Use of unitialized value in TFLite
Medium4.4CVE-2021-37682 · Published Aug 25, 2021 · updated Jul 8, 2026
Affected versions
| Package | Affected | Fixed in |
|---|---|---|
| tensorflow PyPI | < 2.3.4 | 2.3.4 |
| >= 2.4.0, < 2.4.3 | 2.4.3 | |
| >= 2.5.0, < 2.5.1 | 2.5.1 |
Details and references
### Impact 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): ```cc const auto* affine_quantization = reinterpret_cast<TfLiteAffineQuantization*>( filter->quantization.params); ``` 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. ### Patches We have patched the issue in GitHub commits [537bc7c723439b9194a358f64d871dd326c18887](https://github.com/tensorflow/tensorflow/commit/537bc7c723439b9194a358f64d871dd326c18887), [4a91f2069f7145aab6ba2d8cfe41be8a110c18a5](https://github.com/tensorflow/tensorflow/commit/4a91f2069f7145aab6ba2d8cfe41be8a110c18a5) and [8933b8a21280696ab119b63263babdb54c298538](https://github.com/tensorflow/tensorflow/commit/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. ### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions. ### Attribution This vulnerability has been reported by members of the Aivul Team from Qihoo 360.
- CVSS 3.1
- CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L
- Severity from
- GitHub (reviewed advisory)
- Weakness
- CWE-908
- Also known as
- BIT-tensorflow-2021-37682, CVE-2021-37682, PYSEC-2021-304, PYSEC-2021-595, PYSEC-2021-793
- github.com/tensorflow/tensorflow/security/advisories/GHSA-4c4g-crqm-xrxw
- nvd.nist.gov/vuln/detail/CVE-2021-37682
- github.com/tensorflow/tensorflow/commit/4a91f2069f7145aab6ba2d8cfe41be8a110c18a5
- github.com/tensorflow/tensorflow/commit/537bc7c723439b9194a358f64d871dd326c18887
- github.com/tensorflow/tensorflow/commit/8933b8a21280696ab119b63263babdb54c298538
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-595.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-793.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-304.yaml
- github.com/tensorflow/tensorflow
- github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/depthwise_conv.cc#L198-L200
More TensorFlow advisories
All TensorFlow| Date | Advisory | Severity | Fixed in |
|---|---|---|---|
| Aug 252021 | Segfault on strings tensors with mistmatched dimensions, due to Go code CVE-2021-37692Medium5.5fixed in 2.5.1 | Medium5.5 | 2.5.1 |
| Aug 252021 | FPE in LSH in TFLite CVE-2021-37691Medium5.5fixed in 2.3.4, 2.4.3, 2.5.1 | Medium5.5 | 2.3.4, 2.4.3, 2.5.1 |
| Aug 252021 | Use after free and segfault in shape inference functions CVE-2021-37690Medium6.6fixed in 2.3.4, 2.4.3, 2.5.1 | Medium6.6 | 2.3.4, 2.4.3, 2.5.1 |
| Aug 252021 | Null pointer dereference in TFLite MLIR optimizations CVE-2021-37689High7.8fixed in 2.3.4, 2.4.3, 2.5.1 | High7.8 | 2.3.4, 2.4.3, 2.5.1 |
| Aug 252021 | Null pointer dereference in TFLite CVE-2021-37688High7.8fixed in 2.3.4, 2.4.3, 2.5.1 | High7.8 | 2.3.4, 2.4.3, 2.5.1 |
| Aug 252021 | Infinite loop in TFLite CVE-2021-37686Medium5.5fixed in 2.6.0rc2 | Medium5.5 | 2.6.0rc2 |