Advanced Data Pilfering vs FDsploit: 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. FDsploit 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 running manual assessments against monolithic web applications will find FDsploit valuable for automating the tedious work of chaining file inclusion and directory traversal checks across parameter fuzzing. At 272 GitHub stars with active commit history, the tool has enough community validation to trust its exploitation logic without hand-rolling Python scripts yourself. Skip this if your scope includes modern APIs, microservices, or frameworks with built-in path normalization; FDsploit targets legacy code patterns that automated DAST tools often miss, which is exactly why it exists.
