Executive Summary
Informations | |||
---|---|---|---|
Name | CVE-2020-15265 | First vendor Publication | 2020-10-21 |
Vendor | Cve | Last vendor Modification | 2021-08-17 |
Security-Database Scoring CVSS v3
Cvss vector : CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H | |||
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Overall CVSS Score | 7.5 | ||
Base Score | 7.5 | Environmental Score | 7.5 |
impact SubScore | 3.6 | Temporal Score | 7.5 |
Exploitabality Sub Score | 3.9 | ||
Attack Vector | Network | Attack Complexity | Low |
Privileges Required | None | User Interaction | None |
Scope | Unchanged | Confidentiality Impact | None |
Integrity Impact | None | Availability Impact | High |
Calculate full CVSS 3.0 Vectors scores |
Security-Database Scoring CVSS v2
Cvss vector : (AV:N/AC:L/Au:N/C:N/I:N/A:P) | |||
---|---|---|---|
Cvss Base Score | 5 | Attack Range | Network |
Cvss Impact Score | 2.9 | Attack Complexity | Low |
Cvss Expoit Score | 10 | Authentication | None Required |
Calculate full CVSS 2.0 Vectors scores |
Detail
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. |
Original Source
Url : http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15265 |
CWE : Common Weakness Enumeration
% | Id | Name |
---|---|---|
100 % | CWE-125 | Out-of-bounds Read |
CPE : Common Platform Enumeration
Type | Description | Count |
---|---|---|
Application | 5 |
Sources (Detail)
Alert History
Date | Informations |
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2021-08-17 21:23:24 |
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2021-08-17 17:22:59 |
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2021-05-05 01:38:11 |
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2021-05-04 13:46:15 |
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2021-04-22 02:58:43 |
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2020-12-15 01:28:45 |
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2020-11-03 09:22:51 |
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2020-10-22 17:23:09 |
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2020-10-22 05:22:59 |
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