SysComb: Fine-Grained Transparent System Call Filtering for Attack Surface Reduction
Matthew Rossi, Marco Abbadini, Michele Beretta, Dario Facchinetti, Stefano Paraboschi
Abstract
Restricting the system calls available to applications shrinks the kernel's attack surface and greatly mitigates the impact of compromised programs. Recent approaches showcase techniques to generate system call filters, however, all existing solutions require either kernel or application modifications to activate them at runtime. This is intrusive, error-prone, and often impractical, especially when the code is maintained by external parties. This paper presents SysComb, a novel eBPF-based solution to enforce temporally-specialized system call filters based on the application state, without requiring any modification to the application or the kernel code, and thus addressing the above limitations. Moreover, SysComb lets the developer choose between two distinct enforcement strategies: seccomp-like, ensuring no new privileges are gained after a state transition is performed, and least-privilege, which applies to each state the most restrictive filter. We evaluated SysComb using widely used software, showcasing accurate state-aware system call filtering and an overhead comparable to built-in kernel solutions, demonstrating the practicality of our approach.
Create a lesson
Related papers
Analog Pin Directionality as an Exfiltration Attack Surface in Mixed-Signal ICs
Ramana Ranganatham, Chirag Adiga, Michael Zuzak et al.
Characterizing Network Centralization and Observability in the Remote MCP Ecosystem
Muhammad Abdullah Sohail
When Agents Look Like Beacons: NIDS Evasion by Model Context Protocol Traffic
Muhammad Abdullah Sohail
Hamming Ideals and Grobner Bases for ISD-like Syndrome Decoding
Roberto La Scala, Marco Marchesin, Sharwan K. Tiwari
ASLEval: Measuring Privacy Exposure Displacement in LLM Agent Sessions
Guosen Wu, Huizhen Huang, Guoxiong Long et al.
CASHEWS: Source Preprocessor for LLM-based Malicious Package Detection
Jean-Charles Noirot Ferrand, David Adei, Anders Møller et al.