CVE-2021-29589

LOW2.5EPSS 0.01%

Division by zero in TFLite's implementation of `GatherNd`

發布日:2021/5/21修改日:2026/3/13
也稱為:GHSA-3w67-q784-6w7cBIT-tensorflow-2021-29589PYSEC-2021-226PYSEC-2021-517PYSEC-2021-715

描述

### Impact The reference implementation of the `GatherNd` TFLite operator is [vulnerable to a division by zero error](https://github.com/tensorflow/tensorflow/blob/0d45ea1ca641b21b73bcf9c00e0179cda284e7e7/tensorflow/lite/kernels/internal/reference/reference_ops.h#L966): ```cc ret.dims_to_count[i] = remain_flat_size / params_shape.Dims(i); ``` An attacker can craft a model such that `params` input would be an empty tensor. In turn, `params_shape.Dims(.)` would be zero, in at least one dimension. ### Patches We have patched the issue in GitHub commit [8e45822aa0b9f5df4b4c64f221e64dc930a70a9d](https://github.com/tensorflow/tensorflow/commit/8e45822aa0b9f5df4b4c64f221e64dc930a70a9d). The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, 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/tensorflowfrom 0, < 2.1.4, >= 2.2.0, < 2.2.3, >= 2.3.0, < 2.3.3, >= 2.4.0, < 2.4.2
  • PyPI/tensorflowfrom 0, < 2.1.4
  • PyPI/tensorflowfrom 0, < 8e45822aa0b9f5df4b4c64f221e64dc930a70a9d | from 0, < 2.2.0rc0, >= 2.2.0, < 2.3.0rc0, >= 2.3.0, < 2.3.4, >= 2.4.0, < 2.4.3
  • PyPI/tensorflow-cpufrom 0, < 8e45822aa0b9f5df4b4c64f221e64dc930a70a9d | from 0, < 2.2.0rc0, >= 2.2.0, < 2.3.0rc0, >= 2.3.0, < 2.3.4, >= 2.4.0, < 2.4.3
  • PyPI/tensorflow-cpufrom 0, < 2.1.4
  • PyPI/tensorflow-gpufrom 0, < 8e45822aa0b9f5df4b4c64f221e64dc930a70a9d | from 0, < 2.2.0rc0, >= 2.2.0, < 2.3.0rc0, >= 2.3.0, < 2.3.4, >= 2.4.0, < 2.4.3
  • PyPI/tensorflow-gpufrom 0, < 2.1.4

CVSS 分數

來源版本嚴重程度向量
osvCVSS 4.0—CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N
osvCVSS 3.1LOW2.5CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L

參考連結(8)