5.3

CVE-2020-15194

Exploit

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `SparseFillEmptyRowsGrad` implementation has incomplete validation of the shapes of its arguments. Although `reverse_index_map_t` and `grad_values_t` are accessed in a similar pattern, only `reverse_index_map_t` is validated to be of proper shape. Hence, malicious users can pass a bad `grad_values_t` to trigger an assertion failure in `vec`, causing denial of service in serving installations. The issue is patched in commit 390611e0d45c5793c7066110af37c8514e6a6c54, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1."

Daten sind bereitgestellt durch National Vulnerability Database (NVD)
Google ≫ Tensorflow SwEdition- Version < 1.15.4
Google ≫ Tensorflow SwEdition- Version >= 2.0.0 < 2.0.3
Google ≫ Tensorflow SwEdition- Version >= 2.1.0 < 2.1.2
Google ≫ Tensorflow SwEdition- Version >= 2.2.0 < 2.2.1
Google ≫ Tensorflow SwEdition- 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
Typ Quelle Score Percentile
EPSS FIRST.org 0.22% 0.416
CVSS Metriken
Quelle Base Score Exploit Score Impact Score Vector String
nvd@nist.gov 5.3 3.9 1.4
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
nvd@nist.gov 5 10 2.9
AV:N/AC:L/Au:N/C:N/I:N/A:P
security-advisories@github.com 5.3 3.9 1.4
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
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-617 Reachable Assertion

The product contains an assert() or similar statement that can be triggered by an attacker, which leads to an application exit or other behavior that is more severe than necessary.