CVE-2025-32036
Dnnsoftware Dotnetnuke ≤ 9.13.8
Raw vector
CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:L/I:L/A:NSummary
CVE-2025-32036 is a medium-severity Guessable CAPTCHA (CWE-804) vulnerability in Dnnsoftware Dotnetnuke. Its CVSS base score is 4.2 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Password Guessing (T1110.001); ranked at the 21th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-10381
Vulnerability Data
DNN (formerly DotNetNuke) is an open-source web content management platform (CMS) in the Microsoft ecosystem. The algorithm used to generate the captcha image shows the least complexity of the desired image. For this reason, the created image can be easily…
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read by OCR tools, and the intruder can send automatic requests by building a robot and using this tool. This vulnerability is fixed in 9.13.8.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
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.
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.
Security testing can detect weak CAPTCHA implementations before deployment.
Application security requirements mandate effective CAPTCHA challenges that cannot be easily bypassed by bots.
Secure coding practices ensure CAPTCHA logic is resistant to automated recognition or guessing attacks.
Strong authentication mechanisms include robust CAPTCHA implementations that resist automated guessing.