CVE-2024-12778
Published: 20 March 2025
Summary
CVE-2024-12778 is a high-severity Allocation of Resources Without Limits or Throttling (CWE-770) vulnerability in Aimstack Aim. Its CVSS base score is 7.5 (High).
Operationally, ranked in the top 37.3% 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-2025-6995
Vulnerability details
A vulnerability in aimhubio/aim version 3.25.0 allows for a denial of service (DoS) attack. The issue arises when a large number of tracked metrics are retrieved simultaneously from the Aim web API, causing the web server to become unresponsive. The…
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root cause is the lack of a limit on the number of metrics that can be requested per call, combined with the server's single-threaded nature, leading to excessive resource consumption and blocking of the server.
- 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.