How severe is GHSA-93vr-9q9m-pj8p?

GHSA-93vr-9q9m-pj8p has a CVSS score of 7.5/10, rated HIGH. Immediate patching is strongly recommended.

Which packages are affected by GHSA-93vr-9q9m-pj8p?

GHSA-93vr-9q9m-pj8p affects the following packages: tensorflow (PyPI), tensorflow-cpu (PyPI), tensorflow-gpu (PyPI). Ecosystems affected: PyPI.

How do I fix GHSA-93vr-9q9m-pj8p?

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.

How do I detect GHSA-93vr-9q9m-pj8p in my PyPI dependencies?

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.

How do I mitigate GHSA-93vr-9q9m-pj8p if there is no patch (or I can't update yet)?

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.

How does O3 Security protect against GHSA-93vr-9q9m-pj8p?

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.

Is GHSA-93vr-9q9m-pj8p actively exploited in the wild?

No public exploit code has been indexed for GHSA-93vr-9q9m-pj8p yet. This does not mean the vulnerability cannot be exploited — absence of public exploits does not imply safety. Apply the recommended fix and use O3 Security to monitor your exposure.

What is the EPSS score for GHSA-93vr-9q9m-pj8p?

GHSA-93vr-9q9m-pj8p has an EPSS (Exploit Prediction Scoring System) score of 0.4%, placing it in the 31th percentile of all CVEs. EPSS is maintained by FIRST.org and estimates the probability that a vulnerability will be exploited in the wild within the next 30 days. This score indicates relatively lower exploitation probability, though the CVSS severity should still guide your patching priority.

What type of vulnerability is GHSA-93vr-9q9m-pj8p?

GHSA-93vr-9q9m-pj8p is classified as Out-of-bounds Read (CWE-125). This weakness type describe the underlying flaw category, which helps determine the potential impact and the right class of mitigation.

When was GHSA-93vr-9q9m-pj8p published, and has it been updated?

GHSA-93vr-9q9m-pj8p was published on March 24, 2023 and was last updated on December 6, 2023. Advisory data evolves as severity scores, affected ranges, and exploit intelligence are revised — always check the latest version of the advisory before acting.

🐍 PyPI

GHSA-93vr-9q9m-pj8p

HIGH

TensorFlow vulnerable to Out-of-Bounds Read in DynamicStitch

Also known asBIT-tensorflow-2023-25659CVE-2023-25659

Published

Mar 24, 2023

Updated

Dec 6, 2023

Affected

3 pkgs

Patched

3 / 3

Exploits

None indexed

EPSS Exploitation Probability

via FIRST.org ↗

0.4%probability of exploitation in next 30 days

Lower Risk31th percentile+0.19%

EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.

Blast Radius

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

Ecosystem	Package	Vulnerable range	Fix
🐍PyPI	`tensorflow`	all versions	2.11.1
🐍PyPI	`tensorflow-cpu`	all versions	2.11.1
🐍PyPI	`tensorflow-gpu`	all versions	2.11.1

Detection & mitigation playbook

Open-source dependency

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.
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.
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.
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.

Scan my dependencies How O3 SCA works