TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a denial of service via a `CHECK`-fail in `tf.raw_ops.MapStage`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/map_stage_op.cc#L513) does not check that the `key` input is a valid non-empty tensor. We have patched the issue in GitHub commit d7de67733925de196ec8863a33445b73f9562d1d. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit 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 23:15:08
Updated 2021-08-19 14:02:36
Source GitHub, Inc.
View at NVD,   CVE.org
Vulnerability category: Input validationDenial of service

Exploit prediction scoring system (EPSS) score for CVE-2021-37673

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-2021-37673

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-2021-37673

  • The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly.
    Assigned by: security-advisories@github.com (Primary)

References for CVE-2021-37673

Products affected by CVE-2021-37673

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!