PyPi: Tensorflow-Rocm

CVE-2020-15199

Safety vulnerability ID: 57994

This vulnerability was reviewed by experts

The information on this page was manually curated by our Cybersecurity Intelligence Team.

Created at Sep 25, 2020 Updated at Nov 29, 2024
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Advisory

Tensorflow-rocm 2.3.1 includes a fix for CVE-2020-15199: In Tensorflow before version 2.3.1, the "RaggedCountSparseOutput" does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the "splits" tensor has the minimum required number of elements. Code uses this quantity to initialize a different data structure. Since "BatchedMap" is equivalent to a vector, it needs to have at least one element to not be "nullptr". If user passes a "splits" tensor that is empty or has exactly one element, we get a "SIGABRT" signal raised by the operating system. The issue was patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x5cp-9pcf-pp3h

Affected package

tensorflow-rocm

Latest version: 2.14.0.600

TensorFlow is an open source machine learning framework for everyone.

Affected versions

Fixed versions

Vulnerability changelog

This vulnerability has no description

Resources

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Severity Details

CVSS Base Score

MEDIUM 5.9

CVSS v3 Details

MEDIUM 5.9
Attack Vector (AV)
NETWORK
Attack Complexity (AC)
HIGH
Privileges Required (PR)
NONE
User Interaction (UI)
NONE
Scope (S)
UNCHANGED
Confidentiality Impact (C)
NONE
Integrity Impact (I)
NONE
Availability Availability (A)
HIGH

CVSS v2 Details

MEDIUM 4.3
Access Vector (AV)
NETWORK
Access Complexity (AC)
MEDIUM
Authentication (Au)
NONE
Confidentiality Impact (C)
NONE
Integrity Impact (I)
NONE
Availability Impact (A)
PARTIAL