VULNERABILITY INTELLIGENCE
CVE-2020-15208
CVSS score7.4 HIGH
EPSS probability0.91%
CISA KEVNot currently listed
Published2020-09-25
Last modified2026-06-17
CVSS vectorCVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:N
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.
Weakness classification
- security-advisories@github.com: CWE-125
Primary references
- security-advisories@github.com — Mailing List, Third Party Advisory
- security-advisories@github.com — Patch, Third Party Advisory
- security-advisories@github.com — Third Party Advisory
- security-advisories@github.com — Exploit, Third Party Advisory
- af854a3a-2127-422b-91ae-364da2661108 — Mailing List, Third Party Advisory
- af854a3a-2127-422b-91ae-364da2661108 — Patch, Third Party Advisory
- af854a3a-2127-422b-91ae-364da2661108 — Third Party Advisory
- af854a3a-2127-422b-91ae-364da2661108 — Exploit, Third Party Advisory