ConcoLLMic

ConcoLLMic: Agentic Concolic Execution Paper : IEEE S&P 2026 ConcoLLMic is the first language- and theory-agnostic concolic executor powered by LLM agents. Unlike traditional symbolic execution tools that require language-specific implementations and struggle with constraint solving, ConcoLLMic:...

Angora

Angora Angora is a mutation-based coverage guided fuzzer. The main goal of Angora is to increase branch coverage by solving path constraints without symbolic execution. Published Work Arxiv: Angora: Efficient Fuzzing by Principled Search, S&P 2018. Building Angora Build Requirements Linux-amd64...

SysFuSS: System-Level Firmware Fuzzing with Selective Symbolic Execution

Firmware serves as the critical interface between hardware and software in computing systems, making any bugs or vulnerabilities particularly dangerous as they can cause catastrophic system failures. While fuzzing is a promising approach for identifying design flaws and security vulnerabilities,...

MultiFuzz: a Dense Retrieval-Based Multi-Agent System for Network Protocol Fuzzing

Traditional protocol fuzzing techniques, such as those employed by AFL-based systems, often lack effectiveness due to a limited semantic understanding of complex protocol grammars and rigid seed mutation strategies. Recent works, such as ChatAFL, have integrated Large Language Models LLMs to guid...

Huawei HarmonyOS 处理逻辑错误漏洞

Huawei HarmonyOS is an operating system from Huawei China. It provides a full-scenario distributed operating system based on a microkernel. A Processing Logic Error vulnerability exists in Huawei HarmonyOS, which arises from improper implementation of processing logic or incomplete branch coverag...