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HIGH severity

GHSA-93vr-9q9m-pj8p

HIGHFix: tensorflow/tensorflow@ee004b1

GHSA-93vr-9q9m-pj8p is a high-severity (CVSS 7.5) Out-of-bounds Read vulnerability in tensorflow. O3 Security confirms whether GHSA-93vr-9q9m-pj8p is actually reachable in your code before you act, and blocks exploitation at runtime until you patch.

TensorFlow vulnerable to Out-of-Bounds Read in DynamicStitch

Also known asBIT-tensorflow-2023-25659CVE-2023-25659PYSEC-2026-1959PYSEC-2026-3142PYSEC-2026-3300
Published
Mar 24, 2023
Updated
Jul 13, 2026
Affected
3 pkgs
Patched
3 / 3
Exploits
None indexed
Exploitation data as of Jul 13, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

Real-World Exposure

3 pkgs affected
🐍tensorflow🐍tensorflow-cpu🐍tensorflow-gpu

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

Impact

If the parameter indices for DynamicStitch does not match the shape of the parameter data, it can trigger an stack OOB read.

import tensorflow as tf
func = tf.raw_ops.DynamicStitch
para={'indices': [[0xdeadbeef], [405], [519], [758], [1015]], 'data': [[110.27793884277344], [120.29475402832031], [157.2418212890625], [157.2626953125], [188.45382690429688]]}
y = func(**para)

Patches

We have patched the issue in GitHub commit ee004b18b976eeb5a758020af8880236cd707d05.

The fix will be included in TensorFlow 2.12. We will also cherrypick this commit on TensorFlow 2.11.1.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This has been reported via Google OSS VRP.

Affected Packages

3 total 3 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPItensorflowall versions2.11.1
🐍PyPItensorflow-cpuall versions2.11.1
🐍PyPItensorflow-gpuall versions2.11.1

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 2.11.1 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-93vr-9q9m-pj8p 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 GHSA-93vr-9q9m-pj8p 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 GHSA-93vr-9q9m-pj8p. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

Frequently Asked Questions

### Impact If the parameter `indices` for `DynamicStitch` does not match the shape of the parameter `data`, it can trigger an stack OOB read. ```python import tensorflow as tf func = tf.raw_ops.DynamicStitch para={'indices': [[0xdeadbeef], [405], [519], [758], [1015]], 'data': [[110.27793884277344], [120.29475402832031], [157.2418212890625], [157.2626953125], [188.45382690429688]]} y = func(**para) ``` ### Patches We have patched the issue in GitHub commit [ee004b18b976eeb5a758020af8880236cd707d05](https://github.com/tensorflow/tensorflow/commit/ee004b18b976eeb5a758020af8880236cd707d05). Th
O3 Security · Impact-Aware SCA

Is GHSA-93vr-9q9m-pj8p in your dependencies?

O3 detects GHSA-93vr-9q9m-pj8p across PyPI dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.

GHSA-93vr-9q9m-pj8p: tensorflow (High 7.5) | O3 Security