Detect attacks hiding in your server logs
Every attack leaves traces in your access logs before it succeeds — SQL injection probes, XSS attempts, path traversal, vulnerability scanners mapping your attack surface. LogBeast identifies 30+ attack patterns and scanner signatures automatically.
What attacks look like in server logs
Your access log records every HTTP request, including malicious ones. Here are real-world attack patterns LogBeast detects:
SQL injection attempts
Attackers inject SQL syntax into URL parameters and form fields, hoping to extract or manipulate your database:
GET /search?q=admin' UNION SELECT username,password FROM users-- HTTP/1.1
GET /page?id=1;DROP TABLE users-- HTTP/1.1
Cross-site scripting (XSS)
Script injection attempts that try to execute JavaScript in your users' browsers:
GET /comment?text=<img src=x onerror=alert(1)>
Path traversal
Attempts to access files outside the web root by traversing directory structures:
GET /..%2f..%2f..%2fetc/shadow HTTP/1.1
GET /wp-content/../../../wp-config.php HTTP/1.1
WordPress-specific attacks
POST /xmlrpc.php HTTP/1.1
GET /wp-content/plugins/revslider/temp/update_extract/ HTTP/1.1
GET /.env HTTP/1.1
SQL Injection
Detects UNION SELECT, OR 1=1, DROP TABLE, and dozens of SQLi patterns in query strings, paths, and POST bodies.
Cross-Site Scripting
Identifies script tags, event handlers (onerror, onload), javascript: URIs, and encoded XSS payloads.
Path Traversal
Catches ../ sequences, URL-encoded variants (%2e%2e), and attempts to access /etc/passwd, wp-config.php, .env files.
Command Injection
Detects shell commands in parameters: pipe operators, backticks, $() subshells, common commands (cat, ls, wget, curl).
30+ vulnerability scanners detected
Scanner activity often precedes real attacks. When you see a scanner in your logs, someone is mapping your attack surface. LogBeast identifies:
Scanners are a warning signal
A vulnerability scanner in your logs means someone is actively looking for weaknesses in your site. Automated scanners test thousands of known vulnerabilities in minutes. If they find one, the actual exploitation often follows within hours. Early detection gives you time to patch and harden.
Suspicious IP identification
LogBeast automatically flags IPs exhibiting attack behavior:
- IPs sending attack payloads (SQLi, XSS, path traversal patterns)
- IPs with abnormally high request rates (potential DDoS or brute force)
- IPs hitting non-existent admin paths (/wp-admin on non-WordPress sites, /phpmyadmin, /.env)
- IPs using known scanner user agents
- IPs with high 4xx error rates (probing for vulnerabilities)
For each suspicious IP, LogBeast provides: total requests, attack types detected, targeted URLs, geographic origin, and recommended action (block, rate limit, or monitor).
Security meets SEO
Security issues directly impact your SEO:
- Hacked pages in the index: Attackers inject spam content or cloaked pages. Google indexes them, damaging your site's reputation and triggering manual actions.
- Server slowdowns: DDoS attacks and aggressive scanners slow your server, hurting Core Web Vitals for real users and reducing crawl rate.
- Spam link injection: Attackers add hidden links to gambling or pharma sites, diluting your link equity.
- Malware warnings: If Google detects malware on your site, it adds a "This site may be hacked" label to search results, destroying click-through rates.
Your WAF isn't enough
Web Application Firewalls block known attacks, but they don't give you visibility. You need to see what's being attempted, even if it's blocked, to understand your threat landscape. Server logs capture everything — blocked and unblocked — giving you the full picture that a WAF dashboard alone can't provide.
Frequently asked questions
Can LogBeast replace a WAF?
No. LogBeast is an analysis tool — it detects and reports attacks from historical logs. A WAF blocks attacks in real time. They complement each other: use a WAF for protection and LogBeast for analysis, pattern detection, and understanding your threat landscape.
Does it detect zero-day attacks?
LogBeast uses pattern-based detection for known attack signatures. Novel zero-day payloads may not match existing patterns, but the behavioral analysis (suspicious IPs, abnormal request rates, scanner detection) often catches the reconnaissance that precedes zero-day exploitation.
How far back should I analyze logs?
At minimum, 30 days. For comprehensive security analysis, 90 days reveals patterns that shorter periods miss — like slow, distributed attacks from rotating IPs.
Is my log data safe?
100% safe. LogBeast runs entirely in your browser. Your log files — which may contain sensitive IP addresses and request data — never leave your machine. No uploads, no cloud processing.
What should I do when LogBeast finds attacks?
1) Block the most active attacker IPs in your WAF or firewall. 2) Check if any attacks succeeded (200 responses to attack URLs). 3) Patch the vulnerabilities being targeted. 4) Set up ongoing monitoring.
Related features
Find attacks hiding in your logs
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