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Overflow/crash in `tf.range`

Moderate severity GitHub Reviewed Published Nov 4, 2021 in tensorflow/tensorflow • Updated Feb 1, 2023

Package

pip tensorflow (pip)

Affected versions

>= 2.6.0, < 2.6.1
>= 2.5.0, < 2.5.2
< 2.4.4

Patched versions

2.6.1
2.5.2
2.4.4
pip tensorflow-cpu (pip)
>= 2.6.0, < 2.6.1
>= 2.5.0, < 2.5.2
< 2.4.4
2.6.1
2.5.2
2.4.4
pip tensorflow-gpu (pip)
>= 2.6.0, < 2.6.1
>= 2.5.0, < 2.5.2
< 2.4.4
2.6.1
2.5.2
2.4.4

Description

Impact

While calculating the size of the output within the tf.range kernel, there is a conditional statement of type int64 = condition ? int64 : double. Due to C++ implicit conversion rules, both branches of the condition will be cast to double and the result would be truncated before the assignment. This result in overflows:

import tensorflow as tf

tf.sparse.eye(num_rows=9223372036854775807, num_columns=None)

Similarly, tf.range would result in crashes due to overflows if the start or end point are too large.

import tensorflow as tf

tf.range(start=-1e+38, limit=1)

Patches

We have patched the issue in GitHub commits 6d94002a09711d297dbba90390d5482b76113899 (merging #51359) and 1b0e0ec27e7895b9985076eab32445026ae5ca94 (merging #51711).

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.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported externally via GitHub issue, GitHub issue and GitHub issue.

References

@mihaimaruseac mihaimaruseac published to tensorflow/tensorflow Nov 4, 2021
Published by the National Vulnerability Database Nov 5, 2021
Reviewed Nov 8, 2021
Published to the GitHub Advisory Database Nov 10, 2021
Last updated Feb 1, 2023

Severity

Moderate

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v3 base metrics

Attack vector
Local
Attack complexity
Low
Privileges required
Low
User interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
High

CVSS v3 base metrics

Attack vector: More severe the more the remote (logically and physically) an attacker can be in order to exploit the vulnerability.
Attack complexity: More severe for the least complex attacks.
Privileges required: More severe if no privileges are required.
User interaction: More severe when no user interaction is required.
Scope: More severe when a scope change occurs, e.g. one vulnerable component impacts resources in components beyond its security scope.
Confidentiality: More severe when loss of data confidentiality is highest, measuring the level of data access available to an unauthorized user.
Integrity: More severe when loss of data integrity is the highest, measuring the consequence of data modification possible by an unauthorized user.
Availability: More severe when the loss of impacted component availability is highest.
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

EPSS score

0.045%
(15th percentile)

Weaknesses

CVE ID

CVE-2021-41202

GHSA ID

GHSA-xrqm-fpgr-6hhx

Source code

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