Luqman Muhammad Zagi | Searcharxiv

arXiv2025

Just Dork and Crawl: Measuring Illegal Online Gambling Defacement in Indonesian Websites

This study investigates the defacement of Indonesian websites by actors promoting illegal online gambling. Using a lightweight methodology that combines keyword-driven dorking with systematic crawling, we identified 453 defaced webpages within one month. Although dorking alone yielded a false positive rate of approximately 20.3\%, the integration of crawling and keyword-counting enabled reliable differentiation between true and false positives. Our measurements revealed diverse defacement behaviors, including repeat defacements (150 cases), fixed instances (129), keyword modifications (55), and redirections or hidden URL injections. In total, 8,837 unique third-party URLs spanning 5,930 domains were captured, with a small subset recurring across multiple sites. Website responses were inconsistent, with an average reaction time of 75.3 hours. These findings demonstrate that simple, reproducible techniques can provide meaningful insights into the scale, persistence, and dynamics of defacement, highlighting the importance of continuous measurement for strengthening defenses against online gambling activities.

cs.CR↗

arXiv2025

Implementasi dan Pengujian Polimorfisme pada Malware Menggunakan Dasar Payload Metasploit Framework

Malware change day by day and become sophisticated. Not only the complexity of the algorithm that generating malware, but also the camouflage methods. Camouflage, formerly, only need a simple encryption. Now, camouflage are able to change the pattern of code automatically. This term called Polymorphism. This property is usually used to create a metamorphic and a polymorphic malware. Although it has been around since 1990 still quite tricky to detect. In general, there are three obfuscation techniques to create the nature of polymorphism. That techniques are dead code insertion, register substitution, and instruction replacement. This technique can be added to the Metasploit Framework via Ghost Writing Assembly to get ASM files. The detection methods that be used are VT-notify, Context Triggered Piecewise Hash (CTPH), and direct scanning with an antivirus that has been selected. VTnotify show nothing wrong with the files. The best CTPH value is generated by a mixture of technique (average: 52.3125%), while if it is compared to the number of changes made, instruction replacement have the best comparative value (0.0256). The result of using antivirus scanning produces a variety of different results. Antivirus with behavioural-based detection has a possibility to detect this polymorphism.

cs.CR↗