Cyber Resilience

CVE-2025-41076

Info Disclosure in Limesurvey 6.13.0

Published
20 November 2025
Modified
21 November 2025
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 0.0026 17th percentile
Risk Priority 40 floored blend · peak EPSS

Summary

CVE-2025-41076 is a medium-severity Generation of Error Message Containing Sensitive Information (CWE-209) vulnerability in Limesurvey Limesurvey. Its CVSS base score is 6.9 (Medium).

Operationally, exploitation aligns with the MITRE ATT&CK technique Software (T1592.002); ranked at the 17th 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) — see the control section below for these in your framework.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

In version 6.13.0 of LimeSurvey, any external user can cause a 500 error in the survey system by sending a malformed session cookie. Instead of displaying a generic error message, the system exposes internal backend information, including the use of…

more

the Yii framework, the MySQL/MariaDB database engine, the table name 'lime_sessions', primary keys, and fragments of the content that caused the conflict. This information can simplify the collection of data about the internal architecture of the application by an attacker.

CWE(s)

Related Threats

MITRE ATT&CK Enterprise Techniques

T1592.002 Software Reconnaissance
Adversaries may gather information about the victim's host software that can be used during targeting.
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 Gather Victim Host Information Reconnaissance
Adversaries may gather information about the victim's hosts that can be used during targeting.
T1595 Active Scanning Reconnaissance
Adversaries may execute active reconnaissance scans to gather information that can be used during targeting.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2024-7887Same product: Limesurvey Limesurvey
CVE-2024-42901Same product: Limesurvey Limesurvey
CVE-2025-70797Same product: Limesurvey Limesurvey
CVE-2020-11455Same product: Limesurvey Limesurvey
CVE-2024-6933Same product: Limesurvey Limesurvey
CVE-2024-42903Same product: Limesurvey Limesurvey
CVE-2025-41074Same product: Limesurvey Limesurvey
CVE-2025-56422Same product: Limesurvey Limesurvey
CVE-2025-56421Same product: Limesurvey Limesurvey
CVE-2024-24506Same product: Limesurvey Limesurvey

Affected Assets

limesurvey
limesurvey
6.13.0

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)
  • V16.5.1

Mitigating Controls (NIST 800-53 r5) AI

si-11 directly requires error messages to avoid revealing exploitable information about the system or its data.

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.

finds

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