Safety vulnerability ID: 57750
The information on this page was manually curated by our Cybersecurity Intelligence Team.
Tensorflow-rocm versions 2.4.4, 2.5.2 and 2.6.1 include a fix for CVE-2021-41195: 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 to 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 is included in TensorFlow 2.7.0.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cq76-mxrc-vchh
Latest version: 2.14.0.600
TensorFlow is an open source machine learning framework for everyone.
This vulnerability has no description
Scan your Python project for dependency vulnerabilities in two minutes
Scan your application