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GHSA-h246-cgh4-7475 BIT-tensorflow-2022-41890 CVE-2022-41890 PYSEC-2026-1001 PYSEC-2026-3194 PYSEC-2026-3333

`CHECK` fail in `BCast` overflow

Medium PyPI
Severity
4.8 / 10
Medium · CVSS 3.1
Exploit chance (EPSS)
0.49%
Chance of exploitation in the next 30 days. Higher than 42.34% of scored vulnerabilities.
Known exploited
No
Not in CISA's catalog
Weakness
CWE-704 Incorrect Type Conversion or Cast
Fix
Available
3 packages have a fixed version

Description

Impact

If BCast::ToShape is given input larger than an int32, it will crash, despite being supposed to handle up to an int64. An example can be seen in tf.experimental.numpy.outer by passing in large input to the input b.

import tensorflow as tf
value = tf.constant(shape=[2, 1024, 1024, 1024], value=False)
tf.experimental.numpy.outer(a=6,b=value)

Patches

We have patched the issue in GitHub commit 8310bf8dd188ff780e7fc53245058215a05bdbe5.

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

Attribution

This vulnerability has been reported by Pattarakrit Rattankul.

Affected versions

PyPI

PackageVulnerableFixed in
tensorflow
< 2.8.4
2.8.4
tensorflow
>= 2.9.0, < 2.9.3
2.9.3
tensorflow
>= 2.10.0, < 2.10.1
2.10.1
tensorflow
< 2.8.4
>= 2.9.0, < 2.9.3
>= 2.10.0, < 2.10.1
2.8.4
2.9.3
2.10.1
tensorflow-cpu
< 2.8.4
2.8.4
tensorflow-cpu
>= 2.9.0, < 2.9.3
2.9.3
tensorflow-cpu
>= 2.10.0, < 2.10.1
2.10.1
tensorflow-cpu
< 2.8.4
>= 2.9.0, < 2.9.3
>= 2.10.0, < 2.10.1
2.8.4
2.9.3
2.10.1
tensorflow-gpu
< 2.8.4
2.8.4
tensorflow-gpu
>= 2.9.0, < 2.9.3
2.9.3
tensorflow-gpu
>= 2.10.0, < 2.10.1
2.10.1
tensorflow-gpu
< 2.8.4
>= 2.9.0, < 2.9.3
>= 2.10.0, < 2.10.1
2.8.4
2.9.3
2.10.1

How to fix

Move to the fixed version or later with your package manager, update the lockfile, and run your tests. If the package only arrives through another dependency, upgrade that dependency first. If none of its releases pulls a fixed version yet, force the version with your package manager's override.

tensorflow PyPI → 2.8.4

pip
pip install --upgrade "tensorflow>=2.8.4"
poetry
poetry add "tensorflow>=2.8.4"
uv
uv add "tensorflow>=2.8.4"

tensorflow-cpu PyPI → 2.8.4

pip
pip install --upgrade "tensorflow-cpu>=2.8.4"
poetry
poetry add "tensorflow-cpu>=2.8.4"
uv
uv add "tensorflow-cpu>=2.8.4"

tensorflow-gpu PyPI → 2.8.4

pip
pip install --upgrade "tensorflow-gpu>=2.8.4"
poetry
poetry add "tensorflow-gpu>=2.8.4"
uv
uv add "tensorflow-gpu>=2.8.4"

Severity breakdown

CVSS 3.1 4.8

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

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

Weakness

CWE-704: Incorrect Type Conversion or Cast

The product does not correctly convert an object, resource, or structure from one type to a different type.

References

Advisories

Packages

Other links

Timeline

  1. Published
  2. Last updated by the source
  3. Latest EPSS score
AdvisorySeverityWhy it's related
GHSA-gjh7-xx4r-x345
TensorFlow has segfault in array_ops.upper_bound
High Also affects tensorflow
GHSA-fxgc-95xx-grvq
TensorFlow Denial of Service vulnerability
Medium Also affects tensorflow
GHSA-93vr-9q9m-pj8p
TensorFlow vulnerable to Out-of-Bounds Read in DynamicStitch
High Also affects tensorflow
GHSA-qjqc-vqcf-5qvj
TensorFlow vulnerable to seg fault in `tf.raw_ops.Print`
High Also affects tensorflow
GHSA-7jvm-xxmr-v5cw
TensorFlow vulnerable to integer overflow in EditDistance
High Also affects tensorflow
GHSA-64jg-wjww-7c5w
TensorFlow has Null Pointer Error in TensorArrayConcatV2
High Also affects tensorflow
GHSA-6hg6-5c2q-7rcr
TensorFlow has Heap-buffer-overflow in AvgPoolGrad
High Also affects tensorflow
GHSA-558h-mq8x-7q9g
TensorFlow has Null Pointer Error in SparseSparseMaximum
High Also affects tensorflow
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