GHSA-rcf8-g8jv-vg6p

Suggest an improvement
Source
https://github.com/advisories/GHSA-rcf8-g8jv-vg6p
Import Source
https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2023/03/GHSA-rcf8-g8jv-vg6p/GHSA-rcf8-g8jv-vg6p.json
JSON Data
https://api.test.osv.dev/v1/vulns/GHSA-rcf8-g8jv-vg6p
Aliases
Published
2023-03-24T21:56:53Z
Modified
2023-12-06T00:47:51.685931Z
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 Floating Point Exception in AvgPoolGrad with XLA
Details

Impact

If the stride and window size are not positive for tf.raw_ops.AvgPoolGrad, it can give an FPE.

import tensorflow as tf
import numpy as np

@tf.function(jit_compile=True)
def test():
   y = tf.raw_ops.AvgPoolGrad(orig_input_shape=[1,0,0,0], grad=[[[[0.39117979]]]], ksize=[1,0,0,0], strides=[1,0,0,0], padding="SAME", data_format="NCHW")
   return y

print(test())

Patches

We have patched the issue in GitHub commit 1295ae4dbb52fe06b19733b0257e2340d7b63b8d.

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 
{
    "nvd_published_at": "2023-03-25T00:15:00Z",
    "github_reviewed_at": "2023-03-24T21:56:53Z",
    "severity": "HIGH",
    "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