AI Threat Alert
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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In CISA KEV
Latest AI Security Threats
Showing 20 of 3591 results CVE-2021-42060 InsydeH2O UEFI: SMM callout allows privilege escalation — 0.4% — Feb 3 UNKN CVE-2021-41837 InsydeH2O UEFI: SMM memory corruption via bad pointer — 0.3% — Feb 3 UNKN CVE-2021-41840 InsydeH2O: SMM callout enables ring -2 code execution — 0.3% — Feb 3 UNKN CVE-2022-24030 InsydeH2O UEFI: SMM memory corruption enables firmware-level PrivEsc — 0.3% — Feb 3 UNKN CVE-2021-42059 InsydeH2O: UEFI firmware stack overflow enables RCE — 0.3% — Feb 3 UNKN CVE-2021-43615 InsydeH2O UEFI: SMM memory corruption escalates to Ring -2 — 0.3% — Feb 3 UNKN CVE-2021-41841 InsydeH2O: SMM callout allows arbitrary code execution — 0.3% — Feb 3 UNKN CVE-2020-5953 InsydeH2O UEFI: SMM privilege escalation (not AI-related) — 0.3% — Feb 3 UNKN CVE-2022-24069 InsydeH2O UEFI: SMM callout enables privilege escalation — 0.3% — Feb 2 UNKN CVE-2021-43522 Insyde H2O: SMM memory corruption escalates privileges — 0.3% — Feb 2 UNKN CVE-2021-45971 InsydeH2O firmware: unchecked SMM buffer enables ring -2 exploit — 0.3% — Jan 5 UNKN CVE-2021-45969 InsydeH2O UEFI: SMM buffer flaw enables privesc — 0.3% — Jan 5 UNKN CVE-2021-45970 InsydeH2O: SMM buffer validation flaw enables priv-esc — 0.3% — Jan 5 HIGH E CVE-2021-4118 pytorch-lightning: deserialization RCE via malicious checkpoint 7.8 1.0% pytorch_lightning Dec 23 HIGH E CVE-2021-43831 Gradio: path traversal exposes host filesystem to users 7.7 3.8% gradio Dec 15 HIGH E CVE-2021-43811 Sockeye: unsafe YAML load RCE via model config file 7.8 2.4% — Dec 8 HIGH CVE-2021-41134 nbdime: stored XSS in Jupyter notebook diff viewer 8.7 0.7% — Nov 8 HIGH E CVE-2021-41228 TensorFlow: eval() in saved_model_cli allows RCE 7.8 0.2% tensorflow Nov 5 MEDI E CVE-2021-41227 TensorFlow: OOB read in ImmutableConst leaks memory 5.5 0.2% tensorflow Nov 5 HIGH E CVE-2021-41225 TensorFlow Grappler: uninitialized var, local priv-esc 7.8 0.2% tensorflow Nov 5 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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