BIT-tensorflow-2021-41219

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Import Source
https://github.com/bitnami/vulndb/tree/main/data/tensorflow/BIT-tensorflow-2021-41219.json
JSON Data
https://api.osv.dev/v1/vulns/BIT-tensorflow-2021-41219
Aliases
Published
2024-03-06T11:16:06.586Z
Modified
2024-03-06T11:25:28.861Z
Summary
[none]
Details

TensorFlow is an open source platform for machine learning. In affected versions the code for sparse matrix multiplication is vulnerable to undefined behavior via binding a reference to nullptr. This occurs whenever the dimensions of a or b are 0 or less. In the case on one of these is 0, an empty output tensor should be allocated (to conserve the invariant that output tensors are always allocated when the operation is successful) but nothing should be written to it (that is, we should return early from the kernel implementation). Otherwise, attempts to write to this empty tensor would result in heap OOB access. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

Database specific
{
    "cpes": [
        "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*",
        "cpe:2.3:a:google:tensorflow:2.6.0:*:*:*:*:*:*:*"
    ],
    "severity": "High"
}
References

Affected packages

Bitnami / tensorflow

Package

Name
tensorflow
Purl
pkg:bitnami/tensorflow

Severity

  • 7.8 (High) CVSS_V3 - CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H CVSS Calculator

Affected ranges

Type
SEMVER
Events
Introduced
0Unknown introduced version / All previous versions are affected
Fixed
2.4.4
Introduced
2.5.0
Fixed
2.5.2
Type
SEMVER
Events
Introduced
2.6.0
Last affected
2.6.0