Cyber Resilience

CVE-2025-66594

Info Disclosure in Yokogawa Fast\/Tools r9.01 – r10.04

Published
09 February 2026
Modified
06 March 2026
Patch / advisory
CVSS Score v4 6.9
Click a component to see what it means
Raw vectorCVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
EPSS Score 0.0020 11th percentile
Risk Priority 35 floored blend · peak EPSS

Summary

CVE-2025-66594 is a medium-severity Generation of Error Message Containing Sensitive Information (CWE-209) vulnerability in Yokogawa Fast\/Tools. Its CVSS base score is 6.9 (Medium).

Operationally, exploitation aligns with the MITRE ATT&CK technique System Information Discovery (T1082); ranked at the 11th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

The strongest mitigations our analysis identified map to SI-11 (Error Handling) and SI-15 (Information Output Filtering) — see the control section below for these in your framework.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

A vulnerability has been found in FAST/TOOLS provided by Yokogawa Electric Corporation. Detailed messages are displayed on the error page. This information could be exploited by an attacker for other attacks. The affected products and versions are as follows: FAST/TOOLS…

more

(Packages: RVSVRN, UNSVRN, HMIWEB, FTEES, HMIMOB) R9.01 to R10.04

CWE(s)

Related Threats

MITRE ATT&CK Enterprise TechniquesAI

T1082 System Information Discovery Discovery
An adversary may attempt to get detailed information about the operating system and hardware, including version, patches, hotfixes, service packs, and architecture.
T1592.002 Software Reconnaissance
Adversaries may gather information about the victim's host software that can be used during targeting.
Why these techniques?

CWE-209 error message disclosure reveals system/software details usable for discovery on a public-facing web app (HMI).

Confidence: MEDIUM · MITRE ATT&CK Enterprise v19.0

CVEs Like This One

CVE-2025-66598Same product: Yokogawa Fast\/Tools
CVE-2025-66602Same product: Yokogawa Fast\/Tools
CVE-2025-66596Same product: Yokogawa Fast\/Tools
CVE-2025-66597Same product: Yokogawa Fast\/Tools
CVE-2025-66605Same product: Yokogawa Fast\/Tools
CVE-2025-66604Same product: Yokogawa Fast\/Tools
CVE-2025-66606Same product: Yokogawa Fast\/Tools
CVE-2025-66608Same product: Yokogawa Fast\/Tools
CVE-2025-66607Same product: Yokogawa Fast\/Tools
CVE-2025-66601Same product: Yokogawa Fast\/Tools

Affected Assets

yokogawa
fast\/tools
r9.01 — r10.04

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)
  • SI-11 Error Handling
  • SI-15 Information Output Filtering
Detect
Catch it (NIST detect / respond)
  • SI-4 System Monitoring
Harden
Shrink the surface (DISA STIG)

Validate
Prove the fix (OWASP ASVS)
  • V16.5.1

Mitigating Controls (NIST 800-53 r5) AI

prevent

Directly requires error messages to avoid revealing sensitive system details that enable further attacks (CWE-209).

prevent

Filters sensitive information from all system outputs, including error responses shown to users.

detect

Monitors for anomalous error generation patterns that could indicate probing for information leaks.

Mitigating Controls (NIST CSF 2.0) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.

PR.PS-06 mostly match
prevents

Secure SDLC practices directly require sanitized error handling to prevent sensitive data disclosure.

Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.

prevents

Secure coding standards explicitly forbid exposing sensitive data in errors.

detects

Security testing can detect error messages that leak sensitive information.

A.8.15 Logging partial match
degrades

Logging policy can require suppression of sensitive data in error messages.

prevents

Secure SDLC mandates error-handling rules that avoid leaking sensitive information.

prevents

Application security requirements can specify safe error messaging.

prevents

Secure architecture principles include proper exception handling.

References