In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, when determining the common dimension size of two tensors, TFLite uses a `DCHECK` which is no-op outside of debug compilation modes. Since the function always returns the dimension of the first tensor, malicious attackers can craft cases where this is larger than that of the second tensor. In turn, this would result in reads/writes outside of bounds since the interpreter will wrongly assume that there is enough data in both tensors. The issue is patched in commit 8ee24e7949a203d234489f9da2c5bf45a7d5157d, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
Published 2020-09-25 19:15:16
Updated 2021-09-16 15:45:34
Source GitHub, Inc.
View at NVD,   CVE.org
Vulnerability category: Memory Corruption

Exploit prediction scoring system (EPSS) score for CVE-2020-15208

0.17%
Probability of exploitation activity in the next 30 days EPSS Score History
~ 53 %
Percentile, the proportion of vulnerabilities that are scored at or less

CVSS scores for CVE-2020-15208

Base Score Base Severity CVSS Vector Exploitability Score Impact Score Score Source First Seen
7.5
HIGH AV:N/AC:L/Au:N/C:P/I:P/A:P
10.0
6.4
NIST
9.8
CRITICAL CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
3.9
5.9
NIST
7.4
HIGH CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:N
2.2
5.2
GitHub, Inc.

CWE ids for CVE-2020-15208

  • The product reads data past the end, or before the beginning, of the intended buffer.
    Assigned by: security-advisories@github.com (Primary)
  • The product writes data past the end, or before the beginning, of the intended buffer.
    Assigned by: security-advisories@github.com (Primary)

References for CVE-2020-15208

Products affected by CVE-2020-15208

This web site uses cookies for managing your session, storing preferences, website analytics and additional purposes described in our privacy policy.
By using this web site you are agreeing to CVEdetails.com terms of use!