3410 matches found
EUVD-2021-0367
Malware in sbrugna...
EUVD-2021-0324
Malware in sbrugna...
EUVD-2021-0405
Malware in sbrugna...
EUVD-2021-0448
Malware in sbrugna...
EUVD-2021-0419
Malware in sbrugna...
EUVD-2021-0315
Malware in sbrugna...
EUVD-2021-0283
Malware in sbrugna...
EUVD-2021-0443
Malware in sbrugna...
EUVD-2021-0288
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...
Detecting DLL hijacking with machine learning: real-world cases
Introduction Our colleagues from the AI expertise center recently developed a machine-learning model that detects DLL-hijacking attacks. We then integrated this model into the Kaspersky Unified Monitoring and Analysis Platform SIEM system. In a separate article, our colleagues shared how the mode...
Pilot Contamination Attacks Detection with Machine Learning for Multi-User Massive MIMO
Massive multiple-input multiple-output MMIMO is essential to modern wireless communication systems, like 5G and 6G, but it is vulnerable to active eavesdropping attacks. One type of such attack is the pilot contamination attack PCA, where a malicious user copies pilot signals from an authentic us...
EUVD-2025-21914
Malicious code in bioql PyPI...
EUVD-2025-21901
Malicious code in bioql PyPI...
EUVD-2022-6903
Malicious code in bioql PyPI...
EUVD-2022-4238
Malicious code in bioql PyPI...
EUVD-2022-7388
Malicious code in bioql PyPI...
EUVD-2022-6943
Malicious code in bioql PyPI...