6.5

CVE-2020-15210

Exploit

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.

Data is provided by the National Vulnerability Database (NVD)
Google ≫ Tensorflow SwEditionlite Version < 1.15.4
Google ≫ Tensorflow SwEditionlite Version >= 2.0.0 < 2.0.3
Google ≫ Tensorflow SwEditionlite Version >= 2.1.0 < 2.1.2
Google ≫ Tensorflow SwEditionlite Version >= 2.2.0 < 2.2.1
Google ≫ Tensorflow SwEditionlite Version >= 2.3.0 < 2.3.1
Opensuse ≫ Leap Version15.2
Zu dieser CVE wurde keine CISA KEV oder CERT.AT-Warnung gefunden.
EPSS Metriken
Type Source Score Percentile
EPSS FIRST.org 0.33% 0.528
CVSS Metriken
Source Base Score Exploit Score Impact Score Vector string
nvd@nist.gov 6.5 2.2 4.2
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:H
nvd@nist.gov 5.8 8.6 4.9
AV:N/AC:M/Au:N/C:N/I:P/A:P
security-advisories@github.com 6.5 2.2 4.2
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:H
CWE-20 Improper Input Validation

The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly.

CWE-787 Out-of-bounds Write

The product writes data past the end, or before the beginning, of the intended buffer.