TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a null pointer dereference in the implementation of `tf.raw_ops.EditDistance`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/79865b542f9ffdc9caeb255631f7c56f1d4b6517/tensorflow/core/kernels/edit_distance_op.cc#L103-L159) has incomplete validation of the input parameters. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
Published 2021-05-14 20:15:14
Updated 2021-05-20 16:50:04
Source GitHub, Inc.
View at NVD,   CVE.org
Vulnerability category: Memory Corruption

Exploit prediction scoring system (EPSS) score for CVE-2021-29564

0.04%
Probability of exploitation activity in the next 30 days EPSS Score History
~ 11 %
Percentile, the proportion of vulnerabilities that are scored at or less

CVSS scores for CVE-2021-29564

Base Score Base Severity CVSS Vector Exploitability Score Impact Score Score Source First Seen
2.1
LOW AV:L/AC:L/Au:N/C:N/I:N/A:P
3.9
2.9
NIST
5.5
MEDIUM CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
1.8
3.6
NIST
2.5
LOW CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L
1.0
1.4
GitHub, Inc.

CWE ids for CVE-2021-29564

  • The product dereferences a pointer that it expects to be valid but is NULL.
    Assigned by: security-advisories@github.com (Primary)

References for CVE-2021-29564

Products affected by CVE-2021-29564

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