Vulnerability Details : CVE-2021-29546

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger an integer division by zero undefined behavior in `tf.raw_ops.QuantizedBiasAdd`. This is because the implementation of the Eigen kernel(https://github.com/tensorflow/tensorflow/blob/61bca8bd5ba8a68b2d97435ddfafcdf2b85672cd/tensorflow/core/kernels/quantization_utils.h#L812-L849) does a division by the number of elements of the smaller input (based on shape) without checking that this is not zero. 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 20:15:13
Updated 2021-07-26 16:05:50
Source GitHub, Inc.
View at NVD,   CVE.org

Exploit prediction scoring system (EPSS) score for CVE-2021-29546

Probability of exploitation activity in the next 30 days: 0.05%

Percentile, the proportion of vulnerabilities that are scored at or less: ~ 15 % EPSS Score History EPSS FAQ

CVSS scores for CVE-2021-29546

Base Score Base Severity CVSS Vector Exploitability Score Impact Score Source
4.6
 MEDIUM AV:L/AC:L/Au:N/C:P/I:P/A:P
3.9
6.4
 nvd@nist.gov
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
 nvd@nist.gov
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
 security-advisories@github.com

CWE ids for CVE-2021-29546

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

References for CVE-2021-29546

Products affected by CVE-2021-29546

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