PatchSiren cyber security CVE debrief
CVE-2022-36323 Siemens CVE debrief
CVE-2022-36323 is a critical input-sanitization issue in multiple Siemens SCALANCE wireless devices. According to the advisory corpus, an authenticated remote attacker with administrative privileges could inject code or spawn a system root shell, making compromise of the device highly consequential.
- Vendor
- Siemens
- Product
- SCALANCE W721-1 RJ45 (6GK5721-1FC00-0AA0)
- CVSS
- CRITICAL 9.1
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-04-14
- Original CVE updated
- 2026-04-21
- Advisory published
- 2026-04-14
- Advisory updated
- 2026-04-21
Who should care
Organizations using the affected Siemens SCALANCE W-series devices, especially teams responsible for OT network security, remote administration, and firmware management, should treat this as high priority.
Technical summary
The supplied advisory describes an improper sanitization of an input field in multiple SCALANCE models. The impact is code injection or root-level shell access, but the attack requires network access and administrative privileges (CVSS v3.1: AV:N/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:H, 9.1).
Defensive priority
High. Even though administrative privileges are required, successful exploitation can yield root-level control of an affected industrial device. Prioritize any exposed or remotely managed SCALANCE systems and confirm they are on a fixed release.
Recommended defensive actions
- Update affected devices to V6.6.0 or later, as directed by the vendor advisory.
- Inventory SCALANCE devices and verify whether any listed models are deployed in your environment.
- Restrict and monitor administrative access to device management interfaces.
- Review OT segmentation and limit network paths to device administration services.
- Use the Siemens advisory and CISA advisory references to confirm model-specific remediation steps and deployment guidance.
Evidence notes
This debrief is based on the supplied CISA CSAF advisory (ICSA-26-111-07) republishing Siemens ProductCERT SSA-019200 and the linked Siemens/CISA references. The corpus states the vulnerability is caused by improper input sanitization and can allow an authenticated remote attacker with administrative privileges to inject code or spawn a system root shell. The remediation listed in the corpus is to update to V6.6.0 or later. No KEV listing was provided in the source corpus.
Sources and references
Verified primary and authoritative sources
-
CVE-2022-36323 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2022-36323
CVE Program - Official CVE Program record with source-provided CVE metadata.
-
CVE-2022-36323 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2022-36323
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
-
Source item URL
Unverified legacy reference
URL: https://raw.githubusercontent.com/cisagov/CSAF/develop/csaf_files/OT/white/2026/icsa-26-111-07.json
cisa_csaf
-
Source reference
Unverified legacy reference
URL: https://cert-portal.siemens.com/productcert/csaf/ssa-019200.json
Reference
-
Source reference
Unverified legacy reference
URL: https://cert-portal.siemens.com/productcert/html/ssa-019200.html
Reference
-
Source reference
Unverified legacy reference
URL: https://www.cisa.gov/news-events/ics-advisories/icsa-26-111-07
Reference
-
Source reference
Unverified legacy reference
URL: https://www.cisa.gov/news-events/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
-
Source reference
Unverified legacy reference
URL: https://www.cisa.gov/topics/industrial-control-systems
Reference
-
Source reference
Unverified legacy reference
URL: https://www.cisa.gov/sites/default/files/recommended_practices/NCCIC_ICS-CERT_Defense_in_Depth_2016_S508C.pdf
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.