Tool Controls Botnet With Twitter Direct Messages

'Twittor' exploits the expanded capacity of Twitter DMs to replace traditional botnet command-and-control server infrastructure.

Turns out Twitter's expansion of Direct Message capacity beyond 140 characters inadvertently gives botnet operators a stealthy and streamlined way to control their bots.

A new backdoor tool built by white hat security researcher Paul Amar uses Twitter DMs as a botnet command-and-control infrastructure. Amar says his so-called "Twittor" tool was inspired by a Gmail-based botnet C&C tool called "Gcat."

"I was looking at how third-party services could hide malicious traffic" and how botnets could maintain a command-and-control infrastructure that could avoid takedowns, for example, says Amar, a security analyst with SensePost Information Security.

His Python-based Twittor backdoor tool basically allows a botnet to operate and hide in plain sight. The machines would already be infected with the malware, and then controlled by the attacker via his or her malicious Twitter DMs. "It uses just one Twitter account that sends" the DMs, Amar says. "Everything is going through private messaging" of the attacker's account, he says.

Amar says an attacker likely would use Tor to create the new Twitter account. With DMs longer than 140 characters, it leaves plenty of headroom for controlling the bots, he says. "It allows for more malicious activity."

Some security experts have called out the potential for abuse of DMs with Twitter's move in August to remove the 140-character limit, as well as the new option for any Twitter user to DM any other Twitter user even if they are not following one another.

Bad guys will use most any possible channel for C&C, notes Dan Kaminsky, chief scientist with WhiteOps, who points out that social networks long have been abused that way. Researchers at DC949 created Twitter FS, a file system tool that used just the 140-character limit to store files, he notes. "Small channels have always been attractive to C&C, which never needs much bandwidth to prosper," Kaminsky says.

Kaminsky's 2005 OzymanDNS project, meanwhile, demonstrated the potential for abuse of DNS by moving files and tunneling traffic over DNS.

Twit Bot Limit

Twitter limits users to 1,000 DMs per day, so Amar estimates that a Twittor botnet would max out at somewhere around 100 bot machines. "The best way to bypass that limitation would be to use different accounts and mesh them all together. So with three accounts, we can do around 3,000 DMs daily, which would be enough to control a few hundred boxes," Amar says.

Since they communicate via the Twitter API, the bots don't need their own Twitter accounts to be controlled, he notes. And since it uses the API, there's no worries of IP-filtering for the attacker, he says. And "nothing's public, [since it's] only using Direct Messages, so there's no public malicious activity," he says.

A DM-controlled botnet complicates a bot-infected company's defenses. "It's quite complicated. You would have to block Twitter in a corporate environment," says Amar, noting that such a ban obviously wouldn't be realistic in most companies. The DM traffic would be difficult to distinguish from legitimate communications, he says.

Amar says he's looking at adding a data exfiltration toolkit for his Twittor tool. Twittor is available on Github.

About the Author(s)

Kelly Jackson Higgins, Editor-in-Chief, Dark Reading

Kelly Jackson Higgins is the Editor-in-Chief of Dark Reading. She is an award-winning veteran technology and business journalist with more than two decades of experience in reporting and editing for various publications, including Network Computing, Secure Enterprise Magazine, Virginia Business magazine, and other major media properties. Jackson Higgins was recently selected as one of the Top 10 Cybersecurity Journalists in the US, and named as one of Folio's 2019 Top Women in Media. She began her career as a sports writer in the Washington, DC metropolitan area, and earned her BA at William & Mary. Follow her on Twitter @kjhiggins.

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