CVEvulnerability

CVE-2020-15210

6.5 MEDIUM 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])
6.5 MEDIUM — CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:H
CVSS 3.1 ([email protected])
6.5 MEDIUM — CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:H
CVSS 2.0 ([email protected])
5.8 MEDIUM — AV:N/AC:M/Au:N/C:N/I:P/A:P
Weaknesses
CWE-20, CWE-787

Description

In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, if a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption. We have patched the issue in d58c96946b and will release patch releases for all versions between 1.15 and 2.3. We recommend users to upgrade to TensorFlow 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-20 Improper Input Validation weakness
  • CWE-787 Out-of-bounds Write weakness

References