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CVE-2024-33491 Siemens CVE debrief

CVE-2024-33491 is a high-severity out-of-bounds read vulnerability in Siemens Solid Edge, published on May 14, 2024. The flaw occurs when parsing specially crafted PAR (part) files, allowing an attacker to execute arbitrary code in the context of the current process. The vulnerability stems from reading past the end of an allocated structure during PAR file parsing. With a CVSS 3.1 score of 7.8 (HIGH), this represents a significant risk to engineering workstations where Solid Edge is deployed. The attack vector is local, requiring user interaction to open a malicious file, but successful exploitation grants high impact across confidentiality, integrity, and availability. Siemens has released a vendor fix in V224.0 Update 5 or later versions. CISA and Siemens both recommend updating immediately and avoiding untrusted PAR files as an interim mitigation.

Vendor
Siemens
Product
Solid Edge
CVSS
HIGH 7.8
CISA KEV
Not listed in stored evidence
Original CVE published
2024-05-14
Original CVE updated
2024-05-14
Advisory published
2024-05-14
Advisory updated
2024-05-14

Who should care

Organizations using Siemens Solid Edge for CAD/CAM/CAE operations, particularly in manufacturing, aerospace, automotive, and industrial design sectors. Security teams responsible for engineering workstation protection and supply chain security for design files.

Technical summary

Out-of-bounds read vulnerability in Siemens Solid Edge when parsing PAR files. Local attack vector requires user interaction. Fixed in V224.0 Update 5.

Defensive priority

HIGH

Recommended defensive actions

  • Update Siemens Solid Edge to V224.0 Update 5 or later version immediately
  • Implement application whitelisting to prevent execution of untrusted Solid Edge instances
  • Train users to avoid opening PAR files from untrusted sources
  • Consider network segmentation for engineering workstations running Solid Edge
  • Monitor for suspicious PAR file attachments in email and file sharing systems

Evidence notes

Vulnerability description and remediation guidance sourced from CISA CSAF advisory ICSA-24-137-09 and Siemens security advisory SSA-589937. CVSS vector confirms local attack vector with user interaction required. Vendor fix version explicitly stated as V224.0 Update 5 or later.

Sources and references

Verified primary and authoritative sources

  • CVE-2024-33491 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2024-33491

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2024-33491 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2024-33491

    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/2024/icsa-24-137-09.json

    cisa_csaf

  • Source reference

    Unverified legacy reference

    URL: https://cert-portal.siemens.com/productcert/csaf/ssa-589937.json

    Reference

  • Source reference

    Unverified legacy reference

    URL: https://cert-portal.siemens.com/productcert/html/ssa-589937.html

    Reference

  • Source reference

    Unverified legacy reference

    URL: https://cert-portal.siemens.com/productcert/pdf/ssa-589937.pdf

    Reference

  • Source reference

    Unverified legacy reference

    URL: https://cert-portal.siemens.com/productcert/txt/ssa-589937.txt

    Reference

  • Source reference

    Unverified legacy reference

    URL: https://www.cisa.gov/news-events/ics-advisories/icsa-24-137-09

    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.