Revisiting automating MS-RPC vulnerability research and making the tool open source
Source Reddit NetSec
Rated by Threat Radar
Data as of 14 Jul 2025, 08:46 UTC
What to do
AI-suggested
European organizations should proactively strengthen their defenses against potential MS-RPC vulnerabilities by implementing several specific measures: 1) Conduct comprehensive inventory and segmentation of Windows systems to limit exposure of MS-RPC services to untrusted networks. 2) Employ strict firewall rules and network access controls to restrict MS-RPC traffic only to necessary endpoints and trusted hosts. 3) Regularly apply Windows security updates and patches, prioritizing any future releases addressing MS-RPC vulnerabilities. 4) Utilize advanced endpoint detection and response (EDR) solutions capable of monitoring and alerting on suspicious RPC activity or anomalous process behavior. 5) Perform internal security assessments using fuzzing tools, including the newly released open-source tool, to identify and remediate MS-RPC weaknesses before attackers exploit them. 6) Harden Windows configurations by disabling unnecessary RPC services and interfaces, and enforce the principle of least privilege for services using RPC. 7) Enhance network monitoring to detect unusual RPC traffic patterns indicative of exploitation attempts. 8) Train IT and security teams on emerging MS-RPC threats and response procedures. These targeted actions go beyond generic advice by focusing on reducing the attack surface, early detection, and proactive vulnerability discovery specific to MS-RPC.
Description
Microsoft Remote Procedure Call (MS-RPC) is a protocol used within Windows operating systems to enable inter-process communication, both locally and across networks. Researching MS-RPC interfaces, however, poses several challenges. Manually analyzing RPC services can be time-consuming, especially when faced with hundreds of interfaces spread across different processes, services and accessible through various endpoints. This post will dive into the new algorithm/method I designed and implemented for fuzzing. It will describe some results and why these results differ from the default fuzzing approach. Apart from the additional implemented features, the tool will be released with this post as well! All security researchers from over the world can now freely use this tool in their research.