A botnet (short for “robot network”) is a group of compromised devices to which a cybercriminal can have remote control, often using them to launch large-scale attacks.
To better understand what a botnet is, think about a collection of devices that are all infected with malware, which allows criminals to control them remotely. The criminal is sometimes referred to as a “bot herder” or “botmaster,” while the compromised devices are “bots” or “zombies.” Any personal computer, smartphone, server, and Internet of Things (IoT) device (like smart cameras or routers) can be a bot or a zombie if it is infected and connected to the Internet.
The bot herder uses a command and control (C&C) system to manage his victims, either through a server (centralized C&C) or through peer-to-peer networks (decentralized). This network allows the bot herder to instruct the bots to do various malicious activities without the device owners even knowing about it. Bots can make attacks on other devices, send spam, steal data, or even mine for cryptocurrency - we will go into more detail on these later in the article.
In summary, the main components of a botnet are:
Botnets come in different forms, each using different architectures to control infected devices.
Centralized Botnets
Centralized botnets follow a client-server model, where all compromised devices (bots) are controlled through a single command and control (C&C) server. This model allows the bot herder to send instructions from one central location to the bots to do tasks like DDoS attacks or spam campaigns. The advantage of this structure is simplicity, but it has a major weakness - if the C&C server is located and taken down, the whole botnet is disrupted.
Peer-to-Peer Botnets
On the other hand, peer-to-peer (P2P) botnets use a decentralized architecture. Every bot communicates with other bots directly, making it at the same time a client and server. This removes the need for a central command and control (C&C) server, making P2P botnets more resistant to takedown efforts. Even if multiple bots are taken down, the network remains operational. This type of structure makes it more difficult for security professionals to locate the bot herder. A famous example of a P2P botnet that stayed very resilient over the years is Gameover Zeus.
IoT-Based Botnets
This type of botnet focuses on connected devices such as smart home gadgets, security cameras, and routers. A notable example is the Mirai botnet, which infected millions of IoT devices and used them for large-scale DDoS attacks (2016). IoT-based botnets are considered more dangerous than other types due to the huge number of connected devices - this provides a truly massive attack surface. Combined with the low visibility of IoT devices makes this type of botnet detection significantly harder.
There are two key elements in botnet operation:
1. Infection and Recruitment
Building a botnet starts with infection and recruitment, the first step to turn devices into bots or zombies. There are several ways to do this:
2. Command and Control Mechanisms
Bot herders manage their network of bots through the following methods:
Once a device is recruited into a botnet, the malware connects to the C&C system, gets instructions for malicious activities (e.g., spam sending, launching Distributed Denial of Service attacks, data stealing), and reports back to the bot herder.
Botnets' power comes from their ability to coordinate large attacks, such as:
Distributed Denial-of-Service (DDoS)
These are among its most prevalent applications: a botnet inundates a target system or network with so much traffic that it makes it inaccessible to other, legitimate users. The reason for attackers doing this is to disrupt services for competitive advantage, financial gain, or to divert attention from other malicious activities. The targets can be businesses (even business competitors), government agencies, and organizations of all sizes. Large botnets can make these attacks very effective, overwhelming systems with requests from thousands or even millions of infected devices.
Spam Campaigns
Botnets are used in spam campaigns to send millions of unsolicited emails and allow cybercriminals to automate the sending of malware, phishing links, advertisements for fraudulent products, etc. This makes botnets a persistent and hard-to-control threat to email security on a global level.
Data Theft
Many botnets are used to silently infiltrate systems and steal important data (login credentials, personal data, financial records, etc.). Once harvested, this data is sold on black markets or used for financial fraud and identity theft. Botnets can operate at scale, so they are perfect for large and fast data exfiltration, without being detected immediately.
Several methods can detect botnet presence, with the best combining network monitoring, anomaly detection, and behavioral analysis.
Network Monitoring
Continuous network traffic analysis is among the most effective methods for botnet detection. Botnets talk to Command-and-Control (C&C) servers, which creates unusual traffic patterns. Therefore, sudden bursts of data transfer, connections to unknown external servers, or attempts to access closed ports will reveal botnet activity. Advanced tools like Intrusion Detection Systems (IDS) or Intrusion Prevention Systems (IPS) are key to flagging these anomalies in real time so you can detect them early. These tools, combined with threat intelligence feeds, will keep your security teams up to date on known C&C servers and emerging botnet trends so detection is even faster and more accurate.
Anomaly detection algorithms can detect unusual behavior that indicates a botnet infection. Systems infected by botnets will experience performance changes like high CPU or memory usage, slowdowns, or frequent crashes due to the resource-intensive tasks they are made to perform (like DDoS attacks). Some advanced security solutions can automatically flag deviations from normal behavior using machine learning, with much better detection rates and fewer false positives.
