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 2876 results — no patchTensorFlow Lite: heap OOB write via segment sum op
CVE-2020-15212TensorFlow Lite: heap OOB RW via flatbuffer tensor index
CVE-2020-15211TensorFlow Lite: memory corruption via aliased tensors
CVE-2020-15210TensorFlow Lite: null ptr deref crashes model inference
CVE-2020-15209TFLite: OOB read/write via tensor dimension mismatch
CVE-2020-15208TFLite: OOB write via unchecked negative axis index
CVE-2020-15207TensorFlow: SavedModel protobuf DoS in inference serving
CVE-2020-15206TensorFlow: heap overflow in StringNGrams, ASLR bypass
CVE-2020-15205TensorFlow: null ptr deref DoS in eager mode ops
CVE-2020-15204TensorFlow: format string DoS in strings.as_string
CVE-2020-15203TensorFlow: Shard API int truncation enables memory corruption
CVE-2020-15202TensorFlow: heap overflow in ragged tensor ops
CVE-2020-15201TensorFlow: heap overflow in RaggedCountSparseOutput DoS
CVE-2020-15200TensorFlow: DoS via malformed ragged tensor input
CVE-2020-15199TensorFlow: heap OOB in SparseCountSparseOutput ops
CVE-2020-15198TensorFlow: DoS via malformed sparse tensor input
CVE-2020-15197TensorFlow: heap OOB read in sparse/ragged count ops
CVE-2020-15196TensorFlow: heap overflow in sparse gradient op
CVE-2020-15195TensorFlow: DoS via SparseFillEmptyRowsGrad assertion
CVE-2020-15194TensorFlow: uninitialized memory corruption via dlpack
CVE-2020-15193Frequently 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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