GHSA-x9j7-x98r-r4w2

Source

https://github.com/advisories/GHSA-x9j7-x98r-r4w2

Import Source

https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2020/09/GHSA-x9j7-x98r-r4w2/GHSA-x9j7-x98r-r4w2.json

JSON Data

https://api.osv.dev/v1/vulns/GHSA-x9j7-x98r-r4w2

Aliases

Published

2020-09-25T18:28:51Z

Modified

2024-10-28T15:03:34.616190Z

Severity

6.5 (Medium) CVSS_V3 - CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:H CVSS Calculator
8.3 (High) CVSS_V4 - CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:N/VI:L/VA:H/SC:N/SI:N/SA:N CVSS Calculator

Summary

Segmentation fault in tensorflow-lite

Details

Impact

If a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption.

Patches

We have patched the issue in d58c96946b and will release patch releases for all versions between 1.15 and 2.3.

We recommend users to upgrade to TensorFlow 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

Workarounds

A potential workaround would be to add a custom Verifier to the model loading code to ensure that no operator reuses tensors as both inputs and outputs. Care should be taken to check all types of inputs (i.e., constant or variable tensors as well as optional tensors).

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 discovered from a variant analysis of GHSA-cvpc-8phh-8f45.

Database specific

{
    "nvd_published_at": "2020-09-25T19:15:00Z",
    "cwe_ids": [
        "CWE-20",
        "CWE-787"
    ],
    "severity": "HIGH",
    "github_reviewed": true,
    "github_reviewed_at": "2020-09-25T18:15:49Z"
}

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

1.15.4

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

PyPI / tensorflow

Package

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

Affected ranges

Type: ECOSYSTEM
Events: Introduced

2.0.0

Fixed

2.0.3

Affected versions

2.*

2.0.0

2.0.1

2.0.2

PyPI / tensorflow

Package

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

Affected ranges

Type: ECOSYSTEM
Events: Introduced

2.1.0

Fixed

2.1.2

Affected versions

2.*

2.1.0

2.1.1

PyPI / tensorflow

Package

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

Affected ranges

Type: ECOSYSTEM
Events: Introduced

2.2.0

Fixed

2.2.1

Affected versions

2.*

2.2.0

PyPI / tensorflow

Package

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

Affected ranges

Type: ECOSYSTEM
Events: Introduced

2.3.0

Fixed

2.3.1

Affected versions

2.*

2.3.0

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

1.15.4

Affected versions

1.*

1.15.0

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

2.0.0

Fixed

2.0.3

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

2.1.0

Fixed

2.1.2

Affected versions

2.*

2.1.0

2.1.1

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

2.2.0

Fixed

2.2.1

Affected versions

2.*

2.2.0

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

1.15.4

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

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

2.0.0

Fixed

2.0.3

Affected versions

2.*

2.0.0

2.0.1

2.0.2

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

2.1.0

Fixed

2.1.2

Affected versions

2.*

2.1.0

2.1.1

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

2.2.0

Fixed

2.2.1

Affected versions

2.*

2.2.0

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

2.3.0

Fixed

2.3.1

Affected versions

2.*

2.3.0

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

2.3.0

Fixed

2.3.1

Affected versions

2.*

2.3.0