IMF World
Joined May 2010
- Tweets518
- Following463
- Followers306
- Likes1.4K
Trying to Fix ...! retweeted
π ETHICAL HACKING TOOLS
β
β£ π Reconnaissance
β β£ π Shodan
β β£ π theHarvester
β β£ π Maltego
β β£ π Amass
β β£ π Subfinder
β β π WHOIS
β
β£ π Scanning & Enumeration
β β£ π Nmap
β β£ π Masscan
β β£ π RustScan
β β£ π enum4linux
β β£ π SNMPwalk
β β π Netcat
β
β£ π Web Application Testing
β β£ π Burp Suite
β β£ π OWASP ZAP
β β£ π Nikto
β β£ π Gobuster
β β£ π ffuf
β β π Dirsearch
β
β£ π Exploitation
β β£ π Metasploit
β β£ π Searchsploit
β β£ π BeEF
β β£ π SQLmap
β β£ π Commix
β β π RouterSploit
β
β£ π Credential Attacks
β β£ π Hashcat
β β£ π John the Ripper
β β£ π Hydra
β β£ π Medusa
β β£ π CeWL
β β π Crunch
β
β£ π Wireless Security
β β£ π Aircrack-ng
β β£ π Kismet
β β£ π Wifite
β β£ π Bettercap
β β£ π Reaver
β β π hcxdumptool
β
β£ π Network Analysis
β β£ π Wireshark
β β£ π tcpdump
β β£ π Ettercap
β β£ π Bettercap
β β£ π TShark
β β π Scapy
β
β£ π Active Directory
β β£ π BloodHound
β β£ π NetExec
β β£ π Impacket
β β£ π Certipy
β β£ π Rubeus
β β π Mimikatz
β
β£ π Cloud Security
β β£ π ScoutSuite
β β£ π Prowler
β β£ π Pacu
β β£ π Trivy
β β£ π kube-hunter
β β π kube-bench
β
β£ π Reverse Engineering
β β£ π Ghidra
β β£ π IDA Free
β β£ π x64dbg
β β£ π Radare2
β β£ π Cutter
β β π Binary Ninja
β
β£ π OSINT
β β£ π SpiderFoot
β β£ π Sherlock
β β£ π Recon-ng
β β£ π PhoneInfoga
β β£ π GHunt
β β π Holehe
β
β£ π Containers & DevSecOps
β β£ π Trivy
β β£ π Dockle
β β£ π kube-bench
β β£ π kube-hunter
β β£ π Docker Bench
β β π Checkov
β
β£ π Reporting
β β£ π Dradis
β β£ π Ghostwriter
β β£ π Serpico
β β£ π CherryTree
β β£ π Obsidian
β β π Markdown
β
β£ π Practice Labs
β β£ π Kali Linux
β β£ π Parrot OS
β β£ π Hack The Box
β β£ π TryHackMe
β β£ π PortSwigger Academy
β β π VulnHub
β
β π Security Resources
β£ π CyberChef
β£ π Exploit-DB
β£ π SecLists
β£ π GTFOBins
β£ π LOLBAS
β π VirusTotal
Trying to Fix ...! retweeted
Stop ignoring ports.
You can learn a lot about network activity just by recognizing the service behind the traffic.
Start with these 5:
22 β SSH
443 β HTTPS
3389 β RDP
445 β SMB
53 β DNS
Trying to Fix ...! retweeted
Instead of watching an hour of Netflix, watch this 2 hour hour Stanford lecture will teach you more about how LLMs like ChatGPT and Claude are built than most people working at top AI companies learn in their entire careers.
Trying to Fix ...! retweeted
π§ AI-Powered Red Team β 28 Specialized Agents for Offensive Security π€π₯
Turn Claude into a full pentesting team.
β’ 28 agents (Recon, AD, Web, Cloud, Mobile)
β’ Auto task routing β correct agent
β’ Real tools support (nmap, sqlmap, nuclei, BloodHound)
β’ Recon β Exploit β Report
Link: github.com/0xSteph/pentest-aβ¦
#AI #RedTeam #Pentesting #CyberSecurity #Infosec
Trying to Fix ...! retweeted
Hereβs a clean, practical roadmap for a beginner SOC Analyst π
1. Foundations (Must not skip)
Networking basics (IP, DNS, HTTP, ports, OSI model)
Linux basics (file system, permissions, basic commands)
Windows fundamentals (Event Viewer, processes, services)
2. Core Security Concepts
CIA triad, threat types, attack vectors
Malware basics
Authentication & authorization
Common attacks (phishing, brute force, MITM)
3. SOC Tools Basics
SIEM tools (start with Splunk or Elastic)
Log analysis (Windows + Linux logs)
Basic alert triage
4. Hands-on Practice
TryHackMe SOC paths
Blue team labs (log analysis, incident detection)
Basic packet analysis (Wireshark)
5. Scripting Basics
Python (basic automation)
Bash (Linux automation)
6. Entry-Level Skills
Incident detection & response flow
Writing basic incident reports
Understanding false positives vs real threats
7. Job Readiness
Build a small home lab
Practice real SOC scenarios
Learn how to explain investigations clearly
Prepare for interviews (scenario-based questions)
Final mindset shift:
SOC is not about knowing everythingβitβs about noticing what others miss.
