How to Build Your Own SentinelWatch: A Step-by-Step Guide to Creating a French Cyber Threat Intelligence Feed for Sales Teams + Video

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Introduction:

In today’s threat landscape, sales teams need real-time, digestible cyber intelligence to drive client conversations—ransomware outbreaks, critical CVEs, data breaches, and regulatory fines. The challenge is transforming raw open-source intelligence (OSINT) into actionable, non-technical alerts without overwhelming analysts. This article dissects the architecture behind SentinelWatch (sentinelwatch.fr), a French-language cyber watch platform, and provides a hands-on blueprint to replicate it using Linux automation, API security, and cloud hardening.

Learning Objectives:

  • Build an automated OSINT pipeline to collect ransomware, CVE, data leak, and CNIL fine data from open sources.
  • Implement secure API ingestion and notification delivery (email/Slack) using Linux cron and Python.
  • Harden the platform against common attacks (API abuse, web scraping, credential leaks) with cloud security controls.

You Should Know:

1. Setting Up the OSINT Collection Engine (Linux/Python)

SentinelWatch relies on open sources—feeds like CVE databases, ransomware trackers, and regulatory bulletins. Below is a step-by-step guide to create a collector that scrapes and normalizes French-language cyber threats.

What this does:

A Python script fetches data from free APIs (NVD, Feedly, Ransomware.live) and French sources (CNIL, ANSSI), then outputs a JSON feed for downstream distribution.

Step‑by‑step guide:

1. Install dependencies on Ubuntu/Debian:

sudo apt update && sudo apt install python3-pip git -y
pip3 install requests beautifulsoup4 feedparser pandas

2. Create the collector script `cyber_watch.py`:

import requests
import json
from datetime import datetime

Ransomware.live feed (English, but can translate)
def get_ransomware():
url = "https://raw.githubusercontent.com/JMousqueton/PoC-in-GitHub/master/ransomware_live.json"
resp = requests.get(url, timeout=10)
return resp.json()[:5]  top 5 active

CNIL sanctions (French)
def get_cnil_fines():
 CNIL RSS feed (example)
import feedparser
feed = feedparser.parse("https://www.cnil.fr/fr/actualites/rss.xml")
fines = [entry for entry in feed.entries if "sanction" in entry.title.lower()]
return fines[:3]

CVE critical from NVD (CVSS >= 9.0)
def get_critical_cves():
url = "https://services.nvd.nist.gov/rest/json/cves/2.0?cvssV3Severity=CRITICAL&resultsPerPage=10"
resp = requests.get(url, headers={"User-Agent": "SentinelWatch-Clone/1.0"})
data = resp.json()
return [{"id": cve["id"], "description": cve["descriptions"][bash]["value"][:150]} for cve in data.get("vulnerabilities", [])]

if <strong>name</strong> == "<strong>main</strong>":
report = {
"timestamp": datetime.utcnow().isoformat(),
"ransomware": get_ransomware(),
"cnil_fines": get_cnil_fines(),
"critical_cves": get_critical_cves()
}
with open("/var/www/sentinelwatch/data/latest.json", "w") as f:
json.dump(report, f, indent=2)
  1. Schedule with cron for daily updates (e.g., 7 AM every day): 
    crontab -e
Add line:
0 7    /usr/bin/python3 /home/user/cyber_watch.py

Windows alternative (Task Scheduler + PowerShell):

Use PowerShell to invoke REST APIs and save to JSON; schedule via Register-ScheduledTask.

  1. Building a Secure Notification Hub (API Security & Rate Limiting)

SentinelWatch delivers alerts to sales teams without requiring technical analysis. You’ll implement a lightweight API that serves the collected JSON and optionally pushes to Slack/Email.

Step‑by‑step guide (Flask API with authentication):

1. Install Flask and protect with API keys:

pip3 install flask flask-limiter

2. Create `app.py`:

from flask import Flask, request, jsonify
from flask_limiter import Limiter
from flask_limiter.util import get_remote_address
import json
import os

app = Flask(<strong>name</strong>)
limiter = Limiter(get_remote_address, app=app, default_limits=["200 per day", "50 per hour"])
API_KEY = os.environ.get("SENTINEL_API_KEY", "changeme")

@app.route("/api/v1/cyber-watch", methods=["GET"])
@limiter.limit("10 per minute")
def get_watch():
auth = request.headers.get("X-API-Key")
if auth != API_KEY:
return jsonify({"error": "Unauthorized"}), 401
with open("/var/www/sentinelwatch/data/latest.json") as f:
data = json.load(f)
return jsonify(data)

if <strong>name</strong> == "<strong>main</strong>":
app.run(host="0.0.0.0", port=8080, ssl_context=('cert.pem', 'key.pem'))  TLS required

3. Run as a service (systemd for Linux):

sudo nano /etc/systemd/system/sentinelapi.service

[bash]
Description=SentinelWatch API
After=network.target

[bash]
User=www-data
Environment="SENTINEL_API_KEY=your_strong_key_here"
WorkingDirectory=/home/user
ExecStart=/usr/bin/python3 /home/user/app.py
Restart=always

[bash]
WantedBy=multi-user.target

sudo systemctl enable sentinelapi && sudo systemctl start sentinelapi

Windows alternative (IIS with API key middleware):

Use ASP.NET Core or Python with Waitress; secure via URL Rewrite rules.

  1. Hardening Against Scraping & API Abuse (Cloud & WAF)

Open-source platforms are vulnerable to DDoS, scraping, and credential stuffing. Implement these mitigations.

