Cybrary Challenges

In this challenge, you will take on a Digital Forensics challenge by analyzing a potentially malicious memory dump. By analyzing these artifacts, you the investigator will be able to determine evidence of malicious activity on a compromised system.

In this challenge, you will take on a memory forensics challenge by analyzing a dump file. Memory forensics is an important piece of evidence when conducting a forensics investigation. Unique insights such as network connections and injected processes can be found through memory analysis.

In this challenge, you will take on a Digital Forensics challenge by parsing and analyzing Windows artifacts. By analyzing these artifacts, investigators are able to prove suspected user behavior.

In this challenge, you will take on a reverse engineering challenge by analyzing a binary file. Malicious attackers will commonly use malware or custom binary files to execute their goals. The goal is to show from an analyst POV how to do basic file analysis.

In this challenge, you will take on a reverse engineering challenge by analyzing a binary file. Malicious attackers will always use malware or custom binary files to execute their goals. The goal is to show from an analyst POV how to do basic file analysis.

In this challenge, you will take on a reverse engineering challenge by analyzing a binary file. Malicious attackers will always use malware or custom binary files to execute their goals. The goal is to show from an analyst point of view (POV) how to do basic file analysis.

You will take on a cryptography challenge in this challenge by decrypting intercepted encrypted messages. Malicious attackers use cryptography to their advantage for attacks and remaining undetected. The goal is to show how attackers can effortlessly embed data within messages to hide their activity.

In this challenge, you will take on a cryptography challenge by decrypting intercepted encrypted messages. Malicious attackers use cryptography to their advantage for attacks and remaining undetected. The goal is to show how attackers can effortlessly embed data within messages to hide their activity.