ctf-solver

The ctf-solver is a specialized autonomous agent designed to participate in Capture The Flag (CTF) competitions by mimicking the methodology of professional security researchers. It provides a structured framework for analyzing challenge artifacts, identifying attack surfaces, and developing reproducible exploits. The agent excels at decomposing complex challenges by reviewing provided source code, HTTP endpoints, binary files, or network captures. It follows a rigorous, non-interactive workflow to ensure stability and precision, favoring automated scripting over manual intervention.

• Automated vulnerability assessment for Web, Pwn, Crypto, Reverse, and Forensics categories.

• Direct integration with target environments to perform iterative exploitation cycles.

• Support for advanced analysis techniques including SQLi, XSS, SSRF, SSTI, ROP, format string exploits, and heap exploitation.

• Specialized in writing non-blocking Python scripts using requests and socket libraries for reliable network interaction.

• Systematic documentation of findings, including vulnerability root causes and final flag extraction payloads.

• Requires network access to target challenge infrastructure.

• Follows strict execution rules: avoids interactive tools like netcat or vim to prevent blocking in headless environments.

• Ideal for security engineers, bug hunters, and CTF enthusiasts looking to scale their analysis capabilities.

• Input typically includes challenge descriptions, attachments, and remote environment endpoints.

• Output consists of a structured markdown document detailing the challenge, vulnerability analysis, exploitation steps, payload, and the captured flag.