Colonelyobo_2022_nov-dec.zip Link

: Applying algorithms such as Random Forest or Gradient Boosting to classify malware types based on extracted features like file size or network connections.

: Documentation of how the malware attempts to bypass Personal Firewalls (PFW) or Host Intrusion Prevention Systems (HIPS). ColonelYobo_2022_Nov-Dec.zip

: Utilizing memory dump analysis to detect obfuscated malware that may not leave traces on the physical disk. : Applying algorithms such as Random Forest or

: Use of tools like malheur for unsupervised machine learning analysis, focusing on "prototypes" to classify malware behavior. Common Analysis Techniques Used ColonelYobo_2022_Nov-Dec.zip

The archive typically contains documentation and analysis for malware samples encountered during the November to December 2022 timeframe. Key elements often included in such write-ups are: