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GHSA-f49c-87jh-g47q BIT-tensorflow-2023-25801 CVE-2023-25801 PYSEC-2026-3166 PYSEC-2026-3314 PYSEC-2026-985

TensorFlow has double free in Fractional(Max/Avg)Pool

High PyPI
Severity
8.0 / 10
High · CVSS 3.1
Exploit chance (EPSS)
0.15%
Chance of exploitation in the next 30 days. Higher than 4.17% of scored vulnerabilities.
Known exploited
No
Not in CISA's catalog
Weakness
CWE-415 Double Free
Fix
Available
3 packages have a fixed version

Description

Impact

nn_ops.fractional_avg_pool_v2 and nn_ops.fractional_max_pool_v2 require the first and fourth elements of their parameter pooling_ratio to be equal to 1.0, as pooling on batch and channel dimensions is not supported.

import tensorflow as tf
import os
import numpy as np
from tensorflow.python.ops import nn_ops
try:
  arg_0_tensor = tf.random.uniform([3, 30, 50, 3], dtype=tf.float64)
  arg_0 = tf.identity(arg_0_tensor)
  arg_1_0 = 2
  arg_1_1 = 3
  arg_1_2 = 1
  arg_1_3 = 1
  arg_1 = [arg_1_0,arg_1_1,arg_1_2,arg_1_3,]
  arg_2 = True
  arg_3 = True
  seed = 341261001
  out = nn_ops.fractional_avg_pool_v2(arg_0,arg_1,arg_2,arg_3,seed=seed,)
except Exception as e:
  print("Error:"+str(e))

Patches

We have patched the issue in GitHub commit ee50d1e00f81f62a4517453f721c634bbb478307.

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 was reported by dmc1778, of nimashiri2012@gmail.com.

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 8.0

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

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

Weakness

CWE-415: Double Free

The product calls free() twice on the same memory address.

How to prevent it
  • Architecture and Design: Choose a language that provides automatic memory management.
  • Implementation: Ensure that each allocation is freed only once. After freeing a chunk, set the pointer to NULL to ensure the pointer cannot be freed again. In complicated error conditions, be sure that clean-up routines respect the state of allocation properly. If the language is object oriented, ensure that object destructors delete each chunk of memory only once.
  • Implementation: Use a static analysis tool to find double free instances.

References

Advisories

Packages

Other links

Timeline

  1. Published
  2. Last updated by the source
  3. Latest EPSS score
AdvisorySeverityWhy it's related
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GHSA-64jg-wjww-7c5w
TensorFlow has Null Pointer Error in TensorArrayConcatV2
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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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