CVE-2026-105148 (GCVE-0-2026-105148)
Vulnerability from cvelistv5 – Published: 2026-10-04 11:30 – Updated: 2026-10-04 11:30
VLAI
EPSS
VEX
Title
SciPhi-AI R2R Retrieval Completion API Endpoint llm.py server-side request forgery
Summary
A vulnerability was identified in SciPhi-AI R2R up to 3.6.6. This vulnerability affects unknown code of the file py/shared/abstractions/llm.py of the component Retrieval Completion API Endpoint. Such manipulation of the argument generation_config.api_base leads to server-side request forgery. The attack can be launched remotely. The exploit is publicly available and might be used. The vendor was contacted early about this disclosure but did not respond in any way.
Severity
CWE
- CWE-918 - Server-Side Request Forgery
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/413373 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/413373/cti | signaturepermissions-required |
| https://vuldb.com/cve/CVE-2026-105148 | third-party-advisory |
| https://vuldb.com/submit/947817 | third-party-advisory |
| https://gist.github.com/DReazer/6c1fd0ef98900fbbf… | exploit |
Impacted products
{
"containers": {
"cna": {
"affected": [
{
"cpes": [
"cpe:2.3:a:sciphi-ai:r2r:*:*:*:*:*:*:*:*"
],
"modules": [
"Retrieval Completion API Endpoint"
],
"product": "R2R",
"vendor": "SciPhi-AI",
"versions": [
{
"status": "affected",
"version": "3.6.0"
},
{
"status": "affected",
"version": "3.6.1"
},
{
"status": "affected",
"version": "3.6.2"
},
{
"status": "affected",
"version": "3.6.3"
},
{
"status": "affected",
"version": "3.6.4"
},
{
"status": "affected",
"version": "3.6.5"
},
{
"status": "affected",
"version": "3.6.6"
}
]
}
],
"credits": [
{
"lang": "en",
"type": "reporter",
"value": "Snkn0w (VulDB User)"
},
{
"lang": "en",
"type": "coordinator",
"value": "VulDB CNA Team"
}
],
"descriptions": [
{
"lang": "en",
"value": "A vulnerability was identified in SciPhi-AI R2R up to 3.6.6. This vulnerability affects unknown code of the file py/shared/abstractions/llm.py of the component Retrieval Completion API Endpoint. Such manipulation of the argument generation_config.api_base leads to server-side request forgery. The attack can be launched remotely. The exploit is publicly available and might be used. The vendor was contacted early about this disclosure but did not respond in any way."
}
],
"metrics": [
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"vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P",
"version": "4.0"
}
},
{
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"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L/E:P/RL:X/RC:C",
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}
},
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},
{
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"version": "2.0"
}
}
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"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-918",
"description": "Server-Side Request Forgery",
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"providerMetadata": {
"dateUpdated": "2026-10-04T11:30:12.942Z",
"orgId": "1af790b2-7ee1-4545-860a-a788eba489b5",
"shortName": "VulDB"
},
"references": [
{
"name": "VDB-413373 | SciPhi-AI R2R Retrieval Completion API Endpoint llm.py server-side request forgery",
"tags": [
"vdb-entry",
"technical-description"
],
"url": "https://vuldb.com/vuln/413373"
},
{
"name": "VDB-413373 | CTI Indicators (IOB, IOC, IOA)",
"tags": [
"signature",
"permissions-required"
],
"url": "https://vuldb.com/vuln/413373/cti"
},
{
"name": "CVE-2026-105148 | CVE Analysis and Report",
"tags": [
"third-party-advisory"
],
"url": "https://vuldb.com/cve/CVE-2026-105148"
},
{
"name": "Submit #947817 | SciPhi-AI R2R \u003c=3.6.6 Server-Side Request Forgery",
"tags": [
"third-party-advisory"
],
"url": "https://vuldb.com/submit/947817"
},
{
"tags": [
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],
"url": "https://gist.github.com/DReazer/6c1fd0ef98900fbbfa383faa20f731f6"
}
],
"timeline": [
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"time": "2026-10-03T00:00:00.000Z",
"value": "Advisory disclosed"
},
{
"lang": "en",
"time": "2026-10-03T02:00:00.000Z",
"value": "VulDB entry created"
},
{
"lang": "en",
"time": "2026-10-03T20:10:28.000Z",
"value": "VulDB entry last update"
}
],
"title": "SciPhi-AI R2R Retrieval Completion API Endpoint llm.py server-side request forgery",
"x_generator": [
"VulDB PVTS v202610"
]
}
},
"cveMetadata": {
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"assignerShortName": "VulDB",
