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'''INFERMAL (Inferential Analysis of Maliciously Registered Domains)'''  is a research project being carried out by KOR Labs and funded by ICANN. <ref>https://infermal.korlabs.io/</ref> The project aims to systematically analyze the preferences of cyberattackers and possible measures to mitigate malicious activities across [[TLDs|top-level domains]] (TLDs). <ref>https://korlabs.io/blog/infermal-investigating-cyber-attackers-preferences.html</ref> This project is funded as a part of ICANN's [[DNS Security Threat Mitigation Program|Domain Name System (DNS) Security Threat Mitigation Program]], which strives to make the Internet a safer place for end users by reducing the prevalence of [[DNS]] security threats across the Internet. It is supervised by ICANN's Office of the Chief Technology Officer Security, Stability, and Resiliency team. <ref>https://korlabs.io/blog/new-icann-project-infermal.html</ref>
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'''INFERMAL (Inferential Analysis of Maliciously Registered Domains)'''  is a research project being carried out by KOR Labs and funded by ICANN. <ref>https://infermal.korlabs.io/</ref> The project aims to systematically analyze the preferences of cyberattackers and possible measures to mitigate malicious activities across [[TLDs|top-level domains]] (TLDs) <ref name="infermal1">[https://korlabs.io/blog/infermal-investigating-cyber-attackers-preferences.html About Infermal]</ref>This project is funded as a part of ICANN's [[DNS Security Threat Mitigation Program|Domain Name System (DNS) Security Threat Mitigation Program]], which strives to make the Internet a safer place for end users by reducing the prevalence of [[DNS]] security threats across the Internet. It is supervised by ICANN's Office of the Chief Technology Officer Security, Stability, and Resiliency team <ref name= "infermal2">https://korlabs.io/blog/new-icann-project-infermal.html More About</ref>.
    
INFERMAL was created to expand knowledge in an area in which, for years, there has been anecdotal evidence: the suggestion that cybercriminals tend to exploit TLDs and [[registrars]] with low domain name registration prices. However, this hypothesis lacked concrete evidence and a systematic analysis of attackers' preferences. Each malicious actor may have their own criteria, with one favoring lower registration prices while another may target registrars with specific payment methods or free APIs for bulk domain registration.  
 
INFERMAL was created to expand knowledge in an area in which, for years, there has been anecdotal evidence: the suggestion that cybercriminals tend to exploit TLDs and [[registrars]] with low domain name registration prices. However, this hypothesis lacked concrete evidence and a systematic analysis of attackers' preferences. Each malicious actor may have their own criteria, with one favoring lower registration prices while another may target registrars with specific payment methods or free APIs for bulk domain registration.  
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'''Phase 3: Fine-grained inferential analysis of maliciously registered domains'''
 
'''Phase 3: Fine-grained inferential analysis of maliciously registered domains'''
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Finally, by September 2024, a final report will be published, in the form of a research paper providing a fine-grained inferential analysis of maliciously registered domains using GLM modeling to determine driving factors of domain abuse. The project will also propose best practices to effectively mitigate abuse. https://korlabs.io/blog/infermal-investigating-cyber-attackers-preferences.html
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Finally, by September 2024, a final report will be published, in the form of a research paper providing a fine-grained inferential analysis of maliciously registered domains using GLM modeling to determine driving factors of domain abuse. The project will also propose best practices to effectively mitigate abuse <ref name="infermal1" />
    
== INFERMAL partners ==
 
== INFERMAL partners ==
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References
 
References
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{{reflist}}
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