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-2026-1174 is a medium-severity Uncontrolled Resource Consumption (CWE-400) vulnerability in Birkir Prime. Its CVSS base score is 5.5 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique OS Exhaustion Flood (T1499.001); ranked at the 49th 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 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-2026-1174 is a vulnerability in the birkir prime project, affecting versions up to 0.4.0.beta.0. It targets an unknown function within the /graphql endpoint of the GraphQL Alias Handler component, enabling resource consumption. Classified under CWE-400 (Uncontrolled Resource Consumption) and CWE-404, the issue has 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 medium severity with low impact on availability but no effects on confidentiality or integrity.
Remote attackers require no privileges, authentication, or user interaction to exploit this vulnerability over the network with low complexity. Successful exploitation results in partial denial of service through resource exhaustion, disrupting service availability for affected instances.
Advisories from VulDB note that the project was informed early via GitHub issue #545 but has not responded or released patches. The primary references include the birkir prime GitHub repository and VulDB entries detailing the issue (ctiid.341768, id.341768, submit.731105), with no mitigation guidance provided beyond awareness.
The exploit has been publicly disclosed and may be utilized, increasing the risk for unpatched deployments.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-3196
Vulnerability Data
A vulnerability was determined in birkir prime up to 0.4.0.beta.0. This affects an unknown function of the file /graphql of the component GraphQL Alias Handler. This manipulation causes resource consumption. The attack is possible to be carried out remotely. The…
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exploit has been publicly disclosed and may be utilized. The project was informed of the problem early through an issue report but has not responded yet.
- 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.