GHSA-977j-xj7q-2jr9

Source

https://github.com/advisories/GHSA-977j-xj7q-2jr9

Import Source

https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2020/01/GHSA-977j-xj7q-2jr9/GHSA-977j-xj7q-2jr9.json

JSON Data

https://api.osv.dev/v1/vulns/GHSA-977j-xj7q-2jr9

Aliases

Related

CVE-2020-5215

Published

2020-01-28T21:32:29Z

Modified

2024-10-30T21:34:10.013733Z

Severity

5.0 (Medium) CVSS_V3 - CVSS:3.1/AV:L/AC:H/PR:L/UI:R/S:C/C:L/I:L/A:L CVSS Calculator
1.0 (Low) CVSS_V4 - CVSS:4.0/AV:L/AC:L/AT:P/PR:L/UI:P/VC:L/VI:L/VA:L/SC:L/SI:L/SA:L CVSS Calculator

Summary

Segmentation faultin TensorFlow when converting a Python string to `tf.float16`

Details

Impact

Converting a string (from Python) to a tf.float16 value results in a segmentation fault in eager mode as the format checks for this use case are only in the graph mode.

This issue can lead to denial of service in inference/training where a malicious attacker can send a data point which contains a string instead of a tf.float16 value.

Similar effects can be obtained by manipulating saved models and checkpoints whereby replacing a scalar tf.float16 value with a scalar string will trigger this issue due to automatic conversions.

This can be easily reproduced by tf.constant("hello", tf.float16), if eager execution is enabled.

Patches

We have patched the vulnerability in GitHub commit 5ac1b9.

We are additionally releasing TensorFlow 1.15.1 and 2.0.1 with this vulnerability patched.

TensorFlow 2.1.0 was released after we fixed the issue, thus it is not affected.

We encourage users to switch to TensorFlow 1.15.1, 2.0.1 or 2.1.0.

For more information

Please consult SECURITY.md for more information regarding the security model and how to contact us with issues and questions.

Database specific

{
    "nvd_published_at": null,
    "cwe_ids": [
        "CWE-754"
    ],
    "severity": "LOW",
    "github_reviewed": true,
    "github_reviewed_at": "2020-01-28T21:24:08Z"
}

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

1.15.2

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

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

2.0.1

Affected versions

2.*

2.0.0

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

1.15.2

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

2.0.1

Affected versions

2.*

2.0.0

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

1.15.2

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

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

2.0.1

Affected versions

2.*

2.0.0