Hello,
I recently read your research paper on fake stars in GitHub and found your work on StarScout to be highly insightful. Your findings on large-scale fake star campaigns and their implications for security are particularly concerning.
I am developing a tool called GitHubWatchdog which aims to detect suspicious repositories and users on GitHub using heuristics similar to what you’ve described in your paper. One of the key challenges I’m facing is the process for reporting mass fake stars and suspicious accounts to GitHub in an effective manner.
I have the following questions:
- Is there an established process for reporting large-scale fake star campaigns to GitHub’s security team?
- Have you received any official feedback from GitHub regarding your reports?
- Does GitHub offer any automated or bulk reporting mechanism, or is reporting still done manually via GitHub Support?
- Are there any best practices you would recommend when reporting fake stars, suspicious repositories, or bot accounts at scale?
If you have any insights or guidance on how to responsibly and efficiently report mass fake star campaigns, it would be extremely helpful.
Looking forward to your thoughts, and thanks again for your valuable research!
Cheers~
Bear Huddleston
Hello,
I recently read your research paper on fake stars in GitHub and found your work on StarScout to be highly insightful. Your findings on large-scale fake star campaigns and their implications for security are particularly concerning.
I am developing a tool called GitHubWatchdog which aims to detect suspicious repositories and users on GitHub using heuristics similar to what you’ve described in your paper. One of the key challenges I’m facing is the process for reporting mass fake stars and suspicious accounts to GitHub in an effective manner.
I have the following questions:
If you have any insights or guidance on how to responsibly and efficiently report mass fake star campaigns, it would be extremely helpful.
Looking forward to your thoughts, and thanks again for your valuable research!
Cheers~
Bear Huddleston