CVE-2025-53531
Published: 07 July 2025
Summary
CVE-2025-53531 is a high-severity Allocation of Resources Without Limits or Throttling (CWE-770) vulnerability in Wegia Wegia. Its CVSS base score is 8.7 (High).
Operationally, ranked in the top 36.6% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-20285
Vulnerability details
WeGIA is a web manager for charitable institutions. The Wegia server has a vulnerability that allows excessively long HTTP GET requests to a specific URL. This issue arises from the lack of validation for the length of the fid parameter.…
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Tests confirmed that the server processes URLs up to 8,142 characters, resulting in high resource consumption, elevated latency, timeouts, and read errors. This makes the server susceptible to Denial of Service (DoS) attacks. This vulnerability is fixed in 3.3.0.
- 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.
This control implements explicit throttling on session allocation, addressing the weakness of allocating resources without limits.
Plan testing exercises resource allocation limits and throttling during simulated failures, directly addressing weaknesses that allow unbounded resource use.
Contingency plan updates ensure recovery strategies address unbounded resource allocation, making it harder for attackers to exploit lack of throttling to cause prolonged outages.
Provides continuity when unbounded resource allocation at the primary site leads to exhaustion and downtime.
Alternate services allow operations to continue when primary allocation of resources lacks limits or throttling.
Explicit planning of security-related actions requires defining limits, windows, and resource allocations, making allocation without throttling far less likely.
Measures of performance include tracking allocation behavior and throttling effectiveness, reducing the window for resource exhaustion attacks.
Imposes an inactivity-based limit on network resource allocation, throttling the number of concurrently held connections.