This granted insight into follower relationships, allowing attackers to mention followers in tweets to increase the chance that targets would click malicious links.Attacks were best placed where triangles were created in the tool's visual grid of relationships between Twitter accounts. Those indicated likely trusted relationships, which were useful to social engineers. "I can start sending communications to accounts referencing [their followers] and it will look like I know something about them. Or I can include all of them and it will look like I'm forwarding information that's relevant to them," Palka said at the Hack3rcon event this month.The popular Maltego toolkit could be used to determine these relationships, but Palka said it was tough work to handle the necessary complex filters.In a simple demonstration of the tool at the recent Defcon security conference, Palka created a fake account, which copied all tweets sent out by event staffer Ryan Clarke.
It was enough to get his fake account ranked higher than Clarke's, and even retweeted by Defcon organiser Jeff Moss, which scored him followers.Hypertwish also kept an accurate list of victims who clicked malicious URLs via HTTP logs which parsed bots.
Palka found Twitter bots automatically requested URLs but did not dive deeper into the links to examine content.Hypertwish took advantage of this by redirecting victims via iFrames to target payload sites, a move that went unnoticed by the bots.The tool can be downloaded free for Linux.
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