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 1069 results — Active exploitation CVE-2020-15214 TensorFlow Lite: OOB write in segment sum, memory corruption risk 8.1 0.6% tensorflow Sep 25 MEDI E CVE-2020-15213 TensorFlow Lite: OOM DoS via crafted segment sum model 4.0 0.6% tensorflow Sep 25 HIGH E CVE-2020-15212 TensorFlow Lite: heap OOB write via segment sum op 8.6 0.6% tensorflow Sep 25 MEDI E CVE-2020-15211 TensorFlow Lite: heap OOB RW via flatbuffer tensor index 4.8 0.9% tensorflow Sep 25 MEDI E CVE-2020-15210 TensorFlow Lite: memory corruption via aliased tensors 6.5 0.7% tensorflow Sep 25 MEDI E CVE-2020-15209 TensorFlow Lite: null ptr deref crashes model inference 5.9 0.8% tensorflow Sep 25 CRIT E CVE-2020-15208 TFLite: OOB read/write via tensor dimension mismatch 9.8 0.9% tensorflow Sep 25 CRIT E CVE-2020-15207 TFLite: OOB write via unchecked negative axis index 9.0 1.2% tensorflow Sep 25 HIGH E CVE-2020-15206 TensorFlow: SavedModel protobuf DoS in inference serving 7.5 0.9% tensorflow Sep 25 CRIT E CVE-2020-15205 TensorFlow: heap overflow in StringNGrams, ASLR bypass 9.8 1.0% tensorflow Sep 25 MEDI E CVE-2020-15204 TensorFlow: null ptr deref DoS in eager mode ops 5.3 0.9% tensorflow Sep 25 HIGH E CVE-2020-15203 TensorFlow: format string DoS in strings.as_string 7.5 1.0% tensorflow Sep 25 CRIT E CVE-2020-15202 TensorFlow: Shard API int truncation enables memory corruption 9.0 1.2% tensorflow Sep 25 MEDI E CVE-2020-15201 TensorFlow: heap overflow in ragged tensor ops 4.8 0.6% tensorflow Sep 25 MEDI E CVE-2020-15200 TensorFlow: heap overflow in RaggedCountSparseOutput DoS 5.9 0.8% tensorflow Sep 25 MEDI E CVE-2020-15199 TensorFlow: DoS via malformed ragged tensor input 5.9 0.8% tensorflow Sep 25 MEDI E CVE-2020-15198 TensorFlow: heap OOB in SparseCountSparseOutput ops 5.4 0.5% tensorflow Sep 25 MEDI E CVE-2020-15197 TensorFlow: DoS via malformed sparse tensor input 6.3 0.7% tensorflow Sep 25 CRIT E CVE-2020-15196 TensorFlow: heap OOB read in sparse/ragged count ops 9.9 0.9% tensorflow Sep 25 HIGH E CVE-2020-15195 TensorFlow: heap overflow in sparse gradient op 8.8 0.9% tensorflow Sep 25 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.
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