CVE-2021-29598 – 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 `SVDF` ### Impact The implementation of the `SVDF` TFLite operator is [vulnerable to a division by zero error](https://github.com/tensorflow/tensorflow/blob/7f283ff806b2031f407db64c4d3edcda8fb9f9f5/tensorflow/lite/kernels/svdf.cc#L99-L102): ```cc const int rank = params->rank; ... TF_LITE_ENSURE_EQ(context, num_filters % rank, 0); ``` An attacker can craft a model such that `params->rank` would be 0. ### Patches We have patched the issue in GitHub commit [6841e522a3e7d48706a02e8819836e809f738682](https://github.com/tensorflow/tensorflow/commit/6841e522a3e7d48706a02e8819836e809f738682). 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: 2021-05-21T14:27:58Z
Modified: 2024-11-13T16:06:54Z
Source: https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2021/05/GHSA-pmpr-55fj-r229/GHSA-pmpr-55fj-r229.json
CWE IDs: ["CWE-369"]
Alternative ID: GHSA-pmpr-55fj-r229
Finding: F020
Auto approve: 1