CVE-2021-37682

MEDIUM4.4EPSS 0.04%

Use of unitialized value in TFLite

發布日:2021/8/25修改日:2026/3/13

描述

### 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.

受影響套件(7)

  • Bitnami/tensorflow>= 2.3.0, < 2.3.4, >= 2.4.0, < 2.4.3, >= 2.5.0, < 2.5.1
  • PyPI/tensorflowfrom 0, < 2.3.4
  • PyPI/tensorflowfrom 0, < 537bc7c723439b9194a358f64d871dd326c18887, < 4a91f2069f7145aab6ba2d8cfe41be8a110c18a5, < 8933b8a21280696ab119b63263babdb54c298538 | >= 2.3.0, < 2.3.4, >= 2.4.0, < 2.4.3
  • PyPI/tensorflow-cpufrom 0, < 537bc7c723439b9194a358f64d871dd326c18887, < 4a91f2069f7145aab6ba2d8cfe41be8a110c18a5, < 8933b8a21280696ab119b63263babdb54c298538 | >= 2.3.0, < 2.3.4, >= 2.4.0, < 2.4.3
  • PyPI/tensorflow-cpufrom 0, < 2.3.4
  • PyPI/tensorflow-gpufrom 0, < 537bc7c723439b9194a358f64d871dd326c18887, < 4a91f2069f7145aab6ba2d8cfe41be8a110c18a5, < 8933b8a21280696ab119b63263babdb54c298538 | >= 2.3.0, < 2.3.4, >= 2.4.0, < 2.4.3
  • PyPI/tensorflow-gpufrom 0, < 2.3.4

CVSS 分數

來源版本嚴重程度向量
osvCVSS 4.0—CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:N/VI:L/VA:L/SC:N/SI:N/SA:N
osvCVSS 3.1MEDIUM4.4CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L

參考連結(10)