Vulnerability Details : CVE-2021-29601

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.
Vulnerability category: Overflow
Published 2021-05-14 20:15:15
Updated 2021-05-20 16:01:16
Source GitHub, Inc.
View at NVD,   CVE.org

Exploit prediction scoring system (EPSS) score for CVE-2021-29601

Probability of exploitation activity in the next 30 days: 0.04%

Percentile, the proportion of vulnerabilities that are scored at or less: ~ 11 % EPSS Score History EPSS FAQ

CVSS scores for CVE-2021-29601

Base Score Base Severity CVSS Vector Exploitability Score Impact Score Source
3.6
LOW AV:L/AC:L/Au:N/C:N/I:P/A:P
3.9
4.9
nvd@nist.gov
7.1
HIGH CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:H
1.8
5.2
nvd@nist.gov
6.3
MEDIUM CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:H/A:H
1.0
5.2
security-advisories@github.com

CWE ids for CVE-2021-29601

  • The product performs a calculation that can produce an integer overflow or wraparound, when the logic assumes that the resulting value will always be larger than the original value. This can introduce other weaknesses when the calculation is used for resource management or execution control.
    Assigned by: security-advisories@github.com (Primary)

References for CVE-2021-29601

Products affected by CVE-2021-29601

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