CVE-2020-10539
Published: 05 February 2021
Summary
CVE-2020-10539 is a critical-severity Improper Authentication (CWE-287) vulnerability in Epikur Epikur. Its CVSS base score is 9.8 (Critical).
Operationally, ranked in the top 40.3% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
This vulnerability is AI-related — categorised as Other AI Platforms.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2020-2992
Vulnerability details
An issue was discovered in Epikur before 20.1.1. The Epikur server contains the checkPasswort() function that, upon user login, checks the submitted password against the user password's MD5 hash stored in the database. It is also compared to a second…
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MD5 hash, which is the same for every user (aka a "Backdoor Password" of 3p1kursupport). If the submitted password matches either one, access is granted.
- CWE(s)
AI Security AnalysisAI
- AI Category
- Other AI Platforms
- Risk Domain
- N/A
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- Matched keywords: backdoor
Related Threats
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.
Detects unauthorized successful logons resulting from improper authentication implementations.
Documented procedures ensure personnel are trained on authentication mechanisms, tangibly lowering the risk of improper authentication being exploited.
Security awareness training instructs users on secure authentication practices and avoiding credential compromise.
Training on authentication mechanisms and best practices decreases the occurrence of improper authentication.
Non-repudiation requires strong authentication mechanisms to irrefutably attribute performed actions to specific individuals or processes.
Session content review can reveal authentication bypasses or failures in session establishment.
Review of authentication-related audit records can detect improper authentication mechanisms or bypasses.
Assessments check authentication mechanisms for correct implementation and effectiveness, reducing successful authentication bypass attempts.