CVE-2021-29588 – tensorflow

Package

Manager: pip
Name: tensorflow
Vulnerable Version: >=0 <2.1.4 || >=2.2.0 <2.2.3 || >=2.3.0 <2.3.3 || >=2.4.0 <2.4.2

Severity

Level: Low

CVSS v3.1: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L

CVSS v4.0: CVSS:4.0/AV:L/AC:L/AT:P/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N

EPSS: 0.00017 pctl0.02758

Details

Division by zero in TFLite's implementation of `TransposeConv` ### Impact The optimized implementation of the `TransposeConv` TFLite operator is [vulnerable to a division by zero error](https://github.com/tensorflow/tensorflow/blob/0d45ea1ca641b21b73bcf9c00e0179cda284e7e7/tensorflow/lite/kernels/internal/optimized/optimized_ops.h#L5221-L5222): ```cc int height_col = (height + pad_t + pad_b - filter_h) / stride_h + 1; int width_col = (width + pad_l + pad_r - filter_w) / stride_w + 1; ``` An attacker can craft a model such that `stride_{h,w}` values are 0. Code calling this function must validate these arguments. ### Patches We have patched the issue in GitHub commit [801c1c6be5324219689c98e1bd3e0ca365ee834d](https://github.com/tensorflow/tensorflow/commit/801c1c6be5324219689c98e1bd3e0ca365ee834d). 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.

Metadata

Created: 2021-05-21T14:26:48Z
Modified: 2024-11-01T16:53:39Z
Source: https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2021/05/GHSA-vfr4-x8j2-3rf9/GHSA-vfr4-x8j2-3rf9.json
CWE IDs: ["CWE-369"]
Alternative ID: GHSA-vfr4-x8j2-3rf9
Finding: F020
Auto approve: 1