Once a device is part of a botnet, it can be remotely controlled by an attacker known as a bot herder who issues commands to launch DDoS attacks, steal credentials, and spread malware — often without the owner's knowledge. These networks can range from hundreds to millions of infected devices, allowing cybercriminals to scale their operations with minimal effort.
Botnets follow a three-stage lifecycle: infection, command and control, and exploitation.
Cybercriminals use various techniques to compromise systems and expand their botnet:
Once infected, the device operates silently in the background, awaiting further instructions from the bot herder.
After infection, bots connect to a command-and-control (C2) server, where attackers issue commands and collect stolen data. The two main C2 structures include:
Once established, botnets are used for a range of cybercriminal activities:
Botnets don’t emerge overnight—they follow a lifecycle that enables them to grow, operate, and sometimes evade takedown attempts.
Despite takedown efforts, botnets often resurface in new forms, evolving to evade detection and exploit emerging vulnerabilities.
Modern botnets use sophisticated techniques to remain invisible to security tools. These techniques make them harder to detect and remove.
These evasion techniques make botnets a persistent cybersecurity threat.
Many users don’t realize their devices are infected. Here are the top warning signs to look for:
A bot herder is the cybercriminal managing the botnet, ensuring it remains operational and profitable while avoiding detection.
Bot herders maintain control through C2 infrastructure, which allows them to:
To avoid detection, many botnets use encryption, domain-fluxing (rapid domain changes), and fast-flux DNS techniques to keep C2 infrastructure hidden.
Botnets generate revenue in several ways:
Bot herders use advanced methods to ensure continued operation, including:
While some botnets have been dismantled, many continue to evolve and pose threats today. Recent examples include:
Dridex spreads via phishing emails and is used for financial fraud, credential theft, and ransomware deployment. It continuously adapts, making it difficult to detect and remove.
Emotet is one of the most advanced malware delivery botnets, distributing ransomware and credential stealers. Despite takedown attempts, it frequently resurfaces with improved capabilities.
Mirai infects IoT devices with weak passwords, turning them into tools for large-scale DDoS attacks. Numerous variants continue to target routers, cameras, and smart home devices.
Gorilla is a recently identified botnet that has launched hundreds of thousands of DDoS attack commands worldwide, focusing on cloud-based infrastructure and IoT devices.
Necurs is a modular botnet used for spam campaigns, financial fraud, and malware distribution. It has been linked to banking trojans like Dridex and Locky ransomware. While it has remained relatively inactive in recent years, it has the potential to resurface.
First discovered in 2022, Mantis is a highly efficient botnet capable of launching record-breaking DDoS attacks with fewer infected machines than previous botnets. It uses advanced techniques to amplify attack traffic, making it a major threat to businesses and cloud infrastructure.
While inactive, the following botnets shaped modern cyber threats:
To reduce botnet risk, organizations should:
If a botnet is detected:
A botnet is a network of internet-connected devices that have been infected with malware, allowing a remote attacker to control them. These compromised devices, known as "bots," can include computers, mobile devices, and IoT devices.
Botnets spread through various methods, including phishing emails, exploiting vulnerabilities in software or devices, drive-by downloads, and through the use of malicious websites. Once a device is compromised, it can be used to infect other devices, expanding the botnet.
Common uses include launching DDoS attacks to overwhelm and take down websites or networks, distributing spam emails, executing click fraud campaigns, stealing personal and financial information, and deploying ransomware.
Detection methods include monitoring network traffic for unusual activity, analyzing logs for signs of compromise, employing intrusion detection systems (IDS), and using antivirus and antimalware solutions to identify malicious software.
Effective prevention strategies encompass: Implementing robust security measures such as firewalls, antivirus programs, and email filters. Regularly updating and patching software and operating systems to close vulnerabilities. Educating employees about the risks of phishing and malicious downloads. Segmenting networks to limit the spread of infections. Employing network behavioral analysis to detect anomalies.
Dismantling or disrupting botnets involves identifying and taking down command and control (C&C) servers, working with ISPs to block traffic associated with botnets, seizing or sinkholing domain names used by botnets, and cleaning infected devices.
International law enforcement agencies play a crucial role by coordinating investigations, sharing intelligence, conducting joint operations to take down botnet infrastructure, and arresting individuals responsible for creating and operating botnets.
IoT devices are often targeted due to their weak security. Protecting these devices involves changing default usernames and passwords, disabling unnecessary features, applying security updates, and isolating them on separate network segments.
Machine learning and AI can significantly aid in combating botnets by analyzing vast amounts of data to identify patterns indicative of botnet activity, predicting potential attacks, and automating the response to detected threats.
Long-term strategies include investing in advanced threat detection and response systems, fostering a culture of cybersecurity awareness, participating in cybersecurity information sharing communities, and advocating for and adhering to cybersecurity best practices.