CVE-2021-37682
Description
TensorFlow is an end-to-end open source platform for machine learning. In affected versions all TFLite operations that use quantization can be made to use unitialized values. [For example](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/depthwise_conv.cc#L198-L200). The issue stems from the fact that `quantization.params` is only valid if `quantization.type` is different that `kTfLiteNoQuantization`. However, these checks are missing in large parts of the code. We have patched the issue in GitHub commits 537bc7c723439b9194a358f64d871dd326c18887, 4a91f2069f7145aab6ba2d8cfe41be8a110c18a5 and 8933b8a21280696ab119b63263babdb54c298538. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
Predictions
Heuristic predictions, AS-IS, for prioritization only.
Mitigations
No mitigations published for this CVE yet.
The vendor-content worker queues fetches as references arrive (check back in a few minutes). Or — if you've already worked around this in production — publish your fix to the community-verified tier.
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OS impact
Arch Fixed 1 release
| Version | Status | Fixed in |
|---|---|---|
| — | Fixed | 2.5.1-1 |
Debian Fixed 2 releases
| Version | Status | Fixed in |
|---|---|---|
| sid | Fixed | 0 |
| forky | Fixed | 0 |
Package impact
| Ecosystem | Package | Vulnerable | Fixed |
|---|---|---|---|
| PyPI | tensorflow-gpu | <2.3.4 | 2.3.4 |
| PyPI | tensorflow | <2.3.4 | 2.3.4 |
| PyPI | tensorflow | >=2.4.0,<2.4.3 | 2.4.3 |
| PyPI | tensorflow-gpu | >=2.5.0,<2.5.1 | 2.5.1 |
| PyPI | tensorflow | >=2.5.0,<2.5.1 | 2.5.1 |
| PyPI | tensorflow-cpu | >=2.5.0,<2.5.1 | 2.5.1 |
| PyPI | tensorflow-gpu | >=2.4.0,<2.4.3 | 2.4.3 |
| PyPI | tensorflow-cpu | <2.3.4 | 2.3.4 |
| PyPI | tensorflow-cpu | >=2.4.0,<2.4.3 | 2.4.3 |
| PyPI | tensorflow | <8933b8a21280696ab119b63263babdb54c298538||>=2.4.0,<2.4.3 | 537bc7c723439b9194a358f64d871dd326c18887 |
| PyPI | tensorflow-cpu | <8933b8a21280696ab119b63263babdb54c298538||>=2.4.0,<2.4.3 | 537bc7c723439b9194a358f64d871dd326c18887 |
| PyPI | tensorflow-gpu | <8933b8a21280696ab119b63263babdb54c298538||>=2.4.0,<2.4.3 | 537bc7c723439b9194a358f64d871dd326c18887 |
References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4c4g-crqm-xrxw
- https://nvd.nist.gov/vuln/detail/CVE-2021-37682
- https://github.com/tensorflow/tensorflow/commit/4a91f2069f7145aab6ba2d8cfe41be8a110c18a5
- https://github.com/tensorflow/tensorflow/commit/537bc7c723439b9194a358f64d871dd326c18887
- https://github.com/tensorflow/tensorflow/commit/8933b8a21280696ab119b63263babdb54c298538
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-595.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-793.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-304.yaml
- https://github.com/tensorflow/tensorflow
- https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/depthwise_conv.cc#L198-L200
- https://security-tracker.debian.org/tracker/CVE-2021-37682
Community-verified mitigations for this CVE will appear above when contributors publish them.
Verify integrity in audit chain (admin only). AS-IS.