AI Threat AlertAI 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 resultsTensorFlow: NULL deref DoS via SparseTensorSliceDataset
CVE-2022-21736TensorFlow: StringNGrams integer overflow enables OOM DoS
CVE-2022-21733TensorFlow: ThreadPoolHandle DoS via memory exhaustion
CVE-2022-21732TensorFlow: ConcatV2 type confusion enables remote DoS
CVE-2022-21731TensorFlow: OOB read leaks heap memory, enables DoS
CVE-2022-21730TensorFlow: heap OOB read in ReverseSequence op
CVE-2022-21728TensorFlow: Dequantize integer overflow, RCE risk
CVE-2022-21727TensorFlow: heap OOB read in Dequantize op allows RCE
CVE-2022-21726InsydeH2O firmware: SMM corruption via NVMe driver bug
CVE-2022-24031InsydeH2O UEFI: unchecked SMM buffer enables SMRAM access
CVE-2021-33625InsydeH2O UEFI: SMM callout enables ring -2 privesc
CVE-2021-43323InsydeH2O UEFI: SMM callout enables privilege escalation
CVE-2021-42113InsydeH2O UEFI: SMM callout flaw enables ring -2 code exec
CVE-2021-41838InsydeH2O UEFI: SMM memory corruption enables privilege escalation
CVE-2021-42554InsydeH2O UEFI: SMM privilege escalation via NVMe driver bug
CVE-2021-41839InsydeH2O UEFI: SMM buffer flaw enables ring-2 escalation
CVE-2021-33627InsydeH2O UEFI: SMM callout allows privilege escalation
CVE-2021-42060InsydeH2O UEFI: SMM memory corruption via bad pointer
CVE-2021-41837InsydeH2O: SMM callout enables ring -2 code execution
CVE-2021-41840InsydeH2O UEFI: SMM memory corruption enables firmware-level PrivEsc
CVE-2022-24030Frequently 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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