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CVE-2024-27020 Siemens CVE debrief

A data-race vulnerability in the Linux kernel's netfilter nf_tables subsystem, specifically in nft_expr_type_get(), affects Siemens SIMATIC S7-1500 TM MFP industrial control systems running the GNU/Linux subsystem. The vulnerability was resolved in the upstream Linux kernel. Siemens has not released a patch for the affected product; mitigation relies on access controls and trusted application practices.

Vendor
Siemens
Product
SIMATIC S7-1500 TM MFP - GNU/Linux subsystem
CVSS
MEDIUM 5.5
CISA KEV
Not listed in stored evidence
Original CVE published
2025-08-12
Original CVE updated
2026-02-25
Advisory published
2025-08-12
Advisory updated
2026-02-25

Who should care

Organizations operating Siemens SIMATIC S7-1500 TM MFP industrial control systems with the GNU/Linux subsystem enabled, particularly those in critical infrastructure sectors where high availability is required.

Technical summary

CVE-2024-27020 is a data-race condition in the nft_expr_type_get() function within the Linux kernel's netfilter nf_tables subsystem. The vulnerability was resolved in upstream Linux. Siemens SIMATIC S7-1500 TM MFP devices with the GNU/Linux subsystem are affected. The vulnerability has a CVSS 3.1 score of 5.5 (MEDIUM) with local attack vector, low attack complexity, low privileges required, and high availability impact. No confidentiality or integrity impact is indicated.

Defensive priority

medium

Recommended defensive actions

  • Limit access to the interactive shell of the GNU/Linux subsystem to trusted personnel only
  • Only build and run applications from trusted sources
  • Monitor for future vendor security advisories from Siemens for patch availability

Evidence notes

The vulnerability description and affected product information are derived from CISA CSAF advisory ICSA-24-102-01, which references Siemens security advisory SSA-265688. The CVE was published on 2024-04-09 and last modified on 2026-05-14. No fix is currently available from the vendor.

Sources and references

Verified primary and authoritative sources

  • CVE-2024-27020 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2024-27020

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

  • CVE-2024-27020 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2024-27020

    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-24-102-01.json

    cisa_csaf

  • Source reference

    Unverified legacy reference

    URL: https://cert-portal.siemens.com/productcert/csaf/ssa-265688.json

    Reference

  • Source reference

    Unverified legacy reference

    URL: https://cert-portal.siemens.com/productcert/html/ssa-265688.html

    Reference

  • Source reference

    Unverified legacy reference

    URL: https://www.cisa.gov/news-events/ics-advisories/icsa-24-102-01

    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.