Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:HSummary
CVE-2025-69654 is a high-severity Uncontrolled Resource Consumption (CWE-400) vulnerability in Quickjs Project Quickjs. Its CVSS base score is 7.5 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique OS Exhaustion Flood (T1499.001); ranked at the 21th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
The strongest mitigations our analysis identified map to SC-5 (Denial-of-service Protection) and SC-6 (Resource Availability) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
CVE-2025-69654 is a denial-of-service vulnerability in the QuickJS JavaScript engine, specifically affecting the `qjs` interpreter from the release dated 2025-09-13. The issue arises when executing a crafted JavaScript input under the `-m` option with a low memory limit, triggering an out-of-memory condition. This leads to an assertion failure in the `JS_FreeRuntime` function during runtime cleanup, where the garbage collection object list (`rt->gc_obj_list`) is not fully released despite an OOM error being reported, resulting in a process abort via SIGABRT. The vulnerability is classified under CWE-400 (Uncontrolled Resource Consumption) with a CVSS v3.1 base score of 7.5 (AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H).
Attackers can exploit this vulnerability remotely over a network with low complexity and no privileges or user interaction required. Any unauthenticated adversary capable of supplying malicious JavaScript input to a targeted `qjs` instance configured with the `-m` flag and a constrained memory limit can trigger the condition. Successful exploitation causes the interpreter to crash, denying service to legitimate users or processes relying on the engine.
The vulnerability was fixed in QuickJS commit fcd33c1afa7b3028531f53cd1190a3877454f6b3, released on 2025-12-11. Additional details are documented in the project's GitHub issue tracker at https://github.com/bellard/quickjs/issues/468, where security practitioners can review the root cause analysis and patch for deployment.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-208350
Vulnerability Data
A crafted JavaScript input executed with the QuickJS release 2025-09-13, fixed in commit fcd33c1afa7b3028531f53cd1190a3877454f6b3 (2025-12-11),`qjs` interpreter using the `-m` option and a low memory limit can cause an out-of-memory condition followed by an assertion failure in JS_FreeRuntime (list_empty(&rt->gc_obj_list)) during runtime…
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cleanup. Although the engine reports an OOM error, it subsequently aborts with SIGABRT because the GC object list is not fully released. This results in a denial of service.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Mitigating Controls (NIST 800-53 r5) AI
SC-5 directly limits the effects of resource-exhaustion events that constitute uncontrolled consumption.
SC-6 enforces explicit allocation limits on resources, structurally preventing the weakness from occurring.
Process isolation confines resource consumption to separate domains, reducing blast radius without stopping the root flaw.
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.
Explicitly requires monitoring and maintaining resource capacity, directly addressing uncontrolled consumption to preserve availability.
Continuous monitoring of computing resources can detect resource exhaustion but does not itself enforce allocation limits.
Resilience mechanisms such as avoiding single points of failure indirectly reduce impact of resource exhaustion.
Hardened configuration baselines can include resource quotas and limits that constrain consumption.
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.
Resource-utilization monitoring and alerting on bottlenecks or overloads limits the impact of denial-of-service or resource-exhaustion attacks.
By continuously monitoring utilization, stress-testing peak loads, and maintaining documented plans to scale or throttle resources, the control directly limits an attacker’s ability to drive a system into uncontrolled resource exhaustion.
Pre-agreed severity-based prioritization and resource allocation during incident triage reduce the likelihood that an attacker-induced resource exhaustion will overwhelm the organization before corrective action is taken.
Business-continuity plans that include resource-management controls reduce the likelihood that an attacker can trigger uncontrolled resource consumption by forcing the system into a degraded or fallback state.
Defining RTOs and capacity requirements for ICT services during business-impact analysis forces organizations to provision sufficient resources and throttling mechanisms, reducing the likelihood that an attacker can induce denial-of-service through uncontrolled resource consumption.
Early notification of anomalous resource consumption or system malfunctions enables throttling or isolation before availability is lost.