FKIE_CVE-2026-41488
Vulnerability from fkie_nvd - Published: 2026-04-24 21:16 - Updated: 2026-10-26 21:10
Severity
Summary
LangChain is a framework for building agents and LLM-powered applications. Prior to 1.1.14, langchain-openai's _url_to_size() helper (used by get_num_tokens_from_messages for image token counting) validated URLs for SSRF protection and then fetched them in a separate network operation with independent DNS resolution. This left a TOCTOU / DNS rebinding window: an attacker-controlled hostname could resolve to a public IP during validation and then to a private/localhost IP during the actual fetch.
References
| URL | Tags | ||
|---|---|---|---|
| security-advisories@github.com | https://github.com/langchain-ai/langchain/security/advisories/GHSA-r7w7-9xr2-qq2r | Mitigation, Vendor Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| langchain | langchain-openai | * |
{
"affected": [
{
"affectedData": [
{
"product": "langchain-openai",
"vendor": "langchain-ai",
"versions": [
{
"status": "affected",
"version": "\u003c 1.1.14"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:langchain:langchain-openai:*:*:*:*:*:*:*:*",
"matchCriteriaId": "8089EE72-7257-4263-BF4E-8B429B2C0002",
"versionEndExcluding": "1.1.14",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "LangChain is a framework for building agents and LLM-powered applications. Prior to 1.1.14, langchain-openai\u0027s _url_to_size() helper (used by get_num_tokens_from_messages for image token counting) validated URLs for SSRF protection and then fetched them in a separate network operation with independent DNS resolution. This left a TOCTOU / DNS rebinding window: an attacker-controlled hostname could resolve to a public IP during validation and then to a private/localhost IP during the actual fetch."
},
{
"lang": "es",
"value": "LangChain es un framework para construir agentes y aplicaciones impulsadas por LLM. Antes de la versi\u00f3n 1.1.14, el asistente _url_to_size() de langchain-openai (utilizado por get_num_tokens_from_messages para el recuento de tokens de imagen) validaba las URL para la protecci\u00f3n contra SSRF y luego las obten\u00eda en una operaci\u00f3n de red separada con resoluci\u00f3n DNS independiente. Esto dejaba una ventana de TOCTOU / revinculaci\u00f3n de DNS: un nombre de host controlado por un atacante podr\u00eda resolverse a una IP p\u00fablica durante la validaci\u00f3n y luego a una IP privada/localhost durante la obtenci\u00f3n real."
}
],
"id": "CVE-2026-41488",
"lastModified": "2026-10-26T21:10:00.170",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 3.1,
"baseSeverity": "LOW",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:L/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 1.6,
"impactScore": 1.4,
"source": "security-advisories@github.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-41488",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-04-27T13:40:34.758273Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-04-24T21:16:19.637",
"references": [
{
"source": "security-advisories@github.com",
"tags": [
"Mitigation",
"Vendor Advisory"
],
"url": "https://github.com/langchain-ai/langchain/security/advisories/GHSA-r7w7-9xr2-qq2r"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-918"
}
],
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
}
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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
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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.