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Okan Kılıçer

4.8· 4 reviews
Average ratingExcellent
4.8/ 5

Based on 4 reviews

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Sarah Jenkins
Reviews 1

I find the background really interesting. The shift from mining crypto to running local AI models on DGX Spark hardware shows a deep understanding of hardware and thermals. It is reassuring to see that vulnerability reports go directly to the institutions responsible. The focus on post-quantum cryptography feels very forward-thinking for someone who has been working since 2012.

David Chen
Reviews 1

It is convenient that the contribution process is clearly outlined. Submitting phishing data to PhishTank and flagging URLs on urlscan.io provides a straightforward path for verifying malicious infrastructure without needing complex coordination steps.

Elena Vasquez
Reviews 1

The profile of Okan Kılıçer presents a coherent narrative of an independent security researcher with deep technical roots. The transition from physical GPU mining to local AI inference on DGX Spark hardware suggests a practitioner who values direct control over infrastructure. Contributing to PhishTank and urlscan.io indicates active engagement with community-driven threat intelligence. The focus on post-quantum cryptography and crypto-agility shows an awareness of emerging threats. Reporting vulnerabilities directly to public institutions without demanding credit highlights a professional dedication to securing systems rather than personal gain. This approach seems reliable for organizations seeking verified threat data or independent validation of their security posture.

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About Okan Kılıçer

Okan Kılıçer is an independent security researcher who has been active since 2012 and is not affiliated with any company. The work involves identifying malicious sites, phishing kits, and abusive infrastructure, and reporting these findings through communities such as PhishTank, the phishing corpus operated by Cisco Talos, and urlscan.io. When vulnerabilities are found in public institutions' systems, they are reported directly to the relevant institution. The research also covers post-quantum cryptography, including key exchange and signature schemes, and how crypto-agility and quantum-resistant assumptions affect systems like TLS termination and DDoS mitigation. In addition to security research, between 2016 and 2023 mining of Ethereum, Bitcoin, and Ravencoin was carried out on physical GPU rigs, and the same hardware setup now runs DGX Spark systems for building and fine-tuning AI models locally.