FKIE_CVE-2024-10044
Vulnerability from fkie_nvd - Published: 2024-12-30 12:15 - Updated: 2026-06-17 06:54
Severity
Summary
A Server-Side Request Forgery (SSRF) vulnerability exists in the POST /worker_generate_stream API endpoint of the Controller API Server in lm-sys/fastchat, as of commit e208d5677c6837d590b81cb03847c0b9de100765. This vulnerability allows attackers to exploit the victim controller API server's credentials to perform unauthorized web actions or access unauthorized web resources by combining it with the POST /register_worker endpoint.
References
| URL | Tags | ||
|---|---|---|---|
| security@huntr.dev | https://huntr.com/bounties/44633540-377d-4ac4-b3a3-c2d0fa19d0e6 | Exploit, Third Party Advisory |
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"vendor": "lm-sys",
"versions": [
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"status": "affected",
"version": "unspecified",
"versionType": "custom"
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},
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"lang": "es",
"value": "Existe una vulnerabilidad de server-side request forgery (SSRF) en el endpoint de la API POST /worker_generate_stream del servidor de API del controlador en lm-sys/fastchat, a partir de el commit e208d5677c6837d590b81cb03847c0b9de100765. Esta vulnerabilidad permite a los atacantes explotar las credenciales del servidor de API del controlador de la v\u00edctima para realizar acciones web no autorizadas o acceder a recursos web no autorizados al combinarlo con el endpoint POST /register_worker."
}
],
"id": "CVE-2024-10044",
"lastModified": "2026-06-17T06:54:49.500",
"metrics": {
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"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 9.3,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "CHANGED",
"userInteraction": "NONE",
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"timestamp": "2024-12-30T14:13:37.708900Z",
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"published": "2024-12-30T12:15:05.990",
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]
}
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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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