Vulnerability Details : CVE-2021-29596

TensorFlow is an end-to-end open source platform for machine learning. The implementation of the `EmbeddingLookup` TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/e4b29809543b250bc9b19678ec4776299dd569ba/tensorflow/lite/kernels/embedding_lookup.cc#L73-L74). An attacker can craft a model such that the first dimension of the `value` input is 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 20:15:15
Updated 2021-05-19 16:26:07
Source GitHub, Inc.
View at NVD,   CVE.org

Products affected by CVE-2021-29596

Exploit prediction scoring system (EPSS) score for CVE-2021-29596

EPSS FAQ
0.05%
Probability of exploitation activity in the next 30 days EPSS Score History
~ 15 %
Percentile, the proportion of vulnerabilities that are scored at or less

CVSS scores for CVE-2021-29596

Base Score Base Severity CVSS Vector Exploitability Score Impact Score Score Source First Seen
4.6
 MEDIUM AV:L/AC:L/Au:N/C:P/I:P/A:P
3.9
6.4
 NIST
7.8
 HIGH CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
1.8
5.9
 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-2021-29596

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

References for CVE-2021-29596

Jump to
This web site uses cookies for managing your session, storing preferences, website analytics and additional purposes described in our privacy policy.
By using this web site you are agreeing to CVEdetails.com terms of use!
Accept Close