TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can craft a TFLite model that would trigger a division by zero error in LSH [implementation](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/lsh_projection.cc#L118). We have patched the issue in GitHub commit 0575b640091680cfb70f4dd93e70658de43b94f9. The fix will be included in TensorFlow 2.6.0. We will also cherrypick thiscommit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
Published 2021-08-12 23:15:09
Updated 2021-08-18 21:53:49
Source GitHub, Inc.
View at NVD,   CVE.org

Exploit prediction scoring system (EPSS) score for CVE-2021-37691

0.04%
Probability of exploitation activity in the next 30 days EPSS Score History
~ 10 %
Percentile, the proportion of vulnerabilities that are scored at or less

CVSS scores for CVE-2021-37691

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
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
GitHub, Inc.

CWE ids for CVE-2021-37691

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

References for CVE-2021-37691

Products affected by CVE-2021-37691

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