Executive Summary
Informations | |||
---|---|---|---|
Name | CVE-2020-15196 | First vendor Publication | 2020-09-25 |
Vendor | Cve | Last vendor Modification | 2024-11-21 |
Security-Database Scoring CVSS v3
Cvss vector : CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H | |||
---|---|---|---|
Overall CVSS Score | 9.9 | ||
Base Score | 9.9 | Environmental Score | 9.9 |
impact SubScore | 6 | Temporal Score | 9.9 |
Exploitabality Sub Score | 3.1 | ||
Attack Vector | Network | Attack Complexity | Low |
Privileges Required | Low | User Interaction | None |
Scope | Changed | Confidentiality Impact | High |
Integrity Impact | High | Availability Impact | High |
Calculate full CVSS 3.0 Vectors scores |
Security-Database Scoring CVSS v2
Cvss vector : (AV:N/AC:L/Au:S/C:P/I:P/A:P) | |||
---|---|---|---|
Cvss Base Score | 6.5 | Attack Range | Network |
Cvss Impact Score | 6.4 | Attack Complexity | Low |
Cvss Expoit Score | 8 | Authentication | Requires single instance |
Calculate full CVSS 2.0 Vectors scores |
Detail
In Tensorflow version 2.3.0, the `SparseCountSparseOutput` and `RaggedCountSparseOutput` implementations don't validate that the `weights` tensor has the same shape as the data. The check exists for `DenseCountSparseOutput`, where both tensors are fully specified. In the sparse and ragged count weights are still accessed in parallel with the data. But, since there is no validation, a user passing fewer weights than the values for the tensors can generate a read from outside the bounds of the heap buffer allocated for the weights. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1. |
Original Source
Url : http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15196 |
CWE : Common Weakness Enumeration
% | Id | Name |
---|---|---|
100 % | CWE-125 | Out-of-bounds Read |
CPE : Common Platform Enumeration
Type | Description | Count |
---|---|---|
Application | 1 |
Sources (Detail)
Alert History
Date | Informations |
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2024-11-28 13:40:11 |
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2021-11-18 21:24:22 |
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2021-08-17 17:22:59 |
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2021-05-04 13:46:36 |
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2021-04-22 02:58:18 |
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2020-10-02 05:22:51 |
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2020-09-26 09:22:47 |
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2020-09-26 00:22:48 |
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