CVE-2024-46892
Nov. 13, 2024, 11:13 p.m.
4.9
Medium
Description
A vulnerability has been identified in SINEC INS (All versions < V1.0 SP2 Update 3). The affected application does not properly invalidate sessions when the associated user is deleted or disabled or their permissions are modified. This could allow an authenticated attacker to continue performing malicious actions even after their user account has been disabled.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Siemens |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-613
Insufficient Session Expiration
According to WASC, "Insufficient Session Expiration is when a web site permits an attacker to reuse old session credentials or session IDs for authorization."
*CPE(s)
Affected systems and software identified for this CVE.
| Type | Vendor | Product | Version | Update | Edition | Language | Software Edition | Target Software | Target Hardware | Other Information |
|---|---|---|---|---|---|---|---|---|---|---|
| a | siemens | sinec_ins | / | / | / | / | / | / | / | / |
| a | siemens | sinec_ins | 1.0 | - | / | / | / | / | / | / |
| a | siemens | sinec_ins | 1.0 | sp1 | / | / | / | / | / | / |
| a | siemens | sinec_ins | 1.0 | sp2 | / | / | / | / | / | / |
| a | siemens | sinec_ins | 1.0 | sp2_update_1 | / | / | / | / | / | / |
| a | siemens | sinec_ins | 1.0 | sp2_update_2 | / | / | / | / | / | / |
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: HIGH
- Scope: UNCHANGED
- Confidentiality Impact: NONE
- Integrity Impact: HIGH
- Availability Impact: NONE
CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:H/A:N
Timeline
Published: Nov. 12, 2024, 1:15 p.m.
Last Modified: Nov. 13, 2024, 11:13 p.m.
Last Modified: Nov. 13, 2024, 11:13 p.m.
Status : Analyzed
CVE has been marked for Analysis. Normally once in this state the CVE will be analyzed by NVD staff within 24 hours.
More infoSource
productcert@siemens.com
*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.