CVE-2026-103036 (GCVE-0-2026-103036)
Vulnerability from cvelistv5 – Published: 2026-10-02 19:59 – Updated: 2026-10-02 20:00
VLAI
EPSS
VEX
Title
@orpc/json-schema: Prototype injection in smart coercion
Summary
oRPC is a tool that helps build APIs that are end-to-end type-safe and adhere to OpenAPI standards. Prior to 1.14.9, the @orpc/json-schema SmartCoercionPlugin uses JsonSchemaCoercer to collect object properties in a plain object and to resolve schema.properties entries through the prototype chain. A remote client that can reach a procedure with an object input schema can supply __proto__ to replace the prototype of the single coerced request object, or supply Object.prototype member names such as constructor and toString so inherited values are treated as sub-schemas and pass the coercer's satisfaction check. Attacker-controlled inherited properties can consequently affect handler, Object.assign, or configuration lookups, while legitimate __proto__ properties are dropped. The global Object.prototype, unrelated objects, other requests, and other users are not modified, and downstream schema validation still runs. This issue is fixed in version 1.14.9.
Severity
6.5 (Medium)
CWE
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/middleapi/orpc/security/adviso… | x_refsource_CONFIRM |
| https://github.com/middleapi/orpc/pull/1726 | x_refsource_MISC |
| https://github.com/middleapi/orpc/commit/8a352622… | x_refsource_MISC |
| https://github.com/middleapi/orpc/releases/tag/v1.14.9 | x_refsource_MISC |
{
"containers": {
"cna": {
"affected": [
{
"product": "orpc",
"vendor": "middleapi",
"versions": [
{
"status": "affected",
"version": "\u003c 1.14.9"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "oRPC is a tool that helps build APIs that are end-to-end type-safe and adhere to OpenAPI standards. Prior to 1.14.9, the @orpc/json-schema SmartCoercionPlugin uses JsonSchemaCoercer to collect object properties in a plain object and to resolve schema.properties entries through the prototype chain. A remote client that can reach a procedure with an object input schema can supply __proto__ to replace the prototype of the single coerced request object, or supply Object.prototype member names such as constructor and toString so inherited values are treated as sub-schemas and pass the coercer\u0027s satisfaction check. Attacker-controlled inherited properties can consequently affect handler, Object.assign, or configuration lookups, while legitimate __proto__ properties are dropped. The global Object.prototype, unrelated objects, other requests, and other users are not modified, and downstream schema validation still runs. This issue is fixed in version 1.14.9."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:N",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-915",
"description": "CWE-915: Improperly Controlled Modification of Dynamically-Determined Object Attributes",
"lang": "en",
"type": "CWE"
}
]
},
{
"descriptions": [
{
"cweId": "CWE-1321",
"description": "CWE-1321: Improperly Controlled Modification of Object Prototype Attributes (\u0027Prototype Pollution\u0027)",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-10-02T20:00:46.620Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/middleapi/orpc/security/advisories/GHSA-4h5r-cv8j-4456",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/middleapi/orpc/security/advisories/GHSA-4h5r-cv8j-4456"
},
{
"name": "https://github.com/middleapi/orpc/pull/1726",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/middleapi/orpc/pull/1726"
},
{
"name": "https://github.com/middleapi/orpc/commit/8a352622e756e8956311f5836cd5c5b9219c0666",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/middleapi/orpc/commit/8a352622e756e8956311f5836cd5c5b9219c0666"
},
{
"name": "https://github.com/middleapi/orpc/releases/tag/v1.14.9",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/middleapi/orpc/releases/tag/v1.14.9"
}
],
"source": {
"advisory": "GHSA-4h5r-cv8j-4456",
"discovery": "UNKNOWN"
},
"title": "@orpc/json-schema: Prototype injection in smart coercion"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-103036",
"datePublished": "2026-10-02T19:59:23.947Z",
"dateReserved": "2026-09-29T21:13:24.032Z",
"dateUpdated": "2026-10-02T20:00:46.620Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
"epss": {
"cve": "CVE-2026-103036",
"date": "2026-10-03",
"epss": "0.00234",
"percentile": "0.13052"
}
}
}
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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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