AI Threat Alert

TensorFlow Vulnerabilities

pip ML Libraries

AI Threat Alert tracks 434 known vulnerabilities in TensorFlow, 17 rated critical — an AI/ML ml libraries in the pip ecosystem. Each CVE includes CVSS severity, EPSS exploit probability, patch status, and CISO-grade analysis.

Data sources

67

Risk Score

434

Total CVEs

17

Critical

pip

Ecosystem

Sep 25, 2025

Last CVE

4%

Patch Rate

1372d

Avg Time to Patch

196,043 stars 75,281 forks 2,636 issues 3,737 dependents Last push Jul 5, 2026

OpenSSF Scorecard 7.2/10

Known Vulnerabilities (434 total, page 17 of 18)

Severity CVE ID Summary CVSS Published

HIGH CVE-2020-15214 TensorFlow Lite: OOB write in segment sum, memory corruption risk 8.1 Sep 25, 2020 MEDIUM CVE-2020-15213 TensorFlow Lite: OOM DoS via crafted segment sum model 4.0 Sep 25, 2020 HIGH CVE-2020-15212 TensorFlow Lite: heap OOB write via segment sum op 8.6 Sep 25, 2020 MEDIUM CVE-2020-15211 TensorFlow Lite: heap OOB RW via flatbuffer tensor index 4.8 Sep 25, 2020 MEDIUM CVE-2020-15210 TensorFlow Lite: memory corruption via aliased tensors 6.5 Sep 25, 2020 MEDIUM CVE-2020-15209 TensorFlow Lite: null ptr deref crashes model inference 5.9 Sep 25, 2020 CRITICAL CVE-2020-15208 TFLite: OOB read/write via tensor dimension mismatch 9.8 Sep 25, 2020 CRITICAL CVE-2020-15207 TFLite: OOB write via unchecked negative axis index 9.0 Sep 25, 2020 HIGH CVE-2020-15206 TensorFlow: SavedModel protobuf DoS in inference serving 7.5 Sep 25, 2020 CRITICAL CVE-2020-15205 TensorFlow: heap overflow in StringNGrams, ASLR bypass 9.8 Sep 25, 2020 MEDIUM CVE-2020-15204 TensorFlow: null ptr deref DoS in eager mode ops 5.3 Sep 25, 2020 HIGH CVE-2020-15203 TensorFlow: format string DoS in strings.as_string 7.5 Sep 25, 2020 CRITICAL CVE-2020-15202 TensorFlow: Shard API int truncation enables memory corruption 9.0 Sep 25, 2020 MEDIUM CVE-2020-15201 TensorFlow: heap overflow in ragged tensor ops 4.8 Sep 25, 2020 MEDIUM CVE-2020-15200 TensorFlow: heap overflow in RaggedCountSparseOutput DoS 5.9 Sep 25, 2020 MEDIUM CVE-2020-15199 TensorFlow: DoS via malformed ragged tensor input 5.9 Sep 25, 2020 MEDIUM CVE-2020-15198 TensorFlow: heap OOB in SparseCountSparseOutput ops 5.4 Sep 25, 2020 MEDIUM CVE-2020-15197 TensorFlow: DoS via malformed sparse tensor input 6.3 Sep 25, 2020 CRITICAL CVE-2020-15196 TensorFlow: heap OOB read in sparse/ragged count ops 9.9 Sep 25, 2020 HIGH CVE-2020-15195 TensorFlow: heap overflow in sparse gradient op 8.8 Sep 25, 2020 MEDIUM CVE-2020-15194 TensorFlow: DoS via SparseFillEmptyRowsGrad assertion 5.3 Sep 25, 2020 HIGH CVE-2020-15193 TensorFlow: uninitialized memory corruption via dlpack 7.1 Sep 25, 2020 MEDIUM CVE-2020-15192 TensorFlow: memory leak in dlpack DoS via low-priv input 4.3 Sep 25, 2020 MEDIUM CVE-2020-15191 TensorFlow: null ptr deref in dlpack causes remote DoS 5.3 Sep 25, 2020 MEDIUM CVE-2020-15190 TensorFlow: null ptr deref DoS via Switch op eager runtime 5.3 Sep 25, 2020

Showing 401–425 of 434

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Frequently asked questions

What is TensorFlow?

TensorFlow is an AI/ML ml libraries tracked by AI Threat Alert for security vulnerabilities in the pip ecosystem.

How many known vulnerabilities does TensorFlow have?

TensorFlow has 434 known CVEs, 17 of them critical, tracked from NVD and GitHub Advisory.

Which ecosystem is TensorFlow distributed in?

TensorFlow is distributed via the pip ecosystem and categorized as ml libraries.

Where does the TensorFlow vulnerability data come from?

Vulnerability data is sourced from NVD and GitHub Advisory, enriched with CVSS, EPSS, exploit signals, and patch status for each CVE.

How do I assess the risk of TensorFlow?

Review each CVE below — every entry shows CVSS severity, EPSS exploit probability, exploitation signals, and whether a patched version is available.

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