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Security Advisories: GSA_kwCzR0hTQS1jcTc2LW14cmMtdmNoaM0XGA

Crash in `tf.math.segment_*` operations


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.

import tensorflow as tf

tf.math.segment_max(data=np.ones((1,10,1)), segment_ids=[1676240524292489355])
tf.math.segment_min(data=np.ones((1,10,1)), segment_ids=[1676240524292489355])
tf.math.segment_mean(data=np.ones((1,10,1)), segment_ids=[1676240524292489355])    
tf.math.segment_sum(data=np.ones((1,10,1)), segment_ids=[1676240524292489355])
tf.math.segment_prod(data=np.ones((1,10,1)), segment_ids=[1676240524292489355])

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.


We have patched the issue in GitHub commit e9c81c1e1a9cd8dd31f4e83676cab61b60658429 (merging #51733).

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.

For more information

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This vulnerability has been reported externally via a GitHub issue.

Source: GitHub Advisory Database
Origin: Unspecified
Severity: Moderate
Classification: General
Published: over 1 year ago
Updated: 4 months ago

CVSS Score: 5.5
CVSS vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Identifiers: GHSA-cq76-mxrc-vchh, CVE-2021-41195

Affected Packages

Versions: < 2.4.4, >= 2.5.0, < 2.5.2, >= 2.6.0, < 2.6.1
Fixed in: 2.4.4, 2.5.2, 2.6.1
Versions: < 2.4.4, >= 2.5.0, < 2.5.2, >= 2.6.0, < 2.6.1
Fixed in: 2.4.4, 2.5.2, 2.6.1
Versions: < 2.4.4, >= 2.5.0, < 2.5.2, >= 2.6.0, < 2.6.1
Fixed in: 2.4.4, 2.5.2, 2.6.1