AI Threat Alert

TensorFlow Vulnerabilities

pip ML Libraries

AI Threat Alert tracks 438 known vulnerabilities in TensorFlow, 18 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

438

Total CVEs

18

Critical

pip

Ecosystem

Aug 10, 2026

Last CVE

4%

Patch Rate

1372d

Avg Time to Patch

200,483 stars 77,655 forks 3,351 issues 3,410 dependents Last push Sep 27, 2026

OpenSSF Scorecard 7.5/10

Known Vulnerabilities (438 total, page 7 of 18)

Severity CVE ID Summary CVSS Published

MEDIUM CVE-2022-23584 TensorFlow: use-after-free in PNG decode causes DoS 6.5 Feb 4, 2022 MEDIUM CVE-2022-23583 TensorFlow: SavedModel type confusion triggers DoS crash 6.5 Feb 4, 2022 MEDIUM CVE-2022-23582 TensorFlow: SavedModel CHECK-fail causes DoS 6.5 Feb 4, 2022 MEDIUM CVE-2022-23581 TensorFlow: DoS via Grappler optimizer CHECK failure 6.5 Feb 4, 2022 MEDIUM CVE-2022-23580 TensorFlow: uncontrolled allocation DoS in shape inference 6.5 Feb 4, 2022 MEDIUM CVE-2022-23579 TensorFlow: DoS via Grappler optimizer CHECK failure 6.5 Feb 4, 2022 MEDIUM CVE-2022-23578 TensorFlow: memory leak via invalid graph node 4.3 Feb 4, 2022 MEDIUM CVE-2022-23577 TensorFlow: null pointer deref crashes model loader 6.5 Feb 4, 2022 MEDIUM CVE-2022-23576 TensorFlow: integer overflow in cost estimator causes DoS 6.5 Feb 4, 2022 MEDIUM CVE-2022-23575 TensorFlow: integer overflow in cost estimator → DoS 6.5 Feb 4, 2022 HIGH CVE-2022-23574 TensorFlow: heap OOB read/write enables network RCE 8.8 Feb 4, 2022 HIGH CVE-2022-23573 TensorFlow: uninitialized memory in AssignOp 8.8 Feb 4, 2022 MEDIUM CVE-2022-23572 TensorFlow: DoS via shape inference assertion failure 6.5 Feb 4, 2022 MEDIUM CVE-2022-23571 TensorFlow: protobuf assertion DoS via invalid tensor dtype 6.5 Feb 4, 2022 MEDIUM CVE-2022-23570 TensorFlow: null-deref DoS via malformed protobuf tensor 6.5 Feb 4, 2022 HIGH CVE-2022-23566 TensorFlow: heap OOB write in Grappler, RCE risk 8.8 Feb 4, 2022 MEDIUM CVE-2022-23565 TensorFlow: DoS via malicious SavedModel AttrDef duplication 6.5 Feb 4, 2022 MEDIUM CVE-2022-23564 TensorFlow: DoS via reachable assertion in protobuf decode 6.5 Feb 4, 2022 MEDIUM CVE-2022-23563 TensorFlow: TOC/TOU race allows temp file hijacking 6.3 Feb 4, 2022 HIGH CVE-2022-23562 TensorFlow: Range integer overflow, RCE/DoS risk 8.8 Feb 4, 2022 HIGH CVE-2022-23561 TensorFlow Lite: OOB write, arbitrary write primitive 8.8 Feb 4, 2022 HIGH CVE-2022-23560 TFLite: OOB read/write in sparse tensor → RCE 8.8 Feb 4, 2022 HIGH CVE-2022-23559 TFLite: integer overflow in embedding lookup → heap OOB RW 8.8 Feb 4, 2022 HIGH CVE-2022-23558 TFLite: integer overflow in model loading, RCE risk 8.8 Feb 4, 2022 MEDIUM CVE-2022-23557 TensorFlow TFLite: DoS via divide-by-zero in BiasAndClamp 6.5 Feb 4, 2022

Showing 151–175 of 438

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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 438 known CVEs, 18 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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