Vulnerability Details : CVE-2020-15265

In Tensorflow before version 2.4.0, an attacker can pass an invalid `axis` value to `tf.quantization.quantize_and_dequantize`. This results in accessing a dimension outside the rank of the input tensor in the C++ kernel implementation. However, dim_size only does a DCHECK to validate the argument and then uses it to access the corresponding element of an array. Since in normal builds, `DCHECK`-like macros are no-ops, this results in segfault and access out of bounds of the array. The issue is patched in eccb7ec454e6617738554a255d77f08e60ee0808 and TensorFlow 2.4.0 will be released containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved.
Published 2020-10-21 21:15:12
Updated 2021-08-17 13:21:10
Source GitHub, Inc.
View at NVD,   CVE.org

Products affected by CVE-2020-15265

Exploit prediction scoring system (EPSS) score for CVE-2020-15265

EPSS FAQ
0.23%
Probability of exploitation activity in the next 30 days EPSS Score History
~ 61 %
Percentile, the proportion of vulnerabilities that are scored at or less

CVSS scores for CVE-2020-15265

Base Score Base Severity CVSS Vector Exploitability Score Impact Score Score Source First Seen
5.0
 MEDIUM AV:N/AC:L/Au:N/C:N/I:N/A:P
10.0
2.9
 NIST
7.5
 HIGH CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
3.9
3.6
 NIST
5.9
 MEDIUM CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
2.2
3.6
 GitHub, Inc.

CWE ids for CVE-2020-15265

  • 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-2020-15265

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