I’ve been building my own Red Team tooling here’s what I’ve learned so far
Source Reddit Cybersecurity
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This content describes the development of custom Red Team tooling by a cybersecurity researcher to address common challenges in penetration testing workflows. The tools focus on reconnaissance, vulnerability scanning, proxy rotation, and AI-assisted security operations, aiming to integrate these functions into a cohesive workflow. No specific vulnerability or exploit is reported.
r/cybersecurity (opens in a new tab)u/karimfayadd0 points0 comments
I’ve been spending a lot of time building security tooling for my own research and authorized testing rather than relying entirely on existing frameworks.
A few of the problems I kept running into were surprisingly simple:
Recon gets repetitive.
You end up running the same discovery, probing, fingerprinting and enumeration workflows over and over.
Tooling becomes fragmented.
One tool handles recon, another handles scanning, another handles proxies, another handles reporting, and keeping everything coordinated becomes its own problem.
Automation can become dangerous if scope isn’t treated as a first-class concept.
For me, authorization and target scope aren’t something that should be left to the operator to remember every time.
So I started building my own tooling around those problems.
I’ve ended up with several projects:
S1MPLE — a reconnaissance engine focused on attack-surface discovery, HTTP/service probing, fingerprinting, exposure/secret discovery, structured results, resumable workflows and scope controls.
ALBATOUL — a native Rust Windows vulnerability scanner with CVE detection and multiple specialized vulnerability hunters, together with engagement profiles, authorization/scope controls and reporting.
4100 — a native Rust proxy-rotation system designed around proxy health, rotation strategies, scope enforcement, rate control and fail-safe behavior. It can also be integrated into other security-tool workflows.
MrR0b0t — a terminal-based AI security agent designed to put multiple AI providers/models into a workflow for security research, reconnaissance, exploitation and reporting.
The interesting part wasn’t just writing the individual tools.
It was figuring out how they should work together.
For example:
Recon → identify attack surface → control traffic → investigate → validate → document
rather than having a collection of completely disconnected scripts.
I’m still improving the projects, and there are definitely things I’d change after using them.
I’m interested in hearing from people who build or use their own security tooling:
What part of your Red Team / vulnerability-research workflow do you still find unnecessarily manual?
I’ve documented the projects here for anyone interested in looking at the implementation:
github.com/karimfayadd