Web Application Attack Lab

A home SOC lab simulating real-world web application attacks against a deliberately vulnerable target, with full log ingestion, detection rules, and a Kibana dashboard built on top of the attack data.

Overview

This lab sets up DVWA (Damn Vulnerable Web Application) as a target and runs six categories of attacks from both a browser and a Kali Linux VM. All traffic is logged by Apache and shipped to Elasticsearch via Filebeat for detection and analysis in Kibana.

Target: DVWA on Ubuntu 26.04 ARM64
Attack platform: Kali Linux 2023 ARM64
Log pipeline: Apache → Filebeat → Elasticsearch → Kibana
Host: Apple Mac Mini M4, 32GB RAM, macOS (UTM virtualization)

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Lab Environment

VM	IP	OS	Role
Ubuntu-SIEM	192.168.1.58	Ubuntu 26.04 ARM64	Target / SIEM host
Kali Linux	192.168.1.18	Kali 2023 ARM64	Attack platform

Stack versions:

• Elasticsearch 8.19.14
• Kibana 8.19.14
• Filebeat 8.19.14
• Apache 2.4.66

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Attacks Performed

Attack	Tool	Result
SQL Injection (manual)	Browser	Dumped all users and MD5 hashes
Command Injection	Browser	RCE as www-data, dumped /etc/passwd
XSS Reflected	Browser	Script executed in browser
Web Scanner	Nikto	16 findings, 8,102 requests in 6 seconds
Brute Force	Hydra + rockyou.txt	Credentials found in 8 attempts
Automated SQLi	SQLmap	3 injection types, 3 databases enumerated

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Screenshots

Kibana Dashboard

Nikto Web Scanner

Hydra Brute Force

SQLmap Automated Injection

Kibana Apache Logs

Detection Rule - SQL Injection

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Detection Rules

Three detection rules were created in Kibana Security under the filebeat-* index, each running on a 1-minute schedule with a 5-minute look-back window.

Web Scanner Detected
Threshold rule — triggers when a single source IP exceeds 100 requests per minute against the application. Catches automated scanner behavior like Nikto.

SQL Injection Attempt
Custom query rule — triggers on URL parameters containing SQL keywords including SELECT, UNION, and quote characters. Caught 166 events across manual and automated injection tests.

Brute Force Login
Threshold rule — triggers when a single source IP sends more than 10 POST requests to the login page within 1 minute. Hydra generated 239 POST requests in under 15 seconds.

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Kibana Dashboard

The Web App Attack Dashboard uses the filebeat-* index filtered to event.module: apache and contains six panels:

• Web Attack Traffic Over Time — bar chart split by source IP showing the Nikto spike
• Top Attacking IPs — Kali at 9,401 requests vs host browser at 151
• HTTP Response Codes — breakdown of 200s, 302s, 404s, and 500s
• HTTP Methods — pie chart showing GET at 98.83% and POST at 0.97%
• Top Requested URLs — login page, DVWA root, setup and index pages
• Top User Agents — sqlmap/1.7.8, Nikto/2.5.0, CVE-2014-6271 Shellshock probe string

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Key Findings

• No input validation on any tested DVWA parameter — SQL injection and command injection required no tools beyond a browser
• Admin account used a weak password found in rockyou.txt within 8 attempts — no lockout policy was in place
• Nikto identified an exposed .git directory including HEAD and config files
• The /DVWA/config/ and /DVWA/database/ directories were publicly accessible with directory indexing enabled
• SQLmap confirmed three distinct injection techniques against the same parameter
• Nikto probed for Shellshock (CVE-2014-6271), leaving a distinctive user agent string in Apache logs

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Files

File	Description
web_app_attack_lab_report.pdf	Full lab report
filebeat.yml	Filebeat configuration used for Apache log ingestion
dashboard_export.ndjson	Kibana dashboard export
detection_rules_export.ndjson	Kibana detection rules export
web-attack-dashboard.png	Dashboard screenshot
nikto_scan.png	Nikto scan output
hydra_brute_force.png	Hydra brute force output
sqlmap_output.png	SQLmap injection output
kibana_apache_logs.png	Kibana Discover showing Apache logs
detection_rule_sql_injection.png	SQL injection detection rule

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Other Labs in This Series

Lab	Topic	Repo
Lab 1	SOC/SIEM Detection	soc-home-lab
Lab 2	Incident Response Simulation	incident-response-lab
Lab 3	Web Application Attack	This repo
Lab 4	Vulnerability Assessment	vulnerability-assessment-lab
Lab 5	Malware Analysis	malware-analysis-lab