Researchers have uncovered staggering information about the Pony botnet that was found to have stolen 2-million passwords from social networks and other online services, writes NATALIA DAVID.
Even though the potency of the botnet threat has been known since quite some time now, researchers at Trustwave’s SpiderLabs still stumbled upon some staggering information about the botnet managed by the Pony botnet controller.
Last month SpiderLabs discovered 2-million stolen passwords for sites like Facebook, LinkedIn and Payroll on a server in the Netherlands, harvested by the Pony botnet. The team took control of botnet by replacing its Command-and-Control server and used the privileges to pull out some startling stats from the database.
A threat with seemingly vast reach
The research group discovered that the Pony botnet they had taken over had harvested 1,58 million passwords associated with websites such as Facebook and Twitter, 320 000 for e-mail logins such as Gmail and Yahoo, 3 000 for Remote Desktop login credentials, 41 000 for FTP accounts, and 3 000 Secure Shell account passwords. Even the password for the payroll provider ADP was not spared.
The user end under attack
Companies running social media websites and email services are already subjected to criticism every few months, if not weeks, for their inadequate efforts for safeguard user security. Had the latest theft been a result of some newly discovered security loophole, they would have had a lot of face-saving to do and lawsuits to settle, not to mention spending their resources on a quick overhaul of their existing security protocols.
Much to the relief of the tech companies, both big and small, the researchers unanimously agree that the passwords have not been stolen from the server end, but have in fact been harvested from the infected machines themselves, most likely using keyloggers and phishing tools. Recording the keystrokes of users or redirecting them to counterfeit login pages is among the most effective ways to acquiring someone’s passwords and that is precisely what the Pony botnet seems to have done.
The Trustwave researchers discovered that a significant amount of compromised passwords were weakly or even terribly constructed. The worst of the lot included ‚”123456‚”, ‚”1234‚” and ‚”password‚”. Not all passwords stolen by the botnet were weak, though. Most users had constructed passwords using 6 to 9 characters, while a majority of users with relatively strong passwords had mixed numbers and letters, or lower and upper case letters. The fact that the Pony botnet still had such passwords in its database made it even more certain that a keylogging software or phishing tool had been utilized.
The implications of stolen passwords
Losing personal or sensitive information to a third-party can be dangerous and costly under any circumstances. In the case of the Pony botnet, passwords for pretty much every social media website and services have been stolen. Cybercriminals can use the personal information from the users’ social media and email accounts not only to deal financial losses to them, but also to blackmail them or their loved ones.
Some users have been identified as high-profile users due to their profession or access to sensitive data. Stealing their passwords, pulling the sensitive information from their accounts and then selling it to their competitors or in the black-market can be of immense value to the cybercriminals and highly detrimental to the target and their interests. Stealing the password of the payroll services accounts also has direct financial implications.
Some of the online services, such as Facebook and LinkedIn, have already begun resetting the login credentials, clearly aware of the implications that the Pony botnet and its database of stolen passwords can have. Other tech companies providing online services are also expected to follow suit soon instead of leaving their users at the mercy of cybercriminals.
* Natalia David blogs at Mobistealth and writes about developments and trends in the tech world. Follow her on Twitter on @NataliaDavid4
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