TensorFlow is an end-to-end open source platform for machine learning. The implementations of the `Minimum` and `Maximum` TFLite operators can be used to read data outside of bounds of heap allocated objects, if any of the two input tensor arguments are empty. This is because the broadcasting implementation(https://github.com/tensorflow/tensorflow/blob/0d45ea1ca641b21b73bcf9c00e0179cda284e7e7/tensorflow/lite/kernels/internal/reference/maximum_minimum.h#L52-L56) indexes in both tensors with the same index but does not validate that the index is within bounds. 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 15:04:51
Source GitHub, Inc.
View at NVD,   CVE.org

Exploit prediction scoring system (EPSS) score for CVE-2021-29590

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-2021-29590

Base Score Base Severity CVSS Vector Exploitability Score Impact Score Score Source First Seen
3.6
LOW AV:L/AC:L/Au:N/C:P/I:N/A:P
3.9
4.9
NIST
7.1
HIGH CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H
1.8
5.2
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-2021-29590

  • The product reads data past the end, or before the beginning, of the intended buffer.
    Assigned by: security-advisories@github.com (Primary)

References for CVE-2021-29590

Products affected by CVE-2021-29590

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