CVE-2021-41195 Information

Description

TensorFlow is an open source platform for machine learning. In affected versions the implementation of tf.math.segment_ operations results in a CHECK-fail related abort (and denial of service) if a segment id in segment_ids is large. This is similar to CVE-2021-29584 (and similar other reported vulnerabilities in TensorFlow localized to specific APIs): the implementation (both on CPU and GPU) computes the output shape using AddDim. However if the number of elements in the tensor overflows an int64_t value AddDim results in a CHECK failure which provokes a std::abort. Instead code should use AddDimWithStatus. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1 TensorFlow 2.5.2 and TensorFlow 2.4.4 as these are also affected and still in supported range.

CVSS Vector

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

Reference

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cq76-mxrc-vchh https://github.com/tensorflow/tensorflow/commit/e9c81c1e1a9cd8dd31f4e83676cab61b60658429 https://github.com/tensorflow/tensorflow/pull/51733 https://github.com/tensorflow/tensorflow/issues/46888

Attack Complexity

LOW

Privileges Required

LOW

User Interaction Required

LOW

Scope

NONE

Confidentiality Impact

UNCHANGED

Integrity Impact

NONE

Availability Impact

NONE

Base Score

HIGH

Base Severity

5.5