Vulnerability Details : CVE-2021-29602

Potential exploit
TensorFlow is an end-to-end open source platform for machine learning. The implementation of the `DepthwiseConv` TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/1a8e885b864c818198a5b2c0cbbeca5a1e833bc8/tensorflow/lite/kernels/depthwise_conv.cc#L287-L288). An attacker can craft a model such that `input`'s fourth dimension would be 0. 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 20:15:16
Updated 2021-05-18 15:30:24
Source GitHub, Inc.
View at NVD,   CVE.org

Products affected by CVE-2021-29602

Exploit prediction scoring system (EPSS) score for CVE-2021-29602

EPSS FAQ
0.02%
Probability of exploitation activity in the next 30 days EPSS Score History
~ 1 %
Percentile, the proportion of vulnerabilities that are scored at or less

CVSS scores for CVE-2021-29602

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-2021-29602

  • The product divides a value by zero.
    Assigned by: security-advisories@github.com (Primary)

References for CVE-2021-29602

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