CVE-2020-15208

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.
ProviderTypeBase ScoreAtk. VectorAtk. ComplexityPriv. RequiredVector
GitHub_MCNA
7.4 HIGH
NETWORK
HIGH
NONE
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:N
Base Score
CVSS 3.x
EPSS Score
Percentile: 59.02%
Affected Products (NVD)
VendorProductVersion
googletensorflow
𝑥
< 1.15.4
googletensorflow
2.0.0 ≤
𝑥
< 2.0.3
googletensorflow
2.1.0 ≤
𝑥
< 2.1.2
googletensorflow
2.2.0 ≤
𝑥
< 2.2.1
googletensorflow
2.3.0 ≤
𝑥
< 2.3.1
opensuseleap
15.2
𝑥
= Vulnerable software versions
Early Detection
Affected products identified ahead of NVD analysis through intelligence sources.
VendorProductVersionSource
tensorflowtensorflow
𝑥
< 1.15.4
CNA
Debian logo
Debian Releases
Debian Product
Codename
tensorflow
forky
2.14.1+dfsg-3.1
fixed
sid
2.14.1+dfsg-3.1
fixed