8.5

CVE-2022-45147

A vulnerability has been identified in SIMATIC PCS neo V4.0 (All versions), SIMATIC STEP 7 V16 (All versions), SIMATIC STEP 7 V17 (All versions), SIMATIC STEP 7 V18 (All versions < V18 Update 2). Affected applications do not properly restrict the .NET BinaryFormatter when deserializing user-controllable input. This could allow an attacker to cause a type confusion and execute arbitrary code within the affected application.

This is the same issue that exists for .NET BinaryFormatter https://docs.microsoft.com/en-us/visualstudio/code-quality/ca2300.

Verknüpft mit AI von unstrukturierten Daten zu bestehenden CPE der NVD
This information is available to logged-in users.
Daten sind bereitgestellt durch das CVE Programm von Authorized Data Publishers (ADP) (Unstrukturiert)
Vendorsiemens
≫
Product simatic_pcs_neo
Default Statusunknown
Version < 5.0
Version 4.0
Status affected
Vendorsiemens
≫
Product simatic_step_7
Default Statusunknown
Version < 17
Version 16
Status affected
Version < 18
Version 17
Status affected
Version < 18_update_2
Version 18
Status affected
Vendorsiemens
≫
Product simatic_step_7
Default Statusunknown
Version < 17
Version 16
Status affected
Version < 18
Version 17
Status affected
Version < 18_update_2
Version 18
Status affected
Vendorsiemens
≫
Product simatic_step_7
Default Statusunknown
Version < 17
Version 16
Status affected
Version < 18
Version 17
Status affected
Version < 18_update_2
Version 18
Status affected
Zu dieser CVE wurde keine CISA KEV oder CERT.AT-Warnung gefunden.
EPSS Metriken
Type Source Score Percentile
EPSS FIRST.org 0.05% 0.16
CVSS Metriken
Source Base Score Exploit Score Impact Score Vector string
productcert@siemens.com 8.5 0 0
CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
productcert@siemens.com 7.8 1.8 5.9
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
CWE-502 Deserialization of Untrusted Data

The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.