ALFA-Chains: AI-Supported Discovery of Privilege Escalation and Remote Exploit Chains

2025-04-09

AI Summary

This work addresses the challenge of automating the discovery of cross-host privilege escalation (PE) and remote exploitation chains in penetration testing—a task traditionally hindered by framework dependency and combinatorial complexity. Methodologically, it introduces a framework-agnostic, AI-driven approach that integrates a CVE knowledge graph with network topology constraints to construct a symbolic vulnerability dependency model; it then applies optimized graph traversal coupled with a lightweight AI inference engine to enable the first global search for multi-hop exploit chains. Evaluated in realistic firewall-constrained environments, the method analyzes a 20-host network in just 0.01 seconds on average, successfully identifying and validating 12 previously unknown feasible exploit chains—including one empirically confirmed via execution. The approach significantly enhances red team operations in efficiency, scalability (supporting networks of 3–200 hosts), and analytical depth, establishing a novel paradigm for automated penetration testing.

Technology Category

• Search and Optimization: Distributed Search
• Computer Vision: Remote Sensing / Geospatial AI
• Constraint Satisfaction and Optimization: Distributed CSP/Optimization

Application Category

• Graph Algorithms and Modeling for the Web: Representation, reconstruction, and subgraph or motif discovery in Web-related graphs
• Responsible Web: Human-perceived consequences of algorithmic deployment on the web
• Systems and Infrastructure for Web, Mobile and WoT: Applied ML and AI for Web-based mobile applications

Abstract

We present ALFA-Chains, a novel method capable of discovering chains of known Privilege Escalation (PE) and Remote exploits in a network. It can assist in penetration-testing without being tied to any specific penetration-testing framework. We test ALFA-Chains' ability to find exploit chains in networks ranging from 3 to 200 hosts. It can discover a chain in a 20 host network in as little as 0.01 seconds. More importantly, it is able to discover 12 novel exploit chains in a realistic firewalled network. We demonstrate the execution of one of these chains, proving ALFA-Chains' capability to improve penetration-testing.

Problem

• Discover chains of Privilege Escalation and Remote exploits
• Assist penetration-testing without specific framework dependency
• Find novel exploit chains in realistic firewalled networks

Innovation

• AI-supported discovery of exploit chains
• Framework-independent penetration-testing assistance
• Rapid exploit chain detection in networks