PyPi: Tensorflow-Rocm-Enhanced

CVE-2021-29536

Safety vulnerability ID: 58144

This vulnerability was reviewed by experts

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

Created at May 14, 2021 Updated at Nov 29, 2024
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Advisory

Tensorflow-rocm-enhanced 2.1.4, 2.2.3, 2.3.3 and 2.4.2 include a fix for CVE-2021-29536: An attacker can cause a heap buffer overflow in 'QuantizedReshape' by passing in invalid thresholds for the quantization. This is because the implementation (https://github.com/tensorflow/tensorflow/blob/a324ac84e573fba362a5e53d4e74d5de6729933e/tensorflow/core/kernels/quantized_reshape_op.cc#L38-L55) assumes that the 2 arguments are always valid scalars and tries to access the numeric value directly. However, if any of these tensors is empty, then '.flat<T>()' is an empty buffer and accessing the element at position 0 results in overflow.

Affected package

tensorflow-rocm-enhanced

Latest version: 2.4.3

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

HIGH 7.8

CVSS v3 Details

HIGH 7.8
Attack Vector (AV)
LOCAL
Attack Complexity (AC)
LOW
Privileges Required (PR)
LOW
User Interaction (UI)
NONE
Scope (S)
UNCHANGED
Confidentiality Impact (C)
HIGH
Integrity Impact (I)
HIGH
Availability Availability (A)
HIGH

CVSS v2 Details

MEDIUM 4.6
Access Vector (AV)
LOCAL
Access Complexity (AC)
LOW
Authentication (Au)
NONE
Confidentiality Impact (C)
PARTIAL
Integrity Impact (I)
PARTIAL
Availability Impact (A)
PARTIAL