Keeping an eye on specialized live streams from across the globe allows cybersecurity teams to be one step ahead. What high-quality threat intelligence usually provides is updated information on botnets, C&C servers, attack vectors, etc.
Identifying Signs of Botnet Infection
Advanced tools - Endpoint Detection and Response (EDR) or Extended Detection and Response (XDR) - can offer better visibility into device activity. Even more, they can enable the isolation of compromised systems before they become part of a larger attack. Botnet infections can be surprisingly subtle, but some of the most common indicators to watch for are:
Botnets are a serious threat, but with the right strategies, you can protect your devices and networks. Let's go through some commonly used methods to prevent botnet infections and what steps to take in order to remove malware.
1. Update Software: Updating your operating system, applications, and firmware is crucial to patching vulnerabilities that botnets can exploit. This is especially true for Internet of Things (IoT) devices, which are frequent targets because of their weak security settings.
2. Use Advanced Security: Basic antivirus is often not enough to detect and stop advanced botnets. Use security software that has behavioral analysis, machine learning and real-time threat detection to recognize patterns of botnet activity. These provide continuous monitoring and defenses that adapt in real time to the current threats.
3. Strengthen Passwords: Implement strong and unique passwords for all devices and enable multi-factor authentication (MFA) to add an extra layer of security. Default credentials can be easily exploited, so, change default passwords immediately after setup - especially on routers and IoT devices.
4. Monitor Network Traffic: Continuously monitoring network traffic is a key tool for detecting signs of suspicious activity (spikes in data usage, unauthorized connections to external servers, etc.). Advanced Intrusion Detection Systems (IDS), firewalls, and network traffic analysis helps in identifying botnet communications as early as possible.
5. Educate Users: Phishing emails and malicious links are common ways to spread botnet malware. Train employees or family members to recognize these attack vectors.
1. Full System Scan: Run a full scan using anti-malware software that has real-time scanning and deep system analysis to detect and remove threats that might be hiding on your devices.
2. Disconnect and Isolate: If you suspect an infection, disconnect the device from the Internet immediately to prevent it from communicating with the botnet’s C&C servers.
3. Reformat and Reinstall: For infections that are hard to remove, especially those that are deeply embedded in your system, consider reformatting the device and reinstalling the operating system to ensure complete removal of the malware.
4. Change All Passwords: After removing the malware, update all passwords, especially those linked to sensitive information such as banking or email accounts. Enable MFA to further protect these accounts from future attacks.
5. Monitor for Re-infection: Even after the malware is removed, it is recommended to monitor how devices behave and what the network traffic is. Advanced threat detection and real-time network monitoring tools can help you identify any resurgence in malicious activity.
Botnets have grown into a global menace capable of inflicting billions of dollars in damage worldwide. According to recent surveys, businesses in the US and UK lose 4% of their online revenue every year to bot attacks. Organization size is no longer important, as the attacks inflict damage without discrimination, causing operational downtime, data recovery expenses, and ransom payments. Due to the fact that small and medium-sized businesses (SMBs) often lack the robust security measures of larger organizations, they are particularly vulnerable. Financial loss from botnet attacks can be crippling to their business and, in some cases, can even shut the business down.
Beyond the immediate financial hit, botnet attacks can inflict long-term damage to an organization's reputation. For example, the 2016 DDoS attack on Dyn, a major DNS provider, disrupted services for high-profile companies like Twitter, Netflix, and Reddit. Not only did it cause widespread outages, it also highlighted the vulnerabilities of relying on third-party services. Companies that are unwittingly part of a botnet face massive damage to their brand, and it doesn't really matter whether they became victims through compromised devices or poor security practices.
Botnets are the backbone of large-scale cybercrime operations, posing a risk to businesses on multiple levels:
The evolution of botnets shows how far we’ve come with cybersecurity threats. What started as simple spam tools have become complex networks that can orchestrate some of the biggest cyber-attacks in history.
Early Botnets - In the late 90s and early 2000s, botnets like EarthLink Spammer and Storm were used to send spam and distribute malware. Storm was discovered in 2007 and was the largest botnet of its time, infecting millions of computers and sending 20% of all spam at its peak.
Zeus and Financial Cybercrime - The Zeus botnet was first discovered in 2007 and was a major step up in botnet capabilities. Zeus was designed to steal banking credentials and personal information and infected over 3.6 million computers worldwide. A later variant, GameOver Zeus, had a peer-to-peer (P2P) architecture which made it more resilient and harder to take down. Despite a big takedown in 2014, Zeus variants continued to run, so they are still a threat to the financial sector.
Mirai and the IoT Botnets - Mirai was discovered in 2016 and changed the botnet game by targeting Internet of Things (IoT) devices. By compromising devices like routers and security cameras, Mirai launched massive DDoS attacks, including one that took down major services like Twitter and Netflix. The release of Mirai's source code has spawned many variants, and IoT botnets are apparently here to stay until better IoT security is implemented.
