CVE-2019-9640 Festo Didactic SE CVE debrief

Who should care

Teams responsible for Festo Didactic SE MES PC deployments, especially OT/IT administrators managing the bundled PHP/XAMPP stack or systems that rely on the vendor’s replacement software path.

Technical summary

The source description says PHP before 7.1.27, 7.2.x before 7.2.16, and 7.3.x before 7.3.3 contain an invalid read in exif_process_SOFn within the EXIF component. The linked CVSS vector is CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N, so the issue is network-reachable, requires no privileges or user interaction, and is scored for confidentiality impact.

Defensive priority

High. The flaw is remotely reachable and has no auth or user-interaction barrier, so affected MES PC deployments should be reviewed and updated promptly, even though the source corpus does not show KEV listing or active exploitation.

Recommended defensive actions

• Verify whether any MES PC systems are using the affected PHP/XAMPP-based component set referenced in the advisory.
• Obtain the current Factory Control Panel replacement from Festo technical support as directed in the remediation entry.
• Replace or update affected MES PC installations before returning them to service; account for the source note that a vulnerable-component restart may be required.
• Use the linked CISA ICS recommended practices to reduce exposure and strengthen segmentation, access control, and monitoring around OT systems.
• Cross-check the vendor and CISA advisories to confirm the exact remediation scope for your installed MES PC version.

Evidence notes

The source item is CISA advisory ICSA-26-027-02 for Festo Didactic SE MES PC and explicitly describes CVE-2019-9640 as an invalid read in PHP’s EXIF component. The remediation entry says Festo released Factory Control Panel as a replacement for XAMPP on MES PCs and instructs customers to contact [email protected] for the current version. The resource list also includes a CWE-125 reference and the CVSS 3.1 vector CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N.

Sources and references

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.