Systems engineer and Ezuri's maker, Guilherme Thomazi Bonicontro ('guitmz'), had open-sourced the ELF loader on GitHub in 2019 and debuted the tool in his blog entry. In an email interview with, Bonicontro otherwise known as TMZ shared that he is a malware researcher and makes research apparatuses for spreading awareness and aiding defenders. 

“I'm an independent malware researcher, I do this as one of my leisure activities. The objective of my work is just to learn and bring awareness on assorted PoC assault and defense techniques, yet never bring on any harm. As a general guideline, I generally share samples of my ventures with antivirus organizations and I never discharge code with ruinous payload or anything with refined replication capabilities. I believe knowledge ought to be available to everybody and every individual ought to be answerable for their own activities to rest soundly at night,” said Bonicontro. 

Researchers Ofer Caspi and Fernando Martinez of AT&T Alien Labs noted in the wake of decrypting the AES-encrypted payload, Ezuri quickly passes the subsequent code to the runFromMemory work as a contention without dropping malware files anyplace on the tainted system. During the last few months, Caspi and Martinez distinguished a few malware creators that pack their samples with Ezuri. These incorporate the cybercrime group, TeamTnT, active since at least April 2020. 

TeamTnT is known to assault misconfigured Docker instances and exposed APIs to transform weak systems into DDoS bots and crypto miners. Later variations of TeamTnT's malware, for example, "Black-T" that install network scanners on tainted systems and extract AWS credentials from memory were likewise discovered to be bound with Ezuri. As indicated by the AT&T researchers, "the last Black-T sample distinguished by Palo Alto Networks Unit42 is really an Ezuri loader." The researchers additionally saw the presence of the 'ezuri' string in numerous Ezuri-packed binaries. 

Malware samples which were commonly distinguished by about 50% of antivirus engines on VirusTotal, yielded 0 detections when encoded with Ezuri, at the time of AT&T's research. Even today, the Ezuri-stuffed sample has less than a 5% detection rate on VirusTotal.