GHSA-qc53-44cj-vfvx
Suggest an improvement- Source
- https://github.com/advisories/GHSA-qc53-44cj-vfvx
- Import Source
- https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2020/09/GHSA-qc53-44cj-vfvx/GHSA-qc53-44cj-vfvx.json
- JSON Data
- https://api.osv.dev/v1/vulns/GHSA-qc53-44cj-vfvx
- Aliases
- Related
- Published
- 2020-09-25T18:28:30Z
- Modified
- 2024-10-28T20:24:30Z
- Severity
-
- 6.3 (Medium) CVSS_V3 - CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:N/I:N/A:H CVSS Calculator
- 4.9 (Medium) CVSS_V4 - CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:N/VI:N/VA:N/SC:N/SI:N/SA:H CVSS Calculator
- Summary
- Denial of Service in Tensorflow
- Details
-
Impact
The
SparseCountSparseOutputimplementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that theindicestensor has rank 2. This tensor must be a matrix because code assumes its elements are accessed as elements of a matrix: https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/core/kernels/count_ops.cc#L185However, malicious users can pass in tensors of different rank, resulting in a
CHECKassertion failure and a crash. This can be used to cause denial of service in serving installations, if users are allowed to control the components of the input sparse tensor.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", "CWE-617" ], "severity": "MODERATE", "github_reviewed": true, "github_reviewed_at": "2020-09-25T17:18:05Z" }- References
-
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qc53-44cj-vfvx
- https://nvd.nist.gov/vuln/detail/CVE-2020-15197
- https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-277.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-312.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2020-120.yaml
- https://github.com/tensorflow/tensorflow
- https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1
Affected packages
PyPI / tensorflow
Package
- Name
- tensorflow
- View open source insights on deps.dev
- Purl
- pkg:pypi/tensorflow
PyPI / tensorflow-cpu
Package
- Name
- tensorflow-cpu
- View open source insights on deps.dev
- Purl
- pkg:pypi/tensorflow-cpu
PyPI / tensorflow-gpu
Package
- Name
- tensorflow-gpu
- View open source insights on deps.dev
- Purl
- pkg:pypi/tensorflow-gpu