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PatchSiren cyber security CVE debrief

CVE-2024-32065 Siemens CVE debrief

CVE-2024-32065 is a high-severity out-of-bounds read vulnerability in Siemens Simcenter Femap, published on July 9, 2024. The flaw occurs when parsing specially crafted IGS (Initial Graphics Exchange Specification) files, allowing an attacker to execute arbitrary code in the context of the current process. The vulnerability was reported through the Zero Day Initiative (ZDI-CAN-21577) and affects Simcenter Femap versions prior to V2406. The CVSS 3.1 score of 7.8 reflects high impacts to confidentiality, integrity, and availability, with a local attack vector requiring user interaction. Siemens has released a vendor fix in V2406 or later versions.

Vendor
Siemens
Product
Simcenter Femap
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

Engineering teams using Simcenter Femap for finite element analysis and CAD preprocessing, particularly in aerospace, automotive, and manufacturing sectors where IGS file exchange is common. Security teams responsible for OT/ICS environments and software asset management should prioritize patching.

Technical summary

The vulnerability stems from an out-of-bounds read past the end of an allocated structure during IGS file parsing in Simcenter Femap. This memory safety defect can be triggered by a malformed IGS file and may lead to arbitrary code execution within the process context. The attack requires local access and user interaction (opening a malicious file), with no privileges required. The fix in V2406 addresses the parsing logic to prevent the out-of-bounds access.

Defensive priority

HIGH

Recommended defensive actions

  • Update Simcenter Femap to V2406 or later version
  • Avoid opening untrusted IGS files in affected applications
  • Avoid opening untrusted IGS, BDF, or BMP files using Simcenter Femap
  • Apply defense-in-depth practices for industrial control systems per CISA guidance

Evidence notes

Vulnerability disclosed via CISA ICS advisory ICSA-24-193-04 and Siemens security advisory SSA-064222. Confirmed by CSAF product tree with high confidence. No known exploitation in the wild; not listed in CISA KEV catalog.

Sources and references

Verified primary and authoritative sources

  • CVE-2024-32065 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2024-32065

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

  • CVE-2024-32065 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2024-32065

    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-24-193-04.json

    cisa_csaf

  • Source reference

    Unverified legacy reference

    URL: https://cert-portal.siemens.com/productcert/csaf/ssa-064222.json

    Reference

  • Source reference

    Unverified legacy reference

    URL: https://cert-portal.siemens.com/productcert/html/ssa-064222.html

    Reference

  • Source reference

    Unverified legacy reference

    URL: https://cert-portal.siemens.com/productcert/pdf/ssa-064222.pdf

    Reference

  • Source reference

    Unverified legacy reference

    URL: https://cert-portal.siemens.com/productcert/txt/ssa-064222.txt

    Reference

  • Source reference

    Unverified legacy reference

    URL: https://www.cisa.gov/news-events/ics-advisories/icsa-24-193-04

    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.