"cveId": "CVE-2026-105148",
"datePublished": "2026-10-04T11:30:12.942Z",
"dateReserved": "2026-10-03T18:05:17.570Z",
"dateUpdated": "2026-10-04T11:30:12.942Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
"nvd": {
"cve": {
"affected": [
{
"affectedData": [
{
"cpes": [
"cpe:2.3:a:sciphi-ai:r2r:*:*:*:*:*:*:*:*"
],
"modules": [
"Retrieval Completion API Endpoint"
],
"product": "R2R",
"vendor": "SciPhi-AI",
"versions": [
{
"status": "affected",
"version": "3.6.0"
},
{
"status": "affected",
"version": "3.6.1"
},
{
"status": "affected",
"version": "3.6.2"
},
{
"status": "affected",
"version": "3.6.3"
},
{
"status": "affected",
"version": "3.6.4"
},
{
"status": "affected",
"version": "3.6.5"
},
{
"status": "affected",
"version": "3.6.6"
}
]
}
],
"source": "cna@vuldb.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "A vulnerability was identified in SciPhi-AI R2R up to 3.6.6. This vulnerability affects unknown code of the file py/shared/abstractions/llm.py of the component Retrieval Completion API Endpoint. Such manipulation of the argument generation_config.api_base leads to server-side request forgery. The attack can be launched remotely. The exploit is publicly available and might be used. The vendor was contacted early about this disclosure but did not respond in any way."
}
],
"id": "CVE-2026-105148",
"lastModified": "2026-10-04T13:16:55.877",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "HIGH",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 7.5,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "cna@vuldb.com",
"type": "Secondary",
"userInteractionRequired": false
}
],
"cvssMetricV31": [
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"attackVector": "NETWORK",
"availabilityImpact": "LOW",
"baseScore": 7.3,
"baseSeverity": "HIGH",
"confidentialityImpact": "LOW",
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"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:L",
"version": "3.1"
},
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"impactScore": 3.4,
"source": "cna@vuldb.com",
"type": "Primary"
}
],
"cvssMetricV40": [
{
"cvssData": {
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"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
"attackComplexity": "LOW",
"attackRequirements": "NONE",
"attackVector": "NETWORK",
"availabilityRequirement": "NOT_DEFINED",
"baseScore": 5.5,
"baseSeverity": "MEDIUM",
"confidentialityRequirement": "NOT_DEFINED",
"exploitMaturity": "PROOF_OF_CONCEPT",
"integrityRequirement": "NOT_DEFINED",
"modifiedAttackComplexity": "NOT_DEFINED",
"modifiedAttackRequirements": "NOT_DEFINED",
"modifiedAttackVector": "NOT_DEFINED",
"modifiedPrivilegesRequired": "NOT_DEFINED",
"modifiedSubAvailabilityImpact": "NOT_DEFINED",
"modifiedSubConfidentialityImpact": "NOT_DEFINED",
"modifiedSubIntegrityImpact": "NOT_DEFINED",
"modifiedUserInteraction": "NOT_DEFINED",
"modifiedVulnAvailabilityImpact": "NOT_DEFINED",
"modifiedVulnConfidentialityImpact": "NOT_DEFINED",
"modifiedVulnIntegrityImpact": "NOT_DEFINED",
"privilegesRequired": "NONE",
"providerUrgency": "NOT_DEFINED",
"subAvailabilityImpact": "NONE",
"subConfidentialityImpact": "NONE",
"subIntegrityImpact": "NONE",
"userInteraction": "NONE",
"valueDensity": "NOT_DEFINED",
"vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/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",
"version": "4.0",
"vulnAvailabilityImpact": "LOW",
"vulnConfidentialityImpact": "LOW",
"vulnIntegrityImpact": "LOW",
"vulnerabilityResponseEffort": "NOT_DEFINED"
},
"source": "cna@vuldb.com",
"type": "Secondary"
}
]
},
"published": "2026-10-04T13:16:55.733",
"references": [
{
"source": "cna@vuldb.com",
"url": "https://gist.github.com/DReazer/6c1fd0ef98900fbbfa383faa20f731f6"
},
{
"source": "cna@vuldb.com",
"url": "https://vuldb.com/cve/CVE-2026-105148"
},
{
"source": "cna@vuldb.com",
"url": "https://vuldb.com/submit/947817"
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{
"source": "cna@vuldb.com",
"url": "https://vuldb.com/vuln/413373"
},
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"sourceIdentifier": "cna@vuldb.com",
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"weaknesses": [
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"value": "CWE-918"
}
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"type": "Primary"
}
]
}
}
}
}
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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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