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Tensorflow CVE-2021-41198

MEDIUM
Integer Overflow or Wraparound (CWE-190)
2021-11-05 security-advisories@github.com
5.5
CVSS 3.1 · NVD
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Severity by source

NVD PRIMARY
5.5 MEDIUM
AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Attack Vector
Local
Attack Complexity
Low
Privileges Required
Low
User Interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
High

Lifecycle Timeline

1
CVE Published
Nov 05, 2021 - 20:15 nvd
MEDIUM 5.5

Blast Radius

ecosystem impact
† from your stack dependencies † transitive graph · vuln.today resolves 4-path depth
  • 30 pypi packages depend on tensorflow (30 direct, 0 indirect)
  • 10 pypi packages depend on tensorflow-gpu (9 direct, 1 indirect)

Ecosystem-wide dependent count for version 2.6.0 and other introduced versions.

DescriptionNVD

TensorFlow is an open source platform for machine learning. In affected versions if tf.tile is called with a large input argument then the TensorFlow process will crash due to a CHECK-failure caused by an overflow. The number of elements in the output tensor is too much for the int64_t type and the overflow is detected via a CHECK statement. This aborts the process. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

AnalysisAI

TensorFlow is an open source platform for machine learning. Rated medium severity (CVSS 5.5), this vulnerability is low attack complexity. Public exploit code available.

Technical ContextAI

This vulnerability is classified as Integer Overflow (CWE-190), which allows attackers to cause unexpected behavior through arithmetic overflow. TensorFlow is an open source platform for machine learning. In affected versions if tf.tile is called with a large input argument then the TensorFlow process will crash due to a CHECK-failure caused by an overflow. The number of elements in the output tensor is too much for the int64_t type and the overflow is detected via a CHECK statement. This aborts the process. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range. Affected products include: Google Tensorflow.

RemediationAI

A vendor patch is available. Apply the latest security update as soon as possible. Validate arithmetic operations, use safe integer libraries, check bounds before allocation.

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CVE-2021-41198 vulnerability details – vuln.today

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