A modular Python reconnaissance framework that automates asset discovery, service enumeration, and vulnerability assessment for authorized penetration testing and bug bounty engagements.
Resource: https://t.co/TDlHPo9kMl
T3MP3ST
A multi-agent offensive-security framework, built to turn the AI coding agent you already run into a zero-day hunter.
Credit/Source: https://t.co/I5W28Xs9jR
My girlfriend asked why I was smiling at my phone at 3AM.
I lost my job last week.
Rent due in 4 days.
No backup plan.
Then I found a 33-year-old nerd who turned $1,000 into $946,207 trading Bitcoin with a trick he stole from hurricane forecasts.
No finance degree. No trading desk. Just a method every meteorologist uses and every trader ignores.
The method: meteorologists never forecast tomorrow with a single model. They run 31 and count the votes. He applied that exact framework to Bitcoin.
Built a Claude agent that reads every 5-minute BTC candle and feeds it into MiroFish simulator running 31 parallel prediction paths.
Trade only fires when 28 out of 31 models agree.
Below 26 votes? Trade dies instantly.
The agent moves faster than any human trading desk:
→ Collects market data 24/7 without breaks
→ Runs continuous simulations inside MiroFish engine
→ Operates fully autonomous with zero manual input
→ Every trade executes only when consensus hits threshold
→ Every dollar captured is pure market inefficiency exploit
That is the entire edge.
Not prediction. Consensus.
Position sizing follows Kelly criterion. Signal fires or it does not. Most signals fail the vote count, so the system stays flat most days.
He spent years learning that certainty is a scam and consensus is the only edge that matters.
You only need Claude + device + 1 hour per day.
Giving this free for 24 hours.
To get it:
1. Comment the word Claude
2. Like and retweet this
3. Follow me @codewithimanshu so I can DM you
Save this post. Build the consensus system this week. Start with $200. Scale on evidence.
Part 5 of our Command and Control series is out! To stay hidden and maintain access, you have to know the network better than the admins do. This guide shows you how to map out target infrastructure the way cyberwarriors do before deploying any implants.
Read it here: https://t.co/krvYIxCatS
@three_cube@co11ateral
OSINT: Gathering Information on a WhatsApp Account
A phone number alone can reveal profile photos, status updates, and linked devices.
Our guide shows exactly how you can legally and effectively extract intelligence from WhatsApp accounts!
https://t.co/Bpj624Clbm
@three_cube
Find zero-days while you sleep. DeepZero is an automated vulnerability research framework that parses, decompiles, and analyzes thousands of Windows kernel drivers for exploitable IOCTLs natively using AI agents. https://t.co/lACioWjtkf
Reversing Windows Defender Vulnerable Driver: KslD.sys
Welcome to a new Medium post! In this one, I’ll walk you through my reverse engineering process for the vulnerable KslD.sys driver
https://t.co/dtqaCmUYsf
Inspired by:
https://t.co/OfGbDPmNIX
15-stage Windows malware development & analysis course in Rust. Red team builds it, blue team detects it. All 15 binaries achieved 0/76 on VirusTotal. https://t.co/Ggah7Lfaxk
This 30-min workshop by the creator of Claude Code will teach you more about vibe-coding than 100 YouTube video guides.
Bookmark it & give it 30 minutes today. This video will change the way you use Claude forever.
GOOGLE BUILT A SECRET WEAPON FOR FILE DETECTION
they ran it internally for years, gmail, drive, safe browsing, hundreds of billions of files every week
then they open sourced it
it's called magika and it exposes what files really are, not what they pretend to be
rename malware to "resume.pdf"? magika sees through it
disguise a script as an image? magika sees through it
any trick attackers use with file extensions? magika sees through all of it
ai trained on 100 million files. 200+ content types. 99% accuracy. 5ms per file
one command
`pip install magika`
the same tool protecting google's billion users is now protecting yours
https://t.co/Jr3LjmQobq
During pentests you often find endpoints protected by AV/EDR that cannot be disabled locally because they are managed by centralized security systems. This means you can’t run your tools on those machines.
In our article, we showed how digital forensics can be used to extract NTLM hashes from workstations with the help of legitimate tools with any AV running.
To protect against this, keep Credential Guard enabled and monitor the execution of forensic tools across your systems
https://t.co/phV5wNPfBZ
@three_cube@_aircorridor #dfir #redteam #blueteam