Trying to Fix ...! retweeted
Telegram OSINT Intelligence
D4rk_Intel-OSINT-Investigative-Toolkit has been updated with Telegram OSINT - a powerful angle for investigations, as the platform hosts vast amounts of public data that isn't always easy to navigate with its native search.
#OSINT #Cybersecurity
Trying to Fix ...! retweeted
The Local LLM Cheat Sheet for your 32GB RAM device
I was asked to put together a practical lineup of local models that fit comfortably on a 32GB machine.
At this tier, you start getting access to real flagship-class local models, plus a growing number of custom quants. But for most people, these are the core models worth knowing first.
Flagship Models
Qwen3.5 27B / GGUF / Q6_K_M
The best overall 32GB flagship. General chat, writing, research, and agent workflows. Great if you want one model that can handle almost everything well.
Qwen3.6-35B-A3B / GGUF / UD-Q4_K_M
Best MoE flagship. Stronger for coding, reasoning, and tool use than most smaller generalists.
Gemma 4 31B / GGUF / Q6_K_M
Dense premium model. Writing, analysis, reasoning, and high-end local chat. Heavier than the MoE options, but excellent when quality matters more than speed.
Models for Fast Flagship Use
Gemma 4 26B A4B / GGUF / Q6_K_M
Great balance of speed and quality for general assistant work, coding, agent tasks, and research. This is one of the best 32GB picks if you want something that feels high-end without dragging.
DeepSeek-R1 Distill Qwen 32B / GGUF / Q4_K_M
Offline reasoning engine. Best for math, logic, deliberate analysis, and step-by-step problem solving.
Mistral Small 24B / GGUF / Q6_K_M
Tool-calling specialist. Strong for assistants, chat workflows, local business tasks, and function calling. Available for 24GB machines.
Models for Companion Use
Qwen3.5 9B / GGUF / Q6_K_M
Best sidekick. Fast drafts, search loops, cheap retries, and secondary agent work. Even on a 32GB machine, you still want a smaller model around for support tasks.
Llama 3.1 8B / GGUF / Q6_K_M
Long-context companion. RAG, doc ingestion, codebase chat, and long prompts. The output quality is not the sharpest anymore, but it is still useful when needing simple tasks fast.
From what my community tells me, the best single models are Qwen3.5 27B or Gemma 4 31B.
For two models, the strongest general pairing is Qwen3.5 27B + Qwen3.5 9B.
If you are more code-heavy, Qwen3.6-35B-A3B + Llama 3.1 8B.
Let me know what models you are running on 32GB, and which ones have actually been worth the RAM.
The Local LLM cheat sheet for your 16GB RAM device
I pulled together a lineup of small models that can run comfortably on a Mac Mini or personal laptop while still leaving room for context without melting your machine.
Models for Daily Use
Qwen3.5 9B / GGUF / Q4_K_M
Daily driver. General chat, drafting, research, translation. If you're keeping only one, keep this.
DeepSeek-R1 Distill Qwen 7B / GGUF / Q4_K_M
Reasoning engine. Math, logic, step-by-step problems. Slower, but worth it when you need actual thinking.
Models for Specialty Work
Qwen2.5 Coder 7B / GGUF / Q4_K_M
Code specialist. Completions, refactors, debugging, repo Q&A. Better than a generalist when the task is code.
Llama 3.1 8B / GGUF / Q4_K_M
Long context worker. RAG, doc chat, codebase Q and A. The output isn't top tier, but the context is strong for its size.
Phi-4 Mini Reasoning / GGUF / Q4_K_M
Compact thinker. Logic, structured answers, math, and short coding bursts. Smaller context is the catch.
Models for Efficiency
Gemma 4 E4B / GGUF / Q4_K_M
Light all-rounder. Writing, chat, light agents, structured output.
Phi-3.5 Mini / GGUF / Q5_K_M
Pocket sidekick. Summaries, extraction, background doc chat. Easy to pair with a bigger model.
Qwen3.5 2B / GGUF / Q4_K_M
Useful for summaries, tagging, rewrites, and lightweight sidekick work.
Micro Models
Qwen3.5 0.8B / GGUF / Q5_K_M
Classification, keyword routing, binary decisions, triage.
Gemma 4 E2B-it / GGUF / Q4_K_M
Lightweight chat, quick Q and A, summaries, tiny agents.
My personal choice for a single model is Qwen3.5 9B
For two models use Qwen3.5 9B + Qwen2.5 Coder 7B for code, or Qwen3.5 9B + Phi-3.5 Mini for support tasks.
Let me know in the comments your experience with these models, or any I have left out.
Trying to Fix ...! retweeted
Android Application Penetration Testing, Part 1: The Setup
Resource: medium.com/@joelsunny.ch/andβ¦
Trying to Fix ...! retweeted
Read these books if you want to learn quickly and easily
- Linux hackersarise.thinkific.com/cβ¦
- Metasploit hackersarise.thinkific.com/cβ¦
- Network hackersarise.thinkific.com/cβ¦
- Ethical hacking process hackersarise.thinkific.com/cβ¦
