Its awesome how accurate TwiGUARD is at picking out Spammers, here is an example. Below is the TwiGUARD stats we collected on this account...
ID:Username:First Seen Date:Last Seen Date:Folscore
| 174597 | BTLife7 | 2010-01-06 19:24:00 -0500 | 2010-01-06 19:24:00 -0500 | 100 |
Keep in mind a folscore of greater than 75 is considered bad.
Excellent idea, downloading the Google SafeBrowse and then matching it with the tweet link.
What about trying other available list ?
Like is there a correlation with email spammer ? using BRBL or any RBL list ?
What about doing IP resolution to get the IP where the malware of the twitter spammer is located and trying to match it with AS number or with DShield.
What are you plan with TwiGuard ?
This a so cool idea that I'm gonna try to do it too.
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