CVE-2022-36084 (GCVE-0-2022-36084)
Vulnerability from cvelistv5 – Published: 2022-09-08 21:15 – Updated: 2025-04-23 17:12
VLAI
EPSS
VEX
Title
cruddl vulnerable to AQL injection through flexSearch
Summary
cruddl is software for creating a GraphQL API for a database, using the GraphQL SDL to model a schema. If cruddl starting with version 1.1.0 and prior to versions 2.7.0 and 3.0.2 is used to generate a schema that uses `@flexSearchFulltext`, users of that schema may be able to inject arbitrary AQL queries that will be forwarded to and executed by ArangoDB. Schemas that do not use `@flexSearchFulltext` are not affected. The attacker needs to have `READ` permission to at least one root entity type that has `@flexSearchFulltext` enabled. The issue has been fixed in version 3.0.2 and in version 2.7.0 of cruddl. As a workaround, users can temporarily remove `@flexSearchFulltext` from their schemas.
Severity
9.9 (Critical)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-04-23 15:49 UTC
CWE
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/AEB-labs/cruddl/security/advis… | x_refsource_CONFIRM |
| https://github.com/AEB-labs/cruddl/pull/253 | x_refsource_MISC |
| https://github.com/AEB-labs/cruddl/commit/13b9233… | x_refsource_MISC |
Impacted products
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"value": "cruddl is software for creating a GraphQL API for a database, using the GraphQL SDL to model a schema. If cruddl starting with version 1.1.0 and prior to versions 2.7.0 and 3.0.2 is used to generate a schema that uses `@flexSearchFulltext`, users of that schema may be able to inject arbitrary AQL queries that will be forwarded to and executed by ArangoDB. Schemas that do not use `@flexSearchFulltext` are not affected. The attacker needs to have `READ` permission to at least one root entity type that has `@flexSearchFulltext` enabled. The issue has been fixed in version 3.0.2 and in version 2.7.0 of cruddl. As a workaround, users can temporarily remove `@flexSearchFulltext` from their schemas."
}
]
},
"impact": {
"cvss": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.9,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H",
"version": "3.1"
}
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "CWE-943: Improper Neutralization of Special Elements in Data Query Logic"
}
]
},
{
"description": [
{
"lang": "eng",
"value": "CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component (\u0027Injection\u0027)"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://github.com/AEB-labs/cruddl/security/advisories/GHSA-qm4w-4995-vg7f",
"refsource": "CONFIRM",
"url": "https://github.com/AEB-labs/cruddl/security/advisories/GHSA-qm4w-4995-vg7f"
},
{
"name": "https://github.com/AEB-labs/cruddl/pull/253",
"refsource": "MISC",
"url": "https://github.com/AEB-labs/cruddl/pull/253"
},
{
"name": "https://github.com/AEB-labs/cruddl/commit/13b9233733ed6fc822718a07bc90a80cd3492698",
"refsource": "MISC",
"url": "https://github.com/AEB-labs/cruddl/commit/13b9233733ed6fc822718a07bc90a80cd3492698"
}
]
},
"source": {
"advisory": "GHSA-qm4w-4995-vg7f",
"discovery": "UNKNOWN"
}
}
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2022-36084",
"datePublished": "2022-09-08T21:15:13.000Z",
"dateReserved": "2022-07-15T00:00:00.000Z",
"dateUpdated": "2025-04-23T17:12:43.338Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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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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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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