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GHSA-7x4v-9gxg-9hwj BIT-tensorflow-2023-25675 CVE-2023-25675 PYSEC-2026-3131 PYSEC-2026-3294 PYSEC-2026-967

TensorFlow has Segfault in Bincount with XLA

High PyPI
Severity
7.5 / 10
High · CVSS 3.1
Exploit chance (EPSS)
0.39%
Chance of exploitation in the next 30 days. Higher than 33.61% of scored vulnerabilities.
Known exploited
No
Not in CISA's catalog
Weakness
CWE-697 Incorrect Comparison
Fix
Available
3 packages have a fixed version

Description

Impact

When running with XLA, tf.raw_ops.Bincount segfaults when given a parameter weights that is neither the same shape as parameter arr nor a length-0 tensor.

import tensorflow as tf

func = tf.raw_ops.Bincount
para={'arr': 6, 'size': 804, 'weights': [52, 351]}

@tf.function(jit_compile=True)
def fuzz_jit():
 y = func(**para)
 return y

print(fuzz_jit())

Patches

We have patched the issue in GitHub commit 8ae76cf085f4be26295d2ecf2081e759e04b8acf.

The fix will be included in TensorFlow 2.12. We will also cherrypick this commit on TensorFlow 2.11.1.

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 r3pwnx of 360 AIVul Team

Affected versions

PyPI

PackageVulnerableFixed in
tensorflow
< 2.11.1
2.11.1
tensorflow-cpu
< 2.11.1
2.11.1
tensorflow-gpu
< 2.11.1
2.11.1

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 → 2.11.1

pip
pip install --upgrade "tensorflow>=2.11.1"
poetry
poetry add "tensorflow>=2.11.1"
uv
uv add "tensorflow>=2.11.1"

tensorflow-cpu PyPI → 2.11.1

pip
pip install --upgrade "tensorflow-cpu>=2.11.1"
poetry
poetry add "tensorflow-cpu>=2.11.1"
uv
uv add "tensorflow-cpu>=2.11.1"

tensorflow-gpu PyPI → 2.11.1

pip
pip install --upgrade "tensorflow-gpu>=2.11.1"
poetry
poetry add "tensorflow-gpu>=2.11.1"
uv
uv add "tensorflow-gpu>=2.11.1"

Severity breakdown

CVSS 3.1 7.5

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

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

Weakness

CWE-697: Incorrect Comparison

The product compares two entities in a security-relevant context, but the comparison is incorrect.

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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