GHSA-p5f8-gfw5-33w4

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Source
https://github.com/advisories/GHSA-p5f8-gfw5-33w4
Import Source
https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2020/09/GHSA-p5f8-gfw5-33w4/GHSA-p5f8-gfw5-33w4.json
JSON Data
https://api.osv.dev/v1/vulns/GHSA-p5f8-gfw5-33w4
Aliases
Related
Published
2020-09-25T18:28:34Z
Modified
2024-10-28T21:20:25Z
Severity
  • 4.8 (Medium) CVSS_V3 - CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N CVSS Calculator
  • 6.3 (Medium) CVSS_V4 - CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:L/VI:L/VA:N/SC:N/SI:N/SA:N CVSS Calculator
Summary
Heap buffer overflow in Tensorflow
Details

Impact

The RaggedCountSparseOutput implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the splits tensor generate a valid partitioning of the values tensor. Hence, this code is prone to heap buffer overflow: https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/core/kernels/count_ops.cc#L248-L251

If split_values does not end with a value at least num_values then the while loop condition will trigger a read outside of the bounds of split_values once batch_idx grows too large.

Patches

We have patched the issue in 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and will release a patch release.

We recommend users to upgrade to TensorFlow 2.3.1.

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 members of the Aivul Team from Qihoo 360.

Database specific 
{
    "github_reviewed": true,
    "github_reviewed_at": "2020-09-25T17:24:59Z",
    "nvd_published_at": "2020-09-25T19:15:00Z",
    "cwe_ids": [
        "CWE-122",
        "CWE-20",
        "CWE-787"
    ],
    "severity": "MODERATE"
}
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
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
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