Cyber Resilience

CVE-2025-30197

Jenkins Zoho Qengine ≤ 1.0.29.vfa_cc23396502

Published
19 March 2025
Modified
10 October 2025
Patch / advisory
View advisory
CVSS Score v3.1 3.1
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:L/I:N/A:N
EPSS Score 0.0026 18th percentile
Risk Priority 27 floored blend · peak EPSS

Summary

CVE-2025-30197 is a low-severity Missing Password Field Masking (CWE-549) vulnerability in Jenkins Zoho Qengine. Its CVSS base score is 3.1 (Low).

Operationally, exploitation aligns with the MITRE ATT&CK technique Input Capture (T1056); ranked at the 18th 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 IA-6 (Authentication Feedback) — see the control section below for these in your framework.

EU & UK References

Vulnerability Data

Jenkins Zoho QEngine Plugin 1.0.29.vfa_cc23396502 and earlier does not mask the QEngine API Key form field, increasing the potential for attackers to observe and capture it.

CWE(s)
CWE-549

Related Threats

MITRE ATT&CK Enterprise Techniques

T1056 Input Capture Collection
Adversaries may use methods of capturing user input to obtain credentials or collect information.
attack.mitre.org →
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2025-31727Same vendor: Jenkins
CVE-2025-31728Same vendor: Jenkins
CVE-2025-64170Shared CWE-549
CVE-2025-42904Shared CWE-549
CVE-2026-3314Shared CWE-549
CVE-2025-0148Shared CWE-549
CVE-2025-13175Shared CWE-549
CVE-2024-10122Shared CWE-549
CVE-2026-48923Same vendor: Jenkins
CVE-2023-50766Same vendor: Jenkins

Affected Assets

jenkins
zoho qengine
≤ 1.0.29.vfa_cc23396502

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)

—

Detect
Catch it (NIST detect / respond)

—

Harden
Shrink the surface (DISA STIG)

—

Validate
Prove the fix (OWASP ASVS)
  • V6.2.6

Mitigating Controls (NIST 800-53 r5) AI

IA-6 Authentication Feedback good match

IA-6 directly requires obscuring authentication feedback such as password entry, structurally eliminating the exposure described by CWE-549.

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 proper UI controls such as password masking to prevent observation.

PR.AA-03 partial match
prevents

Authentication policies cover password handling but the subcategory focuses on credential strength and MFA rather than entry-time masking.

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.

A.8.11 Data masking mostly match
prevents

Data masking directly addresses hiding sensitive values such as passwords on user interfaces.

A.8.28 Secure coding partial match
prevents

Secure coding practices would include implementing password masking, but the control is broader than this single weakness.

A.8.5 Secure authentication partial match
degrades

Secure authentication explicitly requires masking of authentication secrets during entry.

References