CVE-2025-22273
Published: 28 February 2025
Summary
CVE-2025-22273 is a critical-severity Allocation of Resources Without Limits or Throttling (CWE-770) vulnerability. Its CVSS base score is 9.3 (Critical).
Operationally, ranked at the 38.2th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-5961
- 🇵🇱 CERT-PL: cert.pl
- 🇵🇱 CERT-PL: cert.pl
Vulnerability details
Application does not limit the number or frequency of user interactions, such as the number of incoming requests. At the "/EPMUI/VfManager.asmx/ChangePassword" endpoint it is possible to perform a brute force attack on the current password in use. This issue affects…
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CyberArk Endpoint Privilege Manager in SaaS version 24.7.1. The status of other versions is unknown. After multiple attempts to contact the vendor we did not receive any answer.
- 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.