GHSA-7x4v-9gxg-9hwj

Suggest an improvement
Source
https://github.com/advisories/GHSA-7x4v-9gxg-9hwj
Import Source
https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2023/03/GHSA-7x4v-9gxg-9hwj/GHSA-7x4v-9gxg-9hwj.json
JSON Data
https://api.osv.dev/v1/vulns/GHSA-7x4v-9gxg-9hwj
Aliases
Related
Published
2023-03-24T21:54:18Z
Modified
2023-12-06T01:02:54.652112Z
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 Segfault in Bincount with XLA
Details

Impact

When running with XLA, tf.raw_ops.Bincount segfaults when given a parameter weights that is neither the same shape as parameter arr nor a length-0 tensor.

import tensorflow as tf

func = tf.raw_ops.Bincount
para={'arr': 6, 'size': 804, 'weights': [52, 351]}

@tf.function(jit_compile=True)
def fuzz_jit():
 y = func(**para)
 return y

print(fuzz_jit())

Patches

We have patched the issue in GitHub commit 8ae76cf085f4be26295d2ecf2081e759e04b8acf.

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 has been reported by r3pwnx of 360 AIVul Team

Database specific 
{
    "severity": "HIGH",
    "github_reviewed_at": "2023-03-24T21:54:18Z",
    "nvd_published_at": "2023-03-25T00:15:00Z",
    "github_reviewed": true,
    "cwe_ids": [
        "CWE-697"
    ]
}
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

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
2.11.1

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
2.7.2
2.7.3
2.7.4
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-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
2.11.1

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
2.6.0
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