CVE-2025-34441
Published: 17 December 2025
Summary
CVE-2025-34441 is a medium-severity Exposure of Private Personal Information to an Unauthorized Actor (CWE-359) vulnerability in Wwbn Avideo. Its CVSS base score is 6.9 (Medium).
Operationally, ranked in the top 2.5% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
Deeper analysis
AVideo versions prior to 20.1 contain an information disclosure vulnerability tracked as CVE-2025-34441 and CWE-359. An unauthenticated public API endpoint returns sensitive user data including email addresses, usernames, administrative status flags, and timestamps of last login activity.
Unauthenticated remote attackers can directly query the endpoint to enumerate valid user accounts and harvest personal details without any authentication or user interaction. This enables targeted follow-on attacks such as phishing campaigns or privilege escalation attempts against identified administrators.
Public references point to remediation in AVideo 20.1, with specific fixes applied in commits 1416c517e2 and 4a53ab2056 on the upstream GitHub repository; the VulnCheck advisory and independent analysis at chocapikk.com both recommend upgrading to close the exposed endpoint.
The associated EPSS score rose from a low baseline to a peak of 0.4749 before settling at the current value of 0.4080, indicating that exploitation interest increased after public disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-203938
Vulnerability details
AVideo versions prior to 20.1 expose sensitive user information through an unauthenticated public API endpoint. Responses include emails, usernames, administrative status, and last login times, enabling user enumeration and privacy violations.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Automated marking identifies private personal information in outputs, tangibly reducing the ability to exploit weaknesses that result in its unauthorized exposure.
Privacy-specific attributes and their controlled association directly reduce exposure of private personal information through missing or incorrect labeling.
Preventing nonpublic personal information from public posting reduces unauthorized exposure of private personal data.
The control detects and protects against mining of private personal information, reducing unauthorized exposure of PII.
Privacy literacy training directly targets preventing exposure of personal information through user mishandling.
Tracking locations of sensitive data and access users reduces risk of private personal information exposure.
PIA explicitly identifies PII collection/use/disclosure flows and drives mitigations that reduce the likelihood of unauthorized exposure of private personal information.
The control specifically requires architectures that minimize privacy risk when processing PII, directly addressing exposure of personal information.