CVE-2026-1173
Birkir Prime ≤ 0.4.0
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-2026-1173 is a medium-severity Improper Resource Shutdown or Release (CWE-404) vulnerability in Birkir Prime. Its CVSS base score is 5.5 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploitation for Privilege Escalation (T1068); 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 SA-8 (Security and Privacy Engineering Principles) — 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-2026-1173 is a denial-of-service vulnerability affecting birkir prime versions up to 0.4.0.beta.0. The issue resides in an unknown function within the /graphql file of the GraphQL Array Based Query Batch Handler component. Classified under 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 medium severity with low-impact availability disruption but no confidentiality or integrity effects.
The vulnerability can be exploited remotely by unauthenticated attackers with network access and no user interaction required. Successful manipulation triggers a denial of service, potentially disrupting service availability for affected instances.
Advisories from VulDB (ctiid.341767, id.341767) and the project's GitHub issue #544 document the flaw, noting that an exploit has been made public and could be used. The project was informed early via the issue report but has not responded or issued patches as of the CVE publication on 2026-01-19.
Notable context includes the public availability of the exploit and lack of vendor response, increasing risk for deployments using vulnerable versions of birkir prime.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-3200
Vulnerability Data
A vulnerability was found in birkir prime up to 0.4.0.beta.0. The impacted element is an unknown function of the file /graphql of the component GraphQL Array Based Query Batch Handler. The manipulation results in denial of service. The attack can…
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be executed remotely. The exploit has been made public and could be used. 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.
Engineering principles can require explicit resource acquisition/release patterns that stop improper shutdown from being introduced.
Priority-based resource allocation limits the blast radius when released resources are not returned to the pool.
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.
Secure SDLC practices directly include coding standards for correct resource allocation and release.
Runtime monitoring can detect resource exhaustion caused by improper shutdown or release.
Lifecycle management of assets can encompass proper resource release at end-of-life or shutdown.
Capacity management helps surface leaks from unreleased resources but does not prevent the coding flaw.
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.
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.