Given the explosion of development and interest in deep learning models in the past year, we decided to research on the topic to increase our know-how and find applications where these technologies can be leveraged in offensive security engagements.
This posts explores the use of machine learning for voice cloning and how it can be used for social engineering.
Once again, reading blogs and tweets from James Forshaw led me to wonder how things work. This time, I was working on DCOM for my last blog post and while reading about cross-session activation, I had trouble believing what I was reading.
Last year we participated in the Pwn2Own 2023 Toronto competition and successfully exploited the Synology BC500 camera. The DEVCORE Internship Program team managed to exploit a bug in the TP-Link Omada Gigabit VPN Router. So I was naturally curious and wanted to figure out how difficult it would be to recreate that exploit having access only to a high-level bug description and the firmware.
To identify and understand threats and weaknesses of smart contracts, it is important to be at least familiar with common smart contract bugs and vulnerabilities, how they can be leveraged by a malicious attacker, and how these issues can be mitigated.
This blog article aims to raise awareness about common smart contract vulnerabilities and their corresponding mitigation strategies.
In this final part of this series, we are finally going to explain how the stack-based buffer overflow vulnerability can be exploited to gain unauthenticated remote code execution (RCE) on the Synology BC500 camera.
In this fourth part of the series, we analyze the memory corruption identified previously and manage to overwrite the program pointer!
In this third part of the series, we focus on the exposed web services running on TCP ports 80 and 443.
Since a valid exploit chain must achieve code execution without prior authentication, we focus on the available functionality that can be accessed without authentication.
In this second blog post of the series, we start with the reconnaissance phase on the camera, a crucial step in understanding our target.
The aim here is to gather information about the target and identify potential vulnerabilities.
Around a year ago a few Compass analysts watched a talk at the Insomni’Hack conference about the Pwn2Own contest.
This is when they decided to take part! In this blog post, they talk about how they picked their target, got the firmware from the camera, and got into the shell.
What are LLMs LLMs (Large Language Models) are language models with a large number of parameters. These parameters are the model’s variables, which it learns during training. Typically, this training is unsupervised learning on a large data set, during which the algorithm tries to find patterns in the provided data. The more it learns, the […]
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