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 1346 results — Active exploitation, no patchTensorFlow: tf.reshape DoS via integer overflow
CVE-2022-35934TensorFlow CLI: eval() injection enables reverse shell
CVE-2022-29216TensorFlow: input validation DoS in FFT signal ops
CVE-2022-29213TensorFlow Lite: quantization assert crash (DoS)
CVE-2022-29212TensorFlow: NaN input crashes histogram op (CPU DoS)
CVE-2022-29211TensorFlow: CHECK macro type confusion causes DoS
CVE-2022-29209TensorFlow: OOB write in EditDistance enables local DoS
CVE-2022-29208TensorFlow: SparseTensorDenseAdd null ptr deref DoS
CVE-2022-29206TensorFlow: NULL deref DoS via compat.v1 ops
CVE-2022-29205TensorFlow: DoS via UnsortedSegmentJoin input validation
CVE-2022-29204TensorFlow: DoS via SpaceToBatchND integer overflow
CVE-2022-29203TensorFlow: DoS via ragged tensor memory exhaustion
CVE-2022-29202TensorFlow: QuantizedConv2D null deref crashes model server
CVE-2022-29201TensorFlow: null-ptr deref in eager mode causes DoS
CVE-2022-29207TensorFlow: LSTMBlockCell DoS via invalid tensor rank
CVE-2022-29200TensorFlow: CHECK-fail DoS in LoadAndRemapMatrix op
CVE-2022-29199TensorFlow: DoS via sparse tensor input validation failure
CVE-2022-29198TensorFlow: DoS via UnsortedSegmentJoin input validation
CVE-2022-29197TensorFlow: DoS via invalid Conv3D filter input
CVE-2022-29196TensorFlow: StagePeek DoS via unvalidated index scalar
CVE-2022-29195Frequently 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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