GHSA-x5cp-9pcf-pp3h

Suggest an improvement
Source
https://github.com/advisories/GHSA-x5cp-9pcf-pp3h
Import Source
https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2020/09/GHSA-x5cp-9pcf-pp3h/GHSA-x5cp-9pcf-pp3h.json
JSON Data
https://api.test.osv.dev/v1/vulns/GHSA-x5cp-9pcf-pp3h
Aliases
Published
2020-09-25T18:28:24Z
Modified
2024-10-28T14:51:46Z
Severity
  • 5.9 (Medium) CVSS_V3 - CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H CVSS Calculator
  • 8.2 (High) CVSS_V4 - CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N CVSS Calculator
Summary
Denial of Service in Tensorflow
Details

Impact

The RaggedCountSparseOutput does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the splits tensor has the minimum required number of elements. Code uses this quantity to initialize a different data structure: https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/core/kernels/count_ops.cc#L241-L244

Since BatchedMap is equivalent to a vector, it needs to have at least one element to not be nullptr. If user passes a splits tensor that is empty or has exactly one element, we get a SIGABRT signal raised by the operating system.

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 is a variant of GHSA-p5f8-gfw5-33w4

Database specific
{
    "nvd_published_at": "2020-09-25T19:15:00Z",
    "cwe_ids": [
        "CWE-20"
    ],
    "severity": "HIGH",
    "github_reviewed": true,
    "github_reviewed_at": "2020-09-25T16:59:30Z"
}
References

Affected packages

PyPI / tensorflow

Package

Affected ranges

Type
ECOSYSTEM
Events
Introduced
2.3.0
Fixed
2.3.1

Affected versions

2.*

2.3.0

PyPI / tensorflow-cpu

Package

Affected ranges

Type
ECOSYSTEM
Events
Introduced
2.3.0
Fixed
2.3.1

Affected versions

2.*

2.3.0

PyPI / tensorflow-gpu

Package

Affected ranges

Type
ECOSYSTEM
Events
Introduced
2.3.0
Fixed
2.3.1

Affected versions

2.*

2.3.0