Emotet and Advanced Modular Botnets - Emotet was another major step up when it first surged in 2014 in the form of a banking Trojan. Over time, it evolved into a modular botnet that could deliver other malware, including ransomware. Its ability to evade detection and spread so fast made it one of the most notorious and costly threats until law enforcement took it down in 2021.
Botnets continue to evolve as the cat-and-mouse game between cybercriminals and security experts continues. As they get more advanced and can exploit new technologies, botnets take an ever more important role in the cybersecurity landscape.
Botnets are illegal in almost every jurisdiction, which is only natural, considering that their existence is closely related to malicious activities (unauthorized access, control over devices, etc.). Laws like the U.S. Computer Fraud and Abuse Act (CFAA) and similar international laws explicitly prohibit the creation, distribution, or management of botnets. There are severe legal consequences - fines and imprisonment – for running such bot networks. High-profile botnet takedowns like GameOver Zeus or Mirai have shown international law enforcement collaboration to combat these threats.
The only real ethical concerns come from areas like cybersecurity research, where sometimes methods similar to botnets are deployed for defensive purposes. Even in this case, there is little ethical ambiguity: the cybersecurity teams can run these operations only with explicit authorization and within legal frameworks.
Therefore, is a botnet ever good? It depends on the lenses used. Many experts talk about the role of state actors like Russia and China in deliberately utilizing botnets as tools of cyberwarfare and espionage.
Some countries are considered a disproportionate source of botnet attacks, using these networks to attack other countries' critical infrastructure, private companies and even to influence public opinion. Because these botnets are state sponsored, their involvement in cyber operations makes it harder for international to mitigate these threats.
Another ethical issue is that some botnet operators, especially hacktivists, claim that their actions are to expose vulnerabilities or promote a cause. While some may portray these as neutral or positive, botnets are one of the biggest threats in modern cybersecurity. What that means is as cybercriminals get more sophisticated, the legal and ethical frameworks need to evolve too.
For years, Bitdefender has been fighting cybercrime. Using our deep expertise in neutralizing ransomware groups and botnets, we worked with global law enforcement to take down some of the biggest cybercriminal gangs. Recently, we provided the key intelligence that helped take down the Interplanetary Storm botnet (2023). Bitdefender was also part of Operation Endgame (2024), the largest-ever joint operation against botnets.
Bitdefender’s GravityZone Platform offers a multi-layered, integrated approach to protect your endpoints from botnet malware using EDR and Advanced Threat Control (ATC). It monitors system behavior to detect unusual activity related to botnet infections, which is key to stopping botnets from communicating with Command & Control (C&C) servers.
Included in Bitdefender’s endpoint protection are powerful network security tools such as a web traffic scanner that can prevent access to known malicious IPs as well as detect and block the download of malicious payloads. In addition, Network Attack Defense blocks network techniques that facilitate threat actor access into systems, such as lateral movement and brute-force attacks.
For even more protection, XDR brings visibility across endpoints, networks, cloud, and email systems, a unified approach to detecting and stopping botnets before they spread across the infrastructure. HyperDetect also introduces an extra layer of pre-execution detection using machine learning and heuristics, which means fileless malware that botnets use to evade traditional defenses are blocked. This advanced threat detection stops botnets before they even start.
Another thing to watch out for is how botnets use unpatched vulnerabilities to get into systems. Bitdefender's Patch Management finds and deploys critical updates across your organization's infrastructure through an automatic process, closing security holes and reducing botnet risk. And for staying one step ahead of upcoming dangers, you can always rely on the latest data and real-life insights from Bitdefender Operational Threat Intelligence.
Botnets are difficult to stop because they involve thousands or even millions of infected devices spread across the globe, making it nearly impossible to take them all down. Many botnets use decentralized architectures, meaning even if one control point is disabled, the rest of the network continues operating. Botnets hide their communications and change control servers frequently, so it's hard to find and neutralize them. But by using advanced network monitoring and real-time traffic analysis – like Bitdefender's solutions – you can detect these hidden botnet activities and stop them before they cause damage.
Malware is software designed to harm computers. A botnet is a group of devices that have been infected with malware and are controlled together to perform tasks like launching attacks. In short, malware infects one computer, while a botnet is many computers working together under control after being infected.
Traditional antivirus software can detect some botnets by detecting malware that turns devices into bots. But modern botnets use advanced evasion techniques to hide from basic antivirus. Since these techniques allow botnets to go undetected, relying only on antivirus is no longer enough. Bitdefender's advanced security solutions, like Endpoint Detection and Response (EDR) and Extended Detection and Response (XDR) , go beyond traditional antivirus and provide proactive protection, so even the most complex botnets are caught before they spread