EUVD-2021-0418

Malware in sbrugna...

EUVD-2021-0429

Malware in sbrugna...

EUVD-2021-0266

Malware in sbrugna...

EUVD-2021-0292

Malware in sbrugna...

EUVD-2021-0321

Malware in sbrugna...

EUVD-2021-0441

Malware in sbrugna...

EUVD-2021-0435

Malware in sbrugna...

EUVD-2021-0391

Malware in sbrugna...

EUVD-2021-0426

Malware in sbrugna...

EUVD-2021-0377

Malware in sbrugna...

EUVD-2021-0324

Malware in sbrugna...

EUVD-2021-0333

Malware in sbrugna...

EUVD-2021-0360

Malware in sbrugna...

EUVD-2021-0327

Malware in sbrugna...

EUVD-2021-0357

Malware in sbrugna...

EUVD-2021-0349

Malware in sbrugna...

EUVD-2021-0420

Malware in sbrugna...

EUVD-2021-0283

Malware in sbrugna...

EUVD-2021-0373

Malware in sbrugna...

How we trained an ML model to detect DLL hijacking

DLL hijacking is a common technique in which attackers replace a library called by a legitimate process with a malicious one. It is used by both creators of mass-impact malware, like stealers and banking Trojans, and by APT and cybercrime groups behind targeted attacks. In recent years, the numbe...