GorillaBot Goes Ape With 300K Cyberattacks Worldwide

Source: Moviestore Collection Ltd via Alamy Stock Photo

Distributed denial-of-service (DDoS) attacks involving a new Mirai variant called GorillaBot surged sharply last month, launching 300,000 attacks, affecting some 20,000 organizations worldwide — including nearly 4,000 in the US alone.

In 41% of the attacks, the threat actor attempted to overwhelm the target network with a flood of User Datagram Protocol (UDP) packets, which are basically lightweight, connection-less units of data often associated with gaming, video streaming, and other apps. Nearly a quarter of the GorillaBot attacks were TCP ACK Bypass flood attacks, where the adversary’s goal was to flood the target — often just one port — with a large number of spoofed TCP Acknowledgement (ACK) packets.

GorillaBot, the Latest Mirai Variant

“This Trojan is modified from the Mirai family, supporting architectures like ARM, MIPS, x86_64, and x86,” researchers at NSFocus said in report last week, after observing the threat actor behind GorillaBot launch its massive wave of attacks, between Sept. 4 and Sept. 27. “The online package and command parsing module reuse Mirai source code, but leave a signature message stating, ‘gorilla botnet is on the device ur not a cat go away [sic],’ hence we named this family GorillaBot.”

NSFocus said it observed the botnet controller leverage five built-in command-and-control servers (C2s) in GorillaBot to issue a steady cadence of attack commands throughout each day. At its peak, the attack commands hit 20,000 in a single day. In all, the attacks targeted organizations in 113 countries with China being the hardest hit, followed by the US, Canada, and Germany, in that order.

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Though GorillaBot is based on Mirai code, it packs considerably more DDoS attack methods — 19 in all. The available attack methods in GorillaBot include DDoS floods via UDP packets and TCP Syn and ACK packets. Such multivector attacks can be challenging for target organizations to address, because each vector often requires a different mitigation approach.

For example, mitigating volumetric attacks such as UDP floods often involve rate limiting or restricting the number of UDP packets from a single source, blocking UDP traffic to unused ports, and distributing attack traffic across multiple servers to blunt the impact. SynAck flood mitigation on the other hand is about using stateful firewalls, SYN cookies, and intrusion-detection systems to track TCP connections and ensure that only valid ACK packets are processed.

Bad Bots Rising

Traffic related to so-called bad bots like GorillaBot has been steadily increasing over the past few years, and currently represents a significant proportion of all traffic on the Internet. Researchers at Imperva recently analyzed some 6 trillion blocked bad bot requests from its global network in 2023, and concluded that traffic from such bots currently accounts for 32% of all online traffic — a nearly 2% increase from the prior year. In 2013, when Imperva did a similar analysis, the vendor estimated bad bot traffic at 23.6% and human traffic as accounting for 57% of all traffic.

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Imperva’s 2024 “Bad Bot Report” is focused entirely on the use of bad bots at the application layer and not specifically on volumetric DDoS attack on low-level network protocols. But 12.4% of the bad bot attacks that the company helped customers mitigate in 2023 were DDoS attacks. The security vendor found that DoS attacks in general were the biggest — or among the biggest — use cases for bad bots in some industries, such as gaming, and the telecom and ISP sector in healthcare and retail. Imperva found that threat actors often tend to use bad bots for DDoS attacks where any kind of system downtime or disruption can have significant impact on an organization’s operations.

About the Author

Jai Vijayan is a seasoned technology reporter with over 20 years of experience in IT trade journalism. He was most recently a Senior Editor at Computerworld, where he covered information security and data privacy issues for the publication. Over the course of his 20-year career at Computerworld, Jai also covered a variety of other technology topics, including big data, Hadoop, Internet of Things, e-voting, and data analytics. Prior to Computerworld, Jai covered technology issues for The Economic Times in Bangalore, India. Jai has a Master’s degree in Statistics and lives in Naperville, Ill.