CVE-2020-15210 – tensorflow-cpu

Package

Manager: pip
Name: tensorflow-cpu
Vulnerable Version: >=0 <1.15.4 || >=2.0.0 <2.0.3 || >=2.1.0 <2.1.2 || =2.2.0 || >=2.2.0 <2.2.1 || =2.3.0 || >=2.3.0 <2.3.1

Severity

Level: High

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

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

EPSS: 0.00329 pctl0.55273

Details

Segmentation fault in tensorflow-lite ### Impact If a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption. ### Patches We have patched the issue in d58c96946b and will release patch releases for all versions between 1.15 and 2.3. We recommend users to upgrade to TensorFlow 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1. ### Workarounds A potential workaround would be to add a custom `Verifier` to the model loading code to ensure that no operator reuses tensors as both inputs and outputs. Care should be taken to check all types of inputs (i.e., constant or variable tensors as well as optional tensors). ### 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 discovered from a variant analysis of [GHSA-cvpc-8phh-8f45](https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cvpc-8phh-8f45).

Metadata

Created: 2020-09-25T18:28:51Z
Modified: 2024-10-28T14:55:40Z
Source: https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2020/09/GHSA-x9j7-x98r-r4w2/GHSA-x9j7-x98r-r4w2.json
CWE IDs: ["CWE-20", "CWE-787"]
Alternative ID: GHSA-x9j7-x98r-r4w2
Finding: F111
Auto approve: 1