CVE-2020-15208

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.

How to fix CVE-2020-15208

To remediate CVE-2020-15208, upgrade the affected package to a fixed version below.

—upgrade to 1.15.4 or later
—upgrade to 1.15.4 or later
—upgrade to 8ee24e7949a203d234489f9da2c5bf45a7d5157d or later
—upgrade to 8ee24e7949a203d234489f9da2c5bf45a7d5157d or later
—upgrade to 1.15.4 or later
—upgrade to 8ee24e7949a203d234489f9da2c5bf45a7d5157d or later
—upgrade to 1.15.4 or later

Is CVE-2020-15208 being exploited?

Low — EPSS is 0.3%, meaning exploitation activity has not been observed at scale.

Affected packages (7)

from 0, < 1.15.4, >= 2.0.0, < 2.0.3, >= 2.1.0, < 2.1.2, >= 2.2.0, < 2.2.1, >= 2.3.0, < 2.3.1
from 0, < 1.15.4
from 0, < 8ee24e7949a203d234489f9da2c5bf45a7d5157d | from 0, < 1.15.4, >= 2.0.0, < 2.0.3, >= 2.1.0, < 2.1.2, >= 2.2.0, < 2.2.1, >= 2.3.0, < 2.3.1
from 0, < 8ee24e7949a203d234489f9da2c5bf45a7d5157d | from 0, < 1.15.4, >= 2.0.0, < 2.0.3, >= 2.1.0, < 2.1.2, >= 2.2.0, < 2.2.1, >= 2.3.0, < 2.3.1
from 0, < 1.15.4
from 0, < 8ee24e7949a203d234489f9da2c5bf45a7d5157d | from 0, < 1.15.4, >= 2.0.0, < 2.0.3, >= 2.1.0, < 2.1.2, >= 2.2.0, < 2.2.1, >= 2.3.0, < 2.3.1
from 0, < 1.15.4

CVSS scores

Source	Version	Severity	Vector
osv	CVSS 4.0	—	CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N
osv	CVSS 3.1	HIGH7.4	CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:N