The project currently code-named Thunder Eye is a threat intelligence aggregator that will act as an internal and external search engine for a variety of intelligence purposes. It will collect and store data varying from vulnerability scans, DNS data, breach lists, torrent sites, honeypot networks, and some manually inserted data sourced from our threat hunting and incident response/SOC investigations. It allows our internal team and our clients to benefit from a broad range of data...
JUMPSEC LABS
The JUMPSEC Lab is a place where the technical team get creative and showcase their latest security research, publications, interesting news and general thoughts! We love what we do and are passionate about security, with some great upcoming projects planned, bookmark our site and stick around to see what we are working on.
API Hooking Framework
An API hooking framework, composed by a Windows driver component for library injection, a DLL file for function hooking and reporting, and a web service presenting a user interface and managing the communications between the user and the other components.The framework is aimed towards desktop application testing and vulnerability research: allows a granular monitoring of one or more processes at runtime, giving the ability to transparently change the behaviour of the application, and performs...
A Defender’s Guide For Rootkit Detection: Episode 1 – Kernel Drivers
Recently JUMPSEC’s youngest red team researcher @_batsec_ raised the bar once more using rootkit techniques to universally evade Sysmon.
Bypassing Antivirus with Golang – Gopher it!
In this blog post, we’re going to detail a cool little trick we came across on how to bypass most antivirus products to get a Metepreter reverse shell on a target host. This all started when we came across a Github repository written in Golang, which on execution could inject shellcode into running processes. By simply generating a payload with msfvenom we tested it and found that it was easily detected by Windows Defender. The Meterpreter payload was generated as follows: msfvenom -p...
Enhanced logging to detect common attacks on Active Directory– Part 1
In this blog post I am going to tackle the topic of detecting common attacks using Active Directory logs. It is important to understand the power of data in InfoSec world. Too much data means you’ll be spending rest of the week digging through millions of log entries to try and figure out what the adversary was up to. You can set filters to help you through this, however it can get computationally expensive very fast depending on how your filters operate. It also requires you to know what to...
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