Raw vector
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:XSummary
CVE-2025-15532 is a medium-severity Uncontrolled Resource Consumption (CWE-400) vulnerability in Open5Gs Open5Gs. Its CVSS base score is 5.5 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique OS Exhaustion Flood (T1499.001); ranked in the top 41% of CVEs by exploit likelihood; 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 SA-11 (Developer Testing and Evaluation) and SC-5 (Denial-of-service Protection) — 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-2025-15532 is a vulnerability in Open5GS versions up to and including 2.7.5, specifically affecting processing in the Timer Handler component. The flaw enables resource consumption through remote manipulation, classified under CWE-400 (Uncontrolled Resource Consumption) and CWE-404 (Improper Resource Shutdown or Release). It carries a CVSS v3.1 base score of 5.3 (AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L), indicating moderate severity with low availability impact but no confidentiality or integrity effects.
A remote, unauthenticated attacker can exploit this vulnerability over the network with low complexity and no user interaction required. Successful exploitation results in resource consumption on the affected system, potentially leading to denial-of-service conditions by exhausting resources in the Timer Handler.
Mitigation is available via the patch commit c7c131f8d2cb1195ada5e0e691b6868ebcd8a845 in the Open5GS GitHub repository. Security practitioners should apply this patch promptly, as an exploit has been publicly released and may be used in attacks. Related details are documented in Open5GS issues #4220 and #4221.
Notable context includes the public availability of the exploit, increasing the risk of real-world attacks against unpatched Open5GS deployments.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-3137
Vulnerability Data
A security flaw has been discovered in Open5GS up to 2.7.5. This issue affects some unknown processing of the component Timer Handler. The manipulation results in resource consumption. The attack may be performed from remote. The exploit has been released…
more
to the public and may be used for attacks. The patch is identified as c7c131f8d2cb1195ada5e0e691b6868ebcd8a845. It is best practice to apply a patch to resolve this issue.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation can discover missing or incorrect resource releases after code is written.
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.
Engineering principles can require explicit resource acquisition/release patterns that stop improper shutdown from being introduced.
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.
Secure SDLC practices directly include coding standards for correct resource allocation and release.
Continuous monitoring of computing resources can detect resource exhaustion but does not itself enforce allocation limits.
Lifecycle management of assets can encompass proper resource release at end-of-life or shutdown.
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.
Including restart, recovery and media-handling instructions reduces the likelihood that resources or sensitive data will be left in an exposed or improperly released state after a failure.