Lucene search

K
githubGitHub Advisory DatabaseGHSA-JQ6X-99HJ-Q636
HistoryNov 21, 2022 - 8:39 p.m.

Seg fault in `ndarray_tensor_bridge` due to zero and large inputs

2022-11-2120:39:49
CWE-670
GitHub Advisory Database
github.com
12
segmentation fault
tensorflow
numpy array
security patch
vulnerability
pyarray_simplenewfromdata
large inputs

7.5 High

CVSS3

Attack Vector

NETWORK

Attack Complexity

LOW

Privileges Required

NONE

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

NONE

Integrity Impact

NONE

Availability Impact

HIGH

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

0.001 Low

EPSS

Percentile

34.5%

Impact

If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. E.g. the following raises an error:

np.ones((0, 2**31, 2**31))

An example of a proof of concept:

import numpy as np
import tensorflow as tf

input_val = tf.constant([1])
shape_val = np.array([i for i in range(21)])

tf.broadcast_to(input=input_val,shape=shape_val)

The return value of PyArray_SimpleNewFromData, which returns null on such shapes, is not checked.

Patches

We have patched the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784.

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 Rattanukul.

Affected configurations

Vulners
Node
tensorflowgpuRange<2.10.1
OR
tensorflowcpuRange<2.10.1
OR
tensorflowgpuRange<2.9.3
OR
tensorflowcpuRange<2.9.3
OR
tensorflowgpuRange<2.8.4
OR
tensorflowcpuRange<2.8.4
OR
github_advisory_databasetensorflowRange<2.10.1
OR
github_advisory_databasetensorflowRange<2.9.3
OR
github_advisory_databasetensorflowRange<2.8.4

7.5 High

CVSS3

Attack Vector

NETWORK

Attack Complexity

LOW

Privileges Required

NONE

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

NONE

Integrity Impact

NONE

Availability Impact

HIGH

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

0.001 Low

EPSS

Percentile

34.5%