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PatchSiren cyber security CVE debrief

CVE-2024-11787 Fuji Electric CVE debrief

A stack-based buffer overflow vulnerability in Fuji Electric Monitouch V-SFT allows remote attackers to execute arbitrary code when a user opens a malicious V10 file. The flaw stems from insufficient validation of user-supplied data length before copying to a stack buffer. This vulnerability requires user interaction and results in code execution within the current process context.

Vendor
Fuji Electric
Product
Monitouch V-SFT
CVSS
HIGH 7.8
CISA KEV
Not listed in stored evidence
Original CVE published
2024-12-03
Original CVE updated
2025-05-06
Advisory published
2024-12-03
Advisory updated
2025-05-06

Who should care

Industrial operators using Fuji Electric Monitouch V-SFT for HMI/SCADA applications; OT security teams; asset owners in manufacturing, energy, and critical infrastructure sectors

Technical summary

The vulnerability exists in the V10 file parsing component of Monitouch V-SFT. When processing a crafted V10 file, the application fails to validate the length of user-supplied data before copying it to a stack-based buffer. This classic stack buffer overflow condition allows an attacker to overwrite the return address and achieve arbitrary code execution in the context of the current process. The attack vector requires local access (AV:L) with user interaction (UI:R) to open the malicious file.

Defensive priority

HIGH

Recommended defensive actions

  • Upgrade Fuji Electric Monitouch V-SFT to version 6.2.6.0 or later, released April 2025
  • Implement application whitelisting to prevent execution of untrusted V10 files
  • Train operators to avoid opening V10 files from untrusted sources
  • Apply defense-in-depth strategies for industrial control systems per CISA guidance
  • Segment OT networks to limit lateral movement if compromise occurs

Evidence notes

CISA published advisory ICSA-24-338-05 on 2024-12-03 with initial disclosure. Update A was released on 2025-04-24 adding version 6.2.6.0 to mitigations. A revision on 2025-05-06 corrected typos.

Sources and references

Verified primary and authoritative sources

  • CVE-2024-11787 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2024-11787

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

  • CVE-2024-11787 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2024-11787

    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-24-338-05.json

    cisa_csaf

  • Source reference

    Unverified legacy reference

    URL: https://www.cisa.gov/news-events/ics-advisories/icsa-24-338-05

    Reference

  • Source reference

    Unverified legacy reference

    URL: https://www.cisa.gov/uscert/sites/default/files/publications/emailscams0905.pdf

    Reference

  • Source reference

    Unverified legacy reference

    URL: https://www.cisa.gov/uscert/ncas/tips/ST04-014

    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/sites/default/files/publications/Cybersecurity_Best_Practices_for_Industrial_Control_Systems.pdf

    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/uscert/ics/alerts/ICS-ALERT-10-301-01

    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.