# CVE-2021-37654: TensorFlow heap out-of-bounds read in ResourceGather

Source: https://junglewise.ai/threats/cve-2021-37654-tensorflow-heap-out-of-bounds-read-in-resourcegather  
Publisher: Junglewise Threat Intelligence, https://junglewise.ai/threats  
Published: 2021-08-12. Updated: 2026-09-26  
License: CC BY 4.0 with a link back

CVE-2021-37654 · Severity: low · CVSS 3.1 · Published 2021-08-12

TensorFlow is a machine learning framework used for building and training AI models. A flaw in the ResourceGather operation allows an attacker to read data outside allocated memory boundaries or trigger a crash, potentially leading to information disclosure or service disruption in applications using affected TensorFlow versions.

Technologies: [Google TensorFlow](https://junglewise.ai/threats/technologies/tensorflow), [tensorflow (PyPI)](https://junglewise.ai/threats/technologies/pypi-tensorflow), [tensorflow-cpu (PyPI)](https://junglewise.ai/threats/technologies/tensorflow-cpu), [tensorflow-gpu (PyPI)](https://junglewise.ai/threats/technologies/tensorflow-gpu). Vendors: [Google](https://junglewise.ai/threats/vendors/google), [PyPI](https://junglewise.ai/threats/vendors/pypi).

## Quick answers

**Is CVE-2021-37654 exploited in the wild?** No. Junglewise Threat Intelligence has no report of CVE-2021-37654 being exploited in the wild.

**How severe is CVE-2021-37654?** Low severity, with a CVSS score of 3.1, published 12 August 2021.

**Which products and versions are affected?** Google TensorFlow before 2.3.4; 2.4.0-2.4.2; 2.5.0; tensorflow (PyPI) GIT:introduced=0,fixed=bc9c546ce7015c57c2f15c168b3d9201de679a1d|ECOSYSTEM:introduced=2.3.0,fixed=2.3.4,introduced=2.4.0,fixed=2.4.3; tensorflow-cpu (PyPI) GIT:introduced=0,fixed=bc9c546ce7015c57c2f15c168b3d9201de679a1d|ECOSYSTEM:introduced=2.3.0,fixed=2.3.4,introduced=2.4.0,fixed=2.4.3; tensorflow-gpu (PyPI) GIT:introduced=0,fixed=bc9c546ce7015c57c2f15c168b3d9201de679a1d|ECOSYSTEM:introduced=2.3.0,fixed=2.3.4,introduced=2.4.0,fixed=2.4.3.

**Is there a fix for CVE-2021-37654?** Yes. tensorflow (PyPI): upgrade to 2.4.3 or later; tensorflow-cpu (PyPI): upgrade to 2.4.3 or later; tensorflow-gpu (PyPI): upgrade to 2.4.3 or later. Junglewise finds every place you run it, drafts the upgrade and applies it once you approve.

**How is CVE-2021-37654 attacked?** It is attacked with local access.

**Am I affected by CVE-2021-37654?** Check whether you run Google TensorFlow, tensorflow (PyPI), tensorflow-cpu (PyPI) or one of the others listed at an affected version. Junglewise does that check for you around the clock: connect your code, cloud and domains, and it matches new vulnerabilities like this one against what you actually run and tells you when one reaches you.

## How to fix

- tensorflow (PyPI): upgrade to 2.4.3 or later

  ```sh
  pip install "tensorflow>=2.4.3"
  ```

- tensorflow-cpu (PyPI): upgrade to 2.4.3 or later

  ```sh
  pip install "tensorflow-cpu>=2.4.3"
  ```

- tensorflow-gpu (PyPI): upgrade to 2.4.3 or later

  ```sh
  pip install "tensorflow-gpu>=2.4.3"
  ```


## Technical details

The vulnerability is a heap out-of-bounds (OOB) read in the ResourceGather operation caused by missing validation of the batch_dims parameter against the input tensor rank. The vulnerable code uses batch_dims to iterate over tensor dimensions without checking that batch_dims ≤ tensor.dims(), causing reads beyond valid heap memory. In debug builds, a DCHECK catches the out-of-bounds access; in release builds, the DCHECK becomes a no-op, allowing the OOB read to proceed. The attack requires calling tf.raw_ops.ResourceGather with a batch_dims value exceeding the input tensor's rank. Patches are available in TensorFlow 2.3.4, 2.4.3, 2.5.1, and 2.6.0.

## Affected products

- Google TensorFlow before 2.3.4; 2.4.0-2.4.2; 2.5.0
- Google TensorFlow CPU before 2.3.4; 2.4.0-2.4.2; 2.5.0
- Google TensorFlow GPU before 2.3.4; 2.4.0-2.4.2; 2.5.0

## Identifiers

- CVE-2021-37654
- GHSA-2r8p-fg3c-wcj4
- PYSEC-2021-276
- PYSEC-2021-567
- PYSEC-2021-765

## Timeline

- 2021-08-11: disclosed
- 2021-08-25: patched: TensorFlow 2.3.4, 2.4.3, 2.5.1, and 2.6.0 released with fix

## References

- [https://github.com/tensorflow/tensorflow/security/advisories/GHSA-2r8p-fg3c-wcj4](https://github.com/tensorflow/tensorflow/security/advisories/GHSA-2r8p-fg3c-wcj4)

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