CVE-2025-69200 (GCVE-0-2025-69200)
Vulnerability from cvelistv5 – Published: 2025-12-29 15:24 – Updated: 2025-12-29 16:14Title
phpMyFAQ has unauthenticated config backup download via /api/setup/backup
Summary
phpMyFAQ is an open source FAQ web application. In versions prior to 4.0.16, an unauthenticated remote attacker can trigger generation of a configuration backup ZIP via `POST /api/setup/backup` and then download the generated ZIP from a web-accessible location. The ZIP contains sensitive configuration files (e.g., `database.php` with database credentials), leading to high-impact information disclosure and potential follow-on compromise. Version 4.0.16 fixes the issue.
Severity
7.5 (High)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-12-29 16:14 UTC
CWE
- CWE-202 - Exposure of Sensitive Information Through Data Queries
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/thorsten/phpMyFAQ/security/adv… | x_refsource_CONFIRM |
| https://github.com/thorsten/phpMyFAQ/commit/b0e99… | x_refsource_MISC |
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: c1dd2bbd-ca78-4248-a938-a6011e96ec72
Exploited: Yes
Timestamps
First Seen: 2026-01-25
Asserted: 2026-01-25
Scope
Notes: phpMyFAQ has unauthenticated config backup download via /api/setup/backup | Affected: Thorsten / phpMyFAQ | CVSS: 7.5 (HIGH) | EPSS: 0.02141 | Used in malware: unknown | Not yet in CISA KEV: True
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: previdian
Details
| Feed | Previdian (previdian.com) |
|---|---|
| Title | phpMyFAQ has unauthenticated config backup download via /api/setup/backup |
| Cve Id | CVE-2025-69200 |
| Vendor | Thorsten |
| Ghsa Id | GHSA-9CG9-4H4F-J6FG |
| Product | phpMyFAQ |
| Added Date | 2026-01-25T00:00:00.000Z |
| Cvss Score | 7.5 |
| Epss Score | 0.02141 |
| Previous Ids | |
| Cvss Severity | HIGH |
| Virtual Patch | False |
| Cvss Estimated | False |
| Epss Percentile | 0.81378 |
| Used In Malware | unknown |
| Vulnerability Id | CVE-2025-69200 |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | True |
References
Created: 2026-10-02 09:09 CEST
| Updated: 2026-10-02 09:09 CEST
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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