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CVE-2022-41897

MEDIUM
Published 2022-11-18T00:00:00.000Z
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CVSS Score

V3.1
4.8
/10
CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
Base Score Metrics
Exploitability: N/A Impact: N/A

EPSS Score

v2025.03.14
0.001
probability
of exploitation in the wild

There is a 0.1% chance that this vulnerability will be exploited in the wild within the next 30 days.

Updated: 2025-06-25
Exploit Probability
Percentile: 0.295
Higher than 29.5% of all CVEs

Attack Vector Metrics

Attack Vector
NETWORK
Attack Complexity
HIGH
Privileges Required
LOW
User Interaction
REQUIRED
Scope
UNCHANGED

Impact Metrics

Confidentiality
NONE
Integrity
NONE
Availability
HIGH

Description

TensorFlow is an open source platform for machine learning. If `FractionMaxPoolGrad` is given outsize inputs `row_pooling_sequence` and `col_pooling_sequence`, TensorFlow will crash. We have patched the issue in GitHub commit d71090c3e5ca325bdf4b02eb236cfb3ee823e927. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

Available Exploits

No exploits available for this CVE.

Related News

No news articles found for this CVE.

Affected Products

GitHub Security Advisories

Community-driven vulnerability intelligence from GitHub

✓ GitHub Reviewed MODERATE

`FractionalMaxPoolGrad` Heap out of bounds read

GHSA-f2w8-jw48-fr7j

Advisory Details

### Impact If [`FractionMaxPoolGrad`](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/fractional_max_pool_op.cc) is given outsize inputs `row_pooling_sequence` and `col_pooling_sequence`, TensorFlow will crash. ```python import tensorflow as tf tf.raw_ops.FractionMaxPoolGrad( orig_input = [[[[1, 1, 1, 1, 1]]]], orig_output = [[[[1, 1, 1]]]], out_backprop = [[[[3], [3], [6]]]], row_pooling_sequence = [-0x4000000, 1, 1], col_pooling_sequence = [-0x4000000, 1, 1], overlapping = False ) ``` ### Patches We have patched the issue in GitHub commit [d71090c3e5ca325bdf4b02eb236cfb3ee823e927](https://github.com/tensorflow/tensorflow/commit/d71090c3e5ca325bdf4b02eb236cfb3ee823e927). The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range. ### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions. ### Attribution This vulnerability has been reported by Vul AI.

Affected Packages

PyPI tensorflow
ECOSYSTEM: ≥0 <2.8.4
PyPI tensorflow
ECOSYSTEM: ≥2.9.0 <2.9.3
PyPI tensorflow
ECOSYSTEM: ≥2.10.0 <2.10.1
PyPI tensorflow-cpu
ECOSYSTEM: ≥0 <2.8.4
PyPI tensorflow-gpu
ECOSYSTEM: ≥0 <2.8.4
PyPI tensorflow-cpu
ECOSYSTEM: ≥2.9.0 <2.9.3
PyPI tensorflow-gpu
ECOSYSTEM: ≥2.9.0 <2.9.3
PyPI tensorflow-cpu
ECOSYSTEM: ≥2.10.0 <2.10.1
PyPI tensorflow-gpu
ECOSYSTEM: ≥2.10.0 <2.10.1

CVSS Scoring

CVSS Score

5.0

CVSS Vector

CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H

Advisory provided by GitHub Security Advisory Database. Published: November 21, 2022, Modified: November 21, 2022

References

Published: 2022-11-18T00:00:00.000Z
Last Modified: 2025-04-22T16:04:11.757Z
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