Fabio Assolini
Head of Research Center, Americas and Europe, Global Research & Analysis Team
Fabio Assolini joined Kaspersky’s Global Research and Analysis Team (GReAT), which boasts the industry’s top analysts, in July 2009 to primarily focus on one of the most dynamic countries in Latin America: Brazil. Fabio’s responsibilities include the analysis of virus, cyber attacks, banking trojans and other types of malware that originate from Brazil and the rest of the region. He particularly focuses on the research and detection of banking trojans. In November 2012, he was promoted to senior security researcher. Since 2006, Fabio has been a voluntary member of the security community Linha Defensiva (Defensive Line), a non-government organization. In addition, he is a member of the Alliance of Security Analysis Professionals (ASAP), a network of NGOs, professionals and individuals dedicated to providing security related support to end users. Fabio has more than five years of experience as a malware analyst and possesses a university degree in Computer Science.Publicações
Relatórios
Driver de destruição: Como um driver legítimo está sendo usado para encerrar processos de antivírus (AV)
Em um caso de resposta a incidentes, os especialistas da Kaspersky descobriram um novo malware que encerra processos de AV ao usar de forma indevida o driver legítimo ThrottleStop. As soluções da Kaspersky combatem e detectam essa ameaça com êxito.
Lumma Stealer – Rastreamento de canais de distribuição
Durante atividades de resposta a incidentes, nossa equipe GERT descobriu o Lumma Stealer na infraestrutura de um cliente. Nossos especialistas conduziram uma investigação e analisaram o esquema de distribuição em detalhes.
Levem meu dinheiro: malware rouba criptomoedas via OCR no Google Play e na App Store
Especialistas da Kaspersky descobriram aplicativos para iOS e Android infectados com o malware SparkCat, que rouba criptomoedas através de apps presentes na Google Play e na App Store. O malware rouba dados de carteiras de criptomoedas usando um modelo de OCR.
