PatchSiren cyber security CVE debrief
CVE-2022-32260 Siemens CVE debrief
CVE-2022-32260 is a medium-severity authentication bypass vulnerability in Siemens SINEMA Remote Connect Server. The affected application generates temporary user credentials for UMC (User Management Component) users, which an attacker could leverage to bypass authentication under certain conditions. The vulnerability was published on July 9, 2024, with a CVSS 3.1 score of 6.5. Siemens has released a vendor fix in version V3.2 SP1 or later. Organizations should prioritize updating affected systems and review access controls for UMC user accounts.
- Vendor
- Siemens
- Product
- SINEMA Remote Connect Server
- CVSS
- MEDIUM 6.5
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2024-07-09
- Original CVE updated
- 2024-07-09
- Advisory published
- 2024-07-09
- Advisory updated
- 2024-07-09
Who should care
Organizations operating Siemens SINEMA Remote Connect Server for remote access to industrial control systems, OT security teams, critical infrastructure operators, and asset owners managing distributed industrial environments.
Technical summary
The vulnerability exists in the User Management Component (UMC) of SINEMA Remote Connect Server, where temporary user credentials are created and may be exploitable by attackers to achieve authentication bypass. The CVSS 3.1 vector (AV:L/AC:L/PR:H/UI:R/S:U/C:H/I:H/A:H) indicates a local attack vector requiring high privileges but with high impact potential. Exploitation has been assessed as proof-of-concept with an official fix available. The remediation requires updating to V3.2 SP1 or later versions.
Defensive priority
medium
Recommended defensive actions
- Update Siemens SINEMA Remote Connect Server to version V3.2 SP1 or later per vendor guidance
- Review and audit UMC user accounts for unauthorized temporary credential usage
- Implement network segmentation to limit access to SINEMA Remote Connect Server management interfaces
- Apply defense-in-depth strategies for industrial control systems per CISA recommended practices
- Monitor authentication logs for anomalous UMC credential usage patterns
Evidence notes
Vulnerability description and remediation guidance sourced from CISA CSAF advisory ICSA-24-193-01 and Siemens product security advisory SSA-381581. CVSS vector indicates local attack vector with high privileges required, but successful exploitation yields high impact on confidentiality, integrity, and availability.
Sources and references
Verified primary and authoritative sources
-
CVE-2022-32260 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2022-32260
CVE Program - Official CVE Program record with source-provided CVE metadata.
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CVE-2022-32260 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2022-32260
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
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Source item URL
Unverified legacy reference
URL: https://raw.githubusercontent.com/cisagov/CSAF/develop/csaf_files/OT/white/2024/icsa-24-193-01.json
cisa_csaf
-
Source reference
Unverified legacy reference
URL: https://cert-portal.siemens.com/productcert/csaf/ssa-381581.json
Reference
-
Source reference
Unverified legacy reference
URL: https://cert-portal.siemens.com/productcert/html/ssa-381581.html
Reference
-
Source reference
Unverified legacy reference
URL: https://cert-portal.siemens.com/productcert/pdf/ssa-381581.pdf
Reference
-
Source reference
Unverified legacy reference
URL: https://cert-portal.siemens.com/productcert/txt/ssa-381581.txt
Reference
-
Source reference
Unverified legacy reference
URL: https://www.cisa.gov/news-events/ics-advisories/icsa-24-193-01
Reference
-
Source reference
Unverified legacy reference
URL: https://www.cisa.gov/uscert/ics/alerts/ICS-ALERT-10-301-01
Reference
-
Source reference
Unverified legacy reference
URL: https://www.cisa.gov/resources-tools/resources/ics-recommended-practices
Reference
Methodology and review provenance
AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.