Step‑by‑step guide using Cloudflare + Nginx:

  1. Set up Cloudflare proxy for sentinelwatch.fr (or your domain) to hide origin IP and enable rate limiting at edge.

  2. Configure Nginx rate limiting (on your Linux server):

    http {
limit_req_zone $binary_remote_addr zone=cyberapi:10m rate=5r/s;
server {
listen 443 ssl;
server_name yourdomain.com;
location /api/ {
limit_req zone=cyberapi burst=10 nodelay;
proxy_pass http://127.0.0.1:8080;
proxy_set_header X-Real-IP $remote_addr;
}
}
}

3. Add fail2ban to block malicious IPs:

sudo apt install fail2ban -y
sudo nano /etc/fail2ban/jail.local

[nginx-botsearch]
enabled = true
port = http,https
filter = nginx-botsearch
logpath = /var/log/nginx/access.log
maxretry = 20
bantime = 3600

sudo systemctl restart fail2ban
  1. Rotate API keys weekly using a cron job that updates the environment and notifies subscribers via encrypted email.

4. Data Leak Monitoring Integration (OSINT & Automation)

SentinelWatch tracks data leaks. You can integrate Have I Been Pwned (HIBP) and Telegram scrapers for French breach forums.

Step‑by‑step guide:

  1. Register for HIBP API v3 (rate-limited, needs API key): 
    def check_hibp(domain="example.com"):
headers = {"hibp-api-key": "YOUR_KEY", "user-agent": "SentinelWatch"}
url = f"https://haveibeenpwned.com/api/v3/breeds?domain={domain}"
resp = requests.get(url, headers=headers)
return resp.json() if resp.status_code == 200 else []

  2. For Telegram scraping (French groups) – use telethon library:

    pip3 install telethon

    from telethon import TelegramClient</p></li>
</ol>

<p>api_id = "YOUR_API_ID"
api_hash = "YOUR_API_HASH"
client = TelegramClient('session', api_id, api_hash)
async def main():
async for message in client.iter_messages('leak_french_channel', limit=10):
if "fuite" in message.text.lower():
print(message.text)
    1. Schedule daily scans and push results to a private Slack channel via webhook (secure with HMAC).

    2. Presenting Data for Non‑Technical Sales Teams (Frontend & Security Headers)

    The final step is a read‑only dashboard (or daily email) that sales can consume without training. Hardening includes CSP, X‑Frame‑Options, and sanitization.

    Step‑by‑step guide (static HTML + JavaScript with security headers):

    1. Create `index.html` that fetches from your API:

    <!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8">
<title>SentinelWatch - Veille Cyber</title>
<meta http-equiv="Content-Security-Policy" content="default-src 'self'; script-src 'self' https://cdn.jsdelivr.net">
</head>
<body>

<div id="content"></div>

<script>
fetch('/api/v1/cyber-watch', {
headers: { 'X-API-Key': 'your_key' }
})
.then(res => res.json())
.then(data => {
document.getElementById('content').innerHTML = `
<h2>Ransomwares actifs</h2><pre>${JSON.stringify(data.ransomware, null, 2)}</pre>
<h2>Amendes CNIL</h2><pre>${JSON.stringify(data.cnil_fines, null, 2)}</pre>
<h2>CVE critiques</h2><pre>${JSON.stringify(data.critical_cves, null, 2)}</pre>
`;
});
</script>

</body>
</html>

    2. Configure Nginx security headers:

    add_header X-Frame-Options "DENY" always;
add_header X-Content-Type-Options "nosniff" always;
add_header Content-Security-Policy "default-src 'self'; script-src 'self' https://cdn.jsdelivr.net;" always;
add_header Referrer-Policy "strict-origin-when-cross-origin" always;
    1. Optional – Convert to daily email using `smtplib` (TLS, DMARC alignment): 
      import smtplib, ssl
from email.mime.text import MIMEText</li>
</ol>

msg = MIMEText(json.dumps(report, indent=2))
msg['Subject'] = 'SentinelWatch - Daily Threat Brief'
msg['From'] = '[email protected]'
msg['To'] = '[email protected]'

context = ssl.create_default_context()
with smtplib.SMTP_SSL("smtp.sendgrid.net", 465, context=context) as server:
server.login("apikey", os.environ["SENDGRID_KEY"])
server.send_message(msg)

      What Undercode Say:

      • Automation is not enough – you must harden the pipeline. Open sources are reliable, but API keys and webhooks are frequent attack vectors. Implement mutual TLS and short-lived tokens.
      • Sales teams need French‑language, de‑jargonized alerts. Translating CVSS scores into business impact (e.g., “Patch this within 48 hours or face breach risk”) increases adoption.
      • Compliance with CNIL and GDPR is part of the feed. Tracking fines helps sales pitch compliance solutions—embed that context into every alert.

      The SentinelWatch concept transforms raw OSINT into a competitive sales asset. By replicating this architecture, you not only build a cyber watch platform but also learn API security, cloud hardening, and threat intelligence automation. Expect future iterations to integrate LLMs for automatic summarization and predictive analytics on ransomware trends.

      Prediction:

      Within 18 months, every B2B cybersecurity sales team will rely on custom, automated threat intelligence feeds tailored to their local regulatory environment (e.g., CNIL, BSI, CISA). Platforms like SentinelWatch will evolve into low‑code SaaS offerings, but their core—secure, open‑source ingestion pipelines—will become a standard skill for cyber engineers. The rise of AI‑generated fake news and deepfake leaks will force feed providers to implement cryptographic verification of sources, moving beyond simple JSON APIs to verifiable data chains using signing or blockchain anchors.

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