FKIE_CVE-2026-27170
Vulnerability from fkie_nvd - Published: 2026-02-21 00:16 - Updated: 2026-06-17 10:26
Severity
Summary
OpenSift is an AI study tool that sifts through large datasets using semantic search and generative AI. In versions 1.1.2-alpha and below, URL ingest allows overly permissive server-side fetch behavior and can be coerced into requesting unsafe targets. Potential access/probing of private/local network resources from the OpenSift host process when ingesting attacker-controlled URLs. This issue has been fixed in version 1.1.3-alpha. To workaround when using trusted local-only exceptions, use OPENSIFT_ALLOW_PRIVATE_URLS=true with caution.
References
{
"affected": [
{
"affectedData": [
{
"product": "OpenSift",
"vendor": "OpenSift",
"versions": [
{
"status": "affected",
"version": "\u003c 1.1.3-alpha"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:opensift:opensift:*:*:*:*:*:python:*:*",
"matchCriteriaId": "319EE5EC-3784-4572-A7A3-DFE3BC789A64",
"versionEndExcluding": "1.1.3",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "OpenSift is an AI study tool that sifts through large datasets using semantic search and generative AI. In versions 1.1.2-alpha and below, URL ingest allows overly permissive server-side fetch behavior and can be coerced into requesting unsafe targets. Potential access/probing of private/local network resources from the OpenSift host process when ingesting attacker-controlled URLs. This issue has been fixed in version 1.1.3-alpha. To workaround when using trusted local-only exceptions, use OPENSIFT_ALLOW_PRIVATE_URLS=true with caution."
},
{
"lang": "es",
"value": "OpenSift es una herramienta de estudio de IA que tamiza grandes conjuntos de datos utilizando b\u00fasqueda sem\u00e1ntica e IA generativa. En las versiones 1.1.2-alpha e inferiores, la ingesta de URL permite un comportamiento de obtenci\u00f3n del lado del servidor excesivamente permisivo y puede ser forzada a solicitar objetivos inseguros. Acceso/sondeo potencial de recursos de red privados/locales desde el proceso anfitri\u00f3n de OpenSift al ingerir URL controladas por el atacante. Este problema ha sido solucionado en la versi\u00f3n 1.1.3-alpha. Para la soluci\u00f3n alternativa al usar excepciones de solo locales de confianza, use OPENSIFT_ALLOW_PRIVATE_URLS=true con precauci\u00f3n."
}
],
"id": "CVE-2026-27170",
"lastModified": "2026-06-17T10:26:47.250",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.1,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 4.2,
"source": "security-advisories@github.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-27170",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-02-25T21:26:21.737497Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-02-21T00:16:16.980",
"references": [
{
"source": "security-advisories@github.com",
"tags": [
"Product",
"Release Notes"
],
"url": "https://github.com/OpenSift/OpenSift/releases/tag/v1.1.3-alpha"
},
{
"source": "security-advisories@github.com",
"tags": [
"Vendor Advisory"
],
"url": "https://github.com/OpenSift/OpenSift/security/advisories/GHSA-3w2r-hj5p-h6pp"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-20"
},
{
"lang": "en",
"value": "CWE-918"
}
],
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
}
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Sightings
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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.