Advanced Data Pilfering vs getallurls (gau): Side-by-Side Comparison (2026)
Features, pricing, ratings, and pros & cons — compared head-to-head.
Advanced Data Pilfering is a commercial penetration testing tool by Horizon3.ai. getallurls (gau) is a free penetration testing tool. Compare features, ratings, integrations, and community reviews side by side to find the best penetration testing fit for your security stack.
CST VerdictBased on our analysis of NIST CSF 2.0 coverage, core features, company size fit, deployment model, here is our conclusion:
Mid-market and enterprise security teams that need to validate whether their defenses actually stop data exfiltration should run Advanced Data Pilfering; most pentesting tools test access, not what attackers do once inside. Horizon3.ai's autonomous approach maps high-value assets and simulates realistic data theft across cloud, Kubernetes, and on-premises environments, delivering the threat-informed validation that compliance frameworks like PCI DSS and NIS 2 increasingly demand. Skip this if your team wants a single platform covering vulnerability scanning, SIEM, and incident response; Advanced Data Pilfering is purpose-built for exfiltration testing and doesn't replace your broader detection stack.
Penetration testers and bug bounty hunters doing reconnaissance will move faster with getallurls than manually querying individual URL sources; it aggregates results from CommonCrawl, URLScan, and Wayback Machine in a single pass. The tool has 4,549 GitHub stars and runs for free, making it a no-friction addition to any recon workflow. Skip this if you need real-time monitoring or filtered results; getallurls surfaces historical URLs without deduplication or relevance ranking, leaving you to sort signal from noise.
