Sudden slowdown of a WordPress site, hundreds of requests to /wp-login.php from different IPs — typical signs of an attack. SQL injections masquerade as normal traffic, and brute force attacks crack passwords. We configure a security monitoring system that automatically filters such threats. In 1–2 days, you get a WAF, File Integrity Monitoring, and CVE scanning turnkey. Our engineers have implemented protection for 10+ projects, from corporate portals to high-load e-commerce sites. Order a security audit — we'll find vulnerabilities and set up protection in 1–2 days.
Standard logs are useless — attacks drown in legitimate traffic. Automatic event correlation and signature-based filtering detect anomalies in seconds. Without this, you only learn about a breach when the site is already blocked by hosting or SEO spam is planted. A data leak or downtime from a DDoS costs tens of about $9–13 in savings per hour — Security Monitoring pays for itself at the first attack.
Threat Types and Monitoring Tools
| Threat | Tool | Detection Method |
|---|---|---|
| SQL injections | WAF (Cloudflare, ModSecurity) | Block by detectSQLi signatures |
| XSS | WAF | Filter scripts in parameters |
| Brute force | Fail2ban | Analyze access logs for repeated 401s |
| File changes | FIM (AIDE) | Daily checksum verification |
| CVE in dependencies | Snyk / Dependabot | Weekly repository scan |
Each tool covers its own area. WAF blocks common HTTP-level attacks. Fail2ban cuts off password guessing. FIM detects backdoors. CVE scanning prevents exploitation of outdated libraries. Together, they reduce the risk of a successful attack by 95%. Regular vulnerability audits and log analysis form a comprehensive defense.
How WAF Reduces Server Load?
An automatic WAF (like Cloudflare) blocks up to 99% of malicious requests before they reach the backend. This reduces 5xx errors 10-fold and saves CPU resources. Compare two popular implementations:
| Feature | Cloudflare WAF | ModSecurity (self-hosted) |
|---|---|---|
| Deployment | DNS proxy, no server changes | Install nginx/apache module |
| Filtering speed | Edge network, minimal latency | On server, consumes CPU |
| Rules | Pre-built OWASP CRS + custom | Full control, any rules |
| Cost | Paid (Pro plan) | Free, but requires server resources |
The choice depends on budget and customization needs. We help decide during the audit phase.
// Getting security events via Cloudflare API const events = await fetch( `https://api.cloudflare.com/client/v4/zones/${ZONE_ID}/security/events?per_page=50`, { headers: { 'Authorization': `Bearer ${CF_API_TOKEN}`, 'Content-Type': 'application/json', }, } ).then(r => r.json()); // Analysis: top attacking IPs const ipCounts = events.result.reduce((acc, e) => { acc[e.clientIP] = (acc[e.clientIP] || 0) + 1; return acc; }, {}); ModSecurity + Nginx: Rule Configuration
# /etc/nginx/modsec/modsecurity.conf SecRuleEngine On SecRequestBodyAccess On SecRule ARGS "@detectSQLi" "id:1000,deny,status:403,msg:'SQL Injection'" SecRule ARGS "@detectXSS" "id:1001,deny,status:403,msg:'XSS Attack'" Why File Integrity Monitoring Matters?
Hackers often modify CMS core files or add a backdoor. OWASP recommends FIM as a key control for detecting compromise. Automatic FIM (e.g., AIDE) is 5x faster and more accurate than manual checksum verification.
Detailed AIDE Setup Example
# Install AIDE sudo apt install aide # Initialize database (after setup, before expected changes) sudo aide --init sudo mv /var/lib/aide/aide.db.new /var/lib/aide/aide.db # Daily check (cron) sudo aide --check | mail -s "AIDE Report" [email protected] Monitoring via Fail2ban
# /etc/fail2ban/jail.local [nginx-botsearch] enabled = true port = http,https filter = nginx-botsearch logpath = /var/log/nginx/access.log maxretry = 5 findtime = 60 bantime = 3600 [nginx-http-auth] enabled = true port = http,https logpath = /var/log/nginx/error.log maxretry = 5 bantime = 86400 Dependency Scanning: GitHub Actions
# GitHub Actions: weekly dependency audit name: Security Audit on: schedule: - cron: '0 9 * * 1' # Every Monday jobs: audit: runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - run: npm audit --audit-level=high - run: npx snyk test --severity-threshold=high env: SNYK_TOKEN: ${{ secrets.SNYK_TOKEN }} Setup Process in 1–2 Days
- Infrastructure analysis: stack, hosting, CMS, current logs.
- WAF installation: Cloudflare (DNS proxying) or ModSecurity (nginx config).
- FIM deployment: AIDE with daily checks and alerts via Telegram/Slack.
- CVE scanning integration: Snyk or GitHub Dependabot in CI/CD.
- Testing: trial run, false positive check, team training.
What's Included
| Component | Tools | Implementation Time |
|---|---|---|
| WAF | Cloudflare / ModSecurity | 2–4 hours |
| File Integrity Monitoring | AIDE / Tripwire | 1–2 hours |
| Log Analysis + Alerting | Fail2ban + rsyslog + Graylog | 2–3 hours |
| CVE Scanning | Snyk / GitHub Dependabot | 30 minutes |
| Uptime Monitoring | UptimeRobot / Checkly | 30 minutes |
After setup, you get a dashboard with events, integration with Telegram/Slack, incident response instructions, configuration documentation, and team training. We guarantee no false positives on regular updates.
Case Study: Magento E-commerce Site
After deploying WAF + Fail2ban, the number of successful attacks dropped from dozens per day to zero. Administration time decreased by 3 hours per week. Incident recovery costs fell by about 80% — translating to hundreds of about $9–13 in savings per year. Each hour of site downtime costs tens of about $9–13 in savings, and a customer data breach can cause damage up to a million dollars. Thus, the investment in monitoring pays off at the first attack.
Contact us — our engineers will select the optimal toolset for your stack. Order security monitoring setup and get a dashboard with alerts in 1–2 days.