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Releasing an Abuse.ch toolkit for threat intelligence
Introduction # While working on the post “Interview preparation for a Cyber Threat Intelligence role”, I realized that a lot of CTI tools need a subscription or a license in order to be used.
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KawaiiGPT - Deep dive into the "malicious LLM"
Introduction # I first read about KawaiiGPT in a blog post from Unit 42, where it was described as “an accessible, entry-level, yet functionally potent malicious LLM”.
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Interview preparation for a Cyber Threat Intelligence role
Introduction # I didn’t find any interview guide for Cyber Threat Intelligence (CTI) roles that satisfied me (I’m not interested in AI slop), so I decided to write one!
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The subtle art of jailbreaking LLMs
Introduction # Lately, my feed has been filled with posts and articles about jailbreaking Large Language Models.
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Adventures in Ad-Land: detect malvertising with seads
The following paragraph was added on June 15, 2024.
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Dissecting an Android stalkerware
In this technical blog post, we will examine the components of a stalkerware app designed for Android devices and marketed towards Italian customers.
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Phishing findings, campaign #3: ING bank
I started hunting and reporting phishing websites on Twitter: follow me here if you are interested!
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PhishFlood: a poc for flooding phishing kits
Introduction # If you use Twitter to stay up to date with the latest security news, you may have noticed a community of researchers reporting phishing websites and scam pages every day (if you want to follow them, phishunt.io have a good list of profiles…
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Emotet infection from PHP: generation of a malicious doc
Introduction # During 2020, the Emotet malware distribution was silent between the beginning of February and the middle of July; this was the longest known break for Emotet.
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Proof of concept of a ransomware in Go
Introduction # This is a blog post about my last project: andpalmier/goransom A proof of concept of a super simple ransomware written in Go Go 9 4 which is a proof of concept for a simple ransomware written in Go.
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Phishing findings, campaign #2: content.zip (LinkedIn)
I started hunting and reporting phishing websites on Twitter: follow me here if you are interested!
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Machine Learning and phishing, pt. 2: Random Forest
I started hunting and reporting phishing pages on Twitter, follow me here if you are interested!
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Phishing findings, campaign #1: u.zip (Office365/Outlook)
I started hunting and reporting phishing websites on Twitter: follow me here if you are interested!
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Machine Learning and phishing, pt. 1: Decision Trees
Last week I started hunting and reporting phishing websites on Twitter (follow me here if you are interested).
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Practical malware analysis: solutions for Lab 1
I am trying to acquire some knowledge on malware analysis by using ‘Practical Malware Analysis’ (by Sikorski, Michael, and Andrew Honig, 2012).
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F-Droid apps you will find useful
What is F-Droid?