeover
CVE-2026-55075 Coder: OIDC type-confusion enables account takeover
CVE-2026-55076 Langroid: auth bypass invokes disabled tools via raw JSON
CVE-2026-54771 Langroid: prompt injection to RCE via broken eval() sandbox
CVE-2026-54769 Langroid: SQLChatAgent regex bypass exposes pg_read_file
CVE-2026-54760 vLLM: audio upload OOMs process before size check
CVE-2026-55646 OpenAI Codex: prompt injection exfils data via images
CVE-2026-14898 OP-TEE: off-by-one in SHA-3 CE overflows TEE kernel heap
CVE-2026-40257 LangSmith SDK: arbitrary file read via TracingMiddleware
CVE-2026-59152 LangGraph: weak hash in task cache risks poisoning
CVE-2026-14742 exo: weak hash algorithm in vision feature cache key
CVE-2026-14738 ONNX: OOB read in shape inference parsing untrusted models
CVE-2026-14647 fickling: shared-state bug disables ML pickle allowlist check
CVE-2026-14535 fickling: denylist gaps let malicious pickles execute
CVE-2026-14534 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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