FBI operation tricked thousands of computers infected by Qakbot into uninstalling the malware | TechCrunch
techcrunch.com
The U.S. government dismantled the infrastructure of the notorious Qakbot malware, which caused millions of dollars of damage.

FBI operation tricked thousands of computers infected by Qakbot into uninstalling the malware::The U.S. government dismantled the infrastructure of the notorious Qakbot malware, which caused millions of dollars of damage.

  • AutoTL;DR@lemmings.worldBEnglish
    1·
    1 year ago

    This is the best summary I could come up with:

    A U.S. government operation has dismantled the infrastructure of the notorious Qakbot malware, which officials say caused “hundreds of millions” of dollars of damage worldwide.

    In an announcement on Tuesday, the FBI said that it had successfully “disrupted and dismantled” the Qakbot malware, and had identified more than 700,000 infected computers worldwide — including more than 200,000 in the United States.

    The Department of Justice also announced the seizure of more than $8.6 million in cryptocurrency from the Qakbot cybercriminal organization, which will now be made available to victims.

    The operation, which was carried out in partnership with law enforcement agencies in France, Germany, the Netherlands, Romania, Latvia, and the United Kingdom, is described as the largest U.S.-led financial and technical disruption of a botnet infrastructure leveraged by cybercriminals to commit ransomware, financial fraud, and other cyber-enabled criminal activity.

    Qakbot, also known as “QBot” and “QuakBot,” was first detected in 2007, and has in recent years become the botnet of choice for some of the most infamous ransomware gangs, including Conti, ProLock, Egregor, REvil, MegaCortex, and Black Basta.

    These ransomware gangs received approximately $58 million in ransom payments between October 2021 and April 2023, according to the FBI, and racked up numerous victims, including healthcare providers and government agencies.

    The original article contains 335 words, the summary contains 208 words. Saved 38%. I’m a bot and I’m open source!