Aggregation queries can bypass authentication restrictions in @neo4j/graphql
CVSS score
8.7
EPSS probability
—
Risk score
0.9
Published
6 h ago
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Vulnerability description
DayBreach AI Explanation
Verified against sourcesSources read
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Source agreement
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Evidence confidence
%55
Short explanation
A missing authentication vulnerability for critical functions in aggregation queries within Neo4j @neo4j/graphql versions 5.0.0 before 5.12.17 and 7.0.0 before 7.6.8 allows remote attackers to read protected data via GraphQL aggregation queries.
This vulnerability allows unauthenticated callers to obtain aggregate results and read protected data, posing a significant risk to data confidentiality.
What should be done?
- Follow vendor advisories
- Update affected packages
- Review aggregation query authentication configurations
Chain of evidence and sources
@neo4j/graphql bileşenindeki toplama sorgularında kimlik doğrulama eksikliği bulunmaktadır.
Etkilenen sürümler 5.0.0 ile 5.12.17 arası ve 7.0.0 ile 7.6.8 arasındadır.
Show the technical text from the sources
Missing Authentication for Critical Function in aggregation queries in Neo4j @neo4j/graphql 5.0.0 before 5.12.17 and 7.0.0 before 7.6.8 allows remote attackers to read protected data via GraphQL aggregation queries. Field-level @authentication is not enforced on string aggregates, which can return stored values verbatim, and connection-root aggregates bypass an entity's AGGREGATE authentication requirement, allowing unauthenticated callers to obtain aggregate results.
CVSS vector: CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N
CWE: CWE-306
This explanation was compiled automatically from the source records. Scores, active exploitation, patch and exploit status come straight from the sources.
IMPACT: Affected Products and Software
Affected Products
The following products are affected by CVE-2026-92684 vulnerability. Where our threat engine knows the exact affected versions, they are listed below.
| ID | VENDOR | PRODUCT | ACTION |
|---|---|---|---|
| 1 | neo4j | @neo4j/graphql | View |
RED HAT CSAF/VEX: Product Impact Check
SCORING: CVSS from Multiple Sources
CVSS Scores
The Common Vulnerability Scoring System is a standardised framework for assessing the severity of vulnerabilities in software and systems. We collect and display CVSS scores from several sources for each CVE.
| SCORE | VERSION | SEVERITY | VECTOR | SOURCE |
|---|---|---|---|---|
| 8.7 | CVSS V4_0 | HIGH | CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N | CVE CNA |
| 8.7 | CVSS V40 | HIGH | CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N/E:X/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:X | NVD |
Patch and Remediation Guide
Solution & Remediation Advisory
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Public exploit and active exploitation status
Verified exploit intelligence
No verified public PoC, exploit repository or Metasploit module has been found for this CVE yet.
Weakness Classification and Attack Patterns (CWE & CAPEC)
CWE - Common Weakness Enumeration
While CVE identifies specific instances of vulnerabilities, CWE categorises the common flaws or weaknesses that can lead to vulnerabilities. CVE-2026-92684 is associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification (CAPEC) stores attack patterns, which are descriptions of the common attributes and approaches employed by adversaries to exploit the CVE-2026-92684 weaknesses.
Attack Vector and Accessibility
Official Sources and Advisories
Similar Vulnerabilities
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