Ecosyste.ms: Advisories
An open API service providing security vulnerability metadata for many open source software ecosystems.
Security Advisories: GSA_kwCzR0hTQS1jcTc2LW14cmMtdmNoaM0XGA
Crash in `tf.math.segment_*` operations
Impact
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
.
Patches
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
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
Attribution
This vulnerability has been reported externally via a GitHub issue.
Permalink: https://github.com/advisories/GHSA-cq76-mxrc-vchhJSON: https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS1jcTc2LW14cmMtdmNoaM0XGA
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
References:
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cq76-mxrc-vchh
- https://nvd.nist.gov/vuln/detail/CVE-2021-41195
- https://github.com/tensorflow/tensorflow/issues/46888
- https://github.com/tensorflow/tensorflow/pull/51733
- https://github.com/tensorflow/tensorflow/commit/e9c81c1e1a9cd8dd31f4e83676cab61b60658429
- https://github.com/advisories/GHSA-cq76-mxrc-vchh
Affected Packages
pypi:tensorflow-gpu
Versions: < 2.4.4, >= 2.5.0, < 2.5.2, >= 2.6.0, < 2.6.1Fixed in: 2.4.4, 2.5.2, 2.6.1
pypi:tensorflow-cpu
Versions: < 2.4.4, >= 2.5.0, < 2.5.2, >= 2.6.0, < 2.6.1Fixed in: 2.4.4, 2.5.2, 2.6.1
pypi:tensorflow
Versions: < 2.4.4, >= 2.5.0, < 2.5.2, >= 2.6.0, < 2.6.1Fixed in: 2.4.4, 2.5.2, 2.6.1