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MEDIUM severity

CVE-2022-21735

MEDIUMFix: tensorflow/tensorflow@ba4e8ac

CVE-2022-21735 is a medium-severity (CVSS 6.5) CWE-369 vulnerability in tensorflow. 1 public exploit reference exists, so weaponization risk is real. O3 Security confirms whether CVE-2022-21735 is actually reachable in your code before you act, and blocks exploitation at runtime until you patch.

Division by zero in Tensorflow

Also known asBIT-tensorflow-2022-21735GHSA-87v6-crgm-2gfjPYSEC-2022-114PYSEC-2022-59PYSEC-2026-3134
Published
Feb 3, 2022
Updated
Aug 12, 2026
Affected
9 pkgs
Patched
9 / 9
Exploits
1 known
Exploitation data as of Aug 12, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

Real-World Exposure

9 pkgs affected
🐍tensorflow🐍tensorflow🐍tensorflow🐍tensorflow-cpu🐍tensorflow-cpu🐍tensorflow-cpu🐍tensorflow-gpu🐍tensorflow-gpu+1 more

Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.

Description

Tensorflow is an Open Source Machine Learning Framework. The implementation of FractionalMaxPool can be made to crash a TensorFlow process via a division by 0. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Affected Packages

9 total 9 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPItensorflowall versions2.5.3
🐍PyPItensorflow2.6.0&&< 2.6.32.6.3
🐍PyPItensorflow2.7.0&&< 2.7.12.7.1
🐍PyPItensorflow-cpuall versions2.5.3
🐍PyPItensorflow-cpu2.6.0&&< 2.6.32.6.3
🐍PyPItensorflow-cpu2.7.0&&< 2.7.12.7.1
Exploits & PoCs
1

Research use only. For defensive security, authorized penetration testing, and academic research only. Never execute exploit code against systems without explicit written authorization.

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for tensorflow. O3's reachability analysis confirms whether the vulnerable code path is actually invoked in your application, so you act on real exposure instead of every transitive match.

  2. Fix

    Update tensorflow to 2.5.3 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2022-21735 is resolved across your whole dependency graph.

  3. Workarounds

    If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.

  4. How O3 protects you

    O3 pinpoints whether CVE-2022-21735 is reachable in your code and exactly where to fix it, then blocks exploitation in production at runtime until the patched version is deployed.

Tailored to CVE-2022-21735. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

Frequently Asked Questions

Tensorflow is an Open Source Machine Learning Framework. The implementation of `FractionalMaxPool` can be made to crash a TensorFlow process via a division by 0. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
O3 Security · Impact-Aware SCA

Is CVE-2022-21735 in your dependencies?

O3 detects CVE-2022-21735 across PyPI dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.

CVE-2022-21735: Division by zero in… | O3 Security