Vulnerability · Published May 20, 2022 · Assigned by GitHub_M
CVE-2022-29205Segfault due to missing support for quantized types in TensorFlow
Medium 5.5
In plain English
A medium-severity null pointer dereference in tensorflow from tensorflow. Proof-of-concept exploit code is public. The chance it is exploited in the next 30 days is estimated at 0.3% (higher than 26% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.
Official description
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, there is a potential for segfault / denial of service in TensorFlow by calling `tf.compat.v1.*` ops which don't yet have support for quantized types, which was added after migration to TensorFlow 2.x. In these scenarios, since the kernel is missing, a `nullptr` value is passed to `ParseDimensionValue` for the `py_value` argument. Then, this is dereferenced, resulting in segfault. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
Affected packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | tensorflow | 2.6.4, 2.7.2, 2.8.1 | PYSEC-2026-3104 |
| PyPI | tensorflow | 2.6.4 | GHSA-54ch-gjq5-4976 |
| PyPI | tensorflow | 2.7.2 | GHSA-54ch-gjq5-4976 |
| PyPI | tensorflow | 2.8.1 | GHSA-54ch-gjq5-4976 |
| PyPI | tensorflow-cpu | 2.7.2 | GHSA-54ch-gjq5-4976 |
| PyPI | tensorflow-cpu | 2.6.4, 2.7.2, 2.8.1 | PYSEC-2026-3274 |
| PyPI | tensorflow-cpu | 2.6.4 | GHSA-54ch-gjq5-4976 |
| PyPI | tensorflow-cpu | 2.8.1 | GHSA-54ch-gjq5-4976 |
| PyPI | tensorflow-gpu | 2.6.4, 2.7.2, 2.8.1 | PYSEC-2026-950 |
| PyPI | tensorflow-gpu | 2.6.4 | GHSA-54ch-gjq5-4976 |
| PyPI | tensorflow-gpu | 2.7.2 | GHSA-54ch-gjq5-4976 |
| PyPI | tensorflow-gpu | 2.8.1 | GHSA-54ch-gjq5-4976 |
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| tensorflow | tensorflow | < 2.6.4>= 2.7.0rc0, < 2.7.2>= 2.8.0rc0, < 2.8.1>= 2.9.0rc0, < 2.9.0 |
Weakness: CWE-908, CWE-476 · Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
References
- https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4 x_refsource_MISC
- https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2 x_refsource_MISC
- https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1 x_refsource_MISC
- https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0 x_refsource_MISC
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-54ch-gjq5-4976 x_refsource_CONFIRM
- https://github.com/tensorflow/tensorflow/commit/237822b59fc504dda2c564787f5d3ad9c4aa62d9 x_refsource_MISC
- https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/python/eager/pywrap_tfe_src.cc#L296-L320 x_refsource_MISC
- https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/python/eager/pywrap_tfe_src.cc#L480-L482 x_refsource_MISC