FKIE_CVE-2026-48038
Vulnerability from fkie_nvd - Published: 2026-07-14 20:17 - Updated: 2026-07-15 20:22
Severity
Summary
joi is a schema description language and data validator for JavaScript. Prior to 17.13.4 and 18.2.1, denial of service is possible via an untrapped exception in services validating user-supplied JSON or object input with recursive link() schemas. When validate() is called without try/catch in a request handler, deeply nested input can trigger an unhandled RangeError and potentially crash the process; lower-impact paths using validateAsync() or try/catch produce a RangeError instead of a structured ValidationError. This issue is fixed in versions 17.13.4 and 18.2.1.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"product": "joi",
"vendor": "hapijs",
"versions": [
{
"status": "affected",
"version": "\u003c 17.13.4"
},
{
"status": "affected",
"version": "\u003e= 18.0.0, \u003c 18.2.1"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "joi is a schema description language and data validator for JavaScript. Prior to 17.13.4 and 18.2.1, denial of service is possible via an untrapped exception in services validating user-supplied JSON or object input with recursive link() schemas. When validate() is called without try/catch in a request handler, deeply nested input can trigger an unhandled RangeError and potentially crash the process; lower-impact paths using validateAsync() or try/catch produce a RangeError instead of a structured ValidationError. This issue is fixed in versions 17.13.4 and 18.2.1."
}
],
"id": "CVE-2026-48038",
"lastModified": "2026-07-15T20:22:55.353",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "LOW",
"baseScore": 5.3,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 1.4,
"source": "security-advisories@github.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-48038",
"options": [
{
"exploitation": "none"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-07-15T13:23:16.760424Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-07-14T20:17:05.563",
"references": [
{
"source": "security-advisories@github.com",
"url": "https://github.com/hapijs/joi/commit/97bd51de94d595a2d8949eb3bec0dbdd2f8a7a74"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/hapijs/joi/commit/fc146a628ab9cc250854407722d9f8738c9548e7"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/hapijs/joi/pull/3113"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/hapijs/joi/security/advisories/GHSA-q7cg-457f-vx79"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Awaiting Analysis",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-248"
}
],
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
}
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Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
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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.