CVE-2021-29596 – tensorflow-gpu

Package

Manager: pip
Name: tensorflow-gpu
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 `EmbeddingLookup` The implementation of the `EmbeddingLookup` TFLite operator is [vulnerable to a division by zero error](https://github.com/tensorflow/tensorflow/blob/e4b29809543b250bc9b19678ec4776299dd569ba/tensorflow/lite/kernels/embedding_lookup.cc#L73-L74): ```cc const int row_size = SizeOfDimension(value, 0); const int row_bytes = value->bytes / row_size; ``` An attacker can craft a model such that the first dimension of the `value` input is 0. ### Patches We have patched the issue in GitHub commit [f61c57bd425878be108ec787f4d96390579fb83e](https://github.com/tensorflow/tensorflow/commit/f61c57bd425878be108ec787f4d96390579fb83e). 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: 2021-05-21T14:27:51Z
Modified: 2024-11-13T16:05:41Z
Source: https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2021/05/GHSA-4vrf-ff7v-hpgr/GHSA-4vrf-ff7v-hpgr.json
CWE IDs: ["CWE-369"]
Alternative ID: GHSA-4vrf-ff7v-hpgr
Finding: F020
Auto approve: 1