CVE-2026-23735 (GCVE-0-2026-23735)
Vulnerability from cvelistv5 – Published: 2026-01-16 20:04 – Updated: 2026-01-16 20:28
VLAI
EPSS
VEX
Title
Concurrent Execution using Shared Resource with Improper Synchronization ('Race Condition') in graphql-modules
Summary
GraphQL Modules is a toolset of libraries and guidelines dedicated to create reusable, maintainable, testable and extendable modules out of your GraphQL server. From 2.2.1 to before 2.4.1 and 3.1.1, when 2 or more parallel requests are made which trigger the same service, the context of the requests is mixed up in the service when the context is injected via @ExecutionContext(). ExecutionContext is often used to pass authentication tokens from incoming requests to services loading data from backend APIs. This vulnerability is fixed in 2.4.1 and 3.1.1.
Severity
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-01-16 20:27 UTC
CWE
- CWE-362 - Concurrent Execution using Shared Resource with Improper Synchronization ('Race Condition')
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/graphql-hive/graphql-modules/s… | x_refsource_CONFIRM |
| https://github.com/graphql-hive/graphql-modules/i… | x_refsource_MISC |
| https://github.com/graphql-hive/graphql-modules/p… | x_refsource_MISC |
| https://github.com/graphql-hive/graphql-modules/r… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| graphql-hive | graphql-modules |
Affected:
>= 2.2.1, < 2.4.1
Affected: >= 3.0.0, < 3.1.1 |
guessed |
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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