CVEvulnerability

CVE-2020-15208

9.8 CRITICAL Published 2020-09-25 Modified 2026-06-17 Official page ↗
Status
Modified
Published
2020-09-25
Last modified
2026-06-17
Assigner
[email protected]
CVSS 3.1 ([email protected])
7.4 HIGH — CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:N
CVSS 3.1 ([email protected])
9.8 CRITICAL — CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
CVSS 2.0 ([email protected])
7.5 HIGH — AV:N/AC:L/Au:N/C:P/I:P/A:P
Weaknesses
CWE-125, CWE-787

Description

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.

Affected configurations

• google tensorflow (< 1.15.4) • google tensorflow (>= 2.0.0 < 2.0.3) • google tensorflow (>= 2.1.0 < 2.1.2) • google tensorflow (>= 2.2.0 < 2.2.1) • google tensorflow (>= 2.3.0 < 2.3.1) • opensuse leap 15.2

Related

Weakness · CWE (2)

  • CWE-125 Out-of-bounds Read weakness
  • CWE-787 Out-of-bounds Write weakness

References