BIT-tensorflow-2021-29601

See a problem?
Import Source
https://github.com/bitnami/vulndb/tree/main/data/tensorflow/BIT-tensorflow-2021-29601.json
JSON Data
https://api.test.osv.dev/v1/vulns/BIT-tensorflow-2021-29601
Aliases
Published
2024-03-06T11:18:18.197Z
Modified
2024-11-27T19:40:48.342Z
Summary
[none]
Details

TensorFlow is an end-to-end open source platform for machine learning. The TFLite implementation of concatenation is vulnerable to an integer overflow issue(https://github.com/tensorflow/tensorflow/blob/7b7352a724b690b11bfaae2cd54bc3907daf6285/tensorflow/lite/kernels/concatenation.cc#L70-L76). An attacker can craft a model such that the dimensions of one of the concatenation input overflow the values of int. TFLite uses int to represent tensor dimensions, whereas TF uses int64. Hence, valid TF models can trigger an integer overflow when converted to TFLite format. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

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

Affected packages

Bitnami / tensorflow

Package

Name
tensorflow
Purl
pkg:bitnami/tensorflow

Severity

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

Affected ranges

Type
SEMVER
Events
Introduced
0Unknown introduced version / All previous versions are affected
Fixed
2.1.4
Introduced
2.2.0
Fixed
2.2.3
Introduced
2.3.0
Fixed
2.3.3
Introduced
2.4.0
Fixed
2.4.2