Botnet Detection Tool Designed to Help Monitor for Advanced Threats

Botnet attacks are some of the most common—and the most threatening—distributed denial of service (DDoS) attacks in modern cybersecurity. A botnet consists of a series of connected computers and devices, hijacked and controlled to carry out a cyberattack.

A botnet can be one of the most serious cybersecurity threats to your enterprise system. Once a botnet army is activated from its command and control (C&C) center, your system can become easily overwhelmed by hundreds of botnet devices, which can quickly take your applications offline.

Since botnets appear benign until they’re commanded to attack, you may be unaware they even exist. They can easily fly under the radar of even the most vigilant security methods. Although detecting botnets is difficult, it’s not impossible if you use a botnet detection tool to flag and alert unusual patterns of activity among devices in your system.

Many botnet detection strategies involve data packet analytics, which allows you to identify irregular data transmission among devices to your server. Analyzing traffic flow can also help you detect botnets. Traffic flow data doesn’t require full security credentials, and an effective botnet detection tool can easily measure traffic patterns and flow to identify unusual behavior, ideally before a malicious C&C center has the time to activate an attack.

Two distinct actions are involved in preventing an attack: detecting and responding. To effectively stop a DDoS attack, admins need a botnet detection tool that can also serve as a botnet response tool.

Understanding your botnet response strategy is key to effectively stopping botnets in their tracks. Once you’ve identified a potential botnet based on traffic flow data, botnet response tools offer strategies for blocking botnet traffic to your server. When you effectively identify and shut down communication with all infected devices, a botnet army can’t carry out its attack.

Log analytics are also crucial in identifying the source of botnets. With an intelligent log monitoring process, your botnet detection tool can constantly scan logs from firewalls and other intrusion detection and prevention systems to flag which actors are suspicious.

Identifying malicious actors can be difficult since botnets are constantly adapting to new devices. However, botnets often originate from bad actors who have carried out attacks before. To identify bad actors, an effective botnet detection tool can leverage a constantly updated list of bot sources, based on community data.

A botnet detection tool serves to detect and prevent botnet armies before their C&C center activates an attack. Botnet detection tools can help maximize systems security at each step of the botnet prevention process: detecting unusual traffic, identifying suspicious devices and IP addresses, and eliminating communication with suspicious actors.

Botnet detection tools can take different approaches to identifying inactive botnet armies lurking in system devices. One of the most trusted new ways to detect botnets is by analyzing network traffic patterns. When a botnet detection tool monitors network traffic patterns over time, it can correlate unusual activity to past traffic activity in a specific path. A useful aspect of traffic pattern monitoring is that it doesn’t require your botnet detection tool to access encrypted data packets—instead, your botnet detection tool can measure the locations and timing of network traffic flow to understand unusual shifts in activity.

While traffic flow analytics help identify unusual behavior, a comprehensive botnet detection tool can also help you pinpoint the devices where unusual traffic is occurring. Once you’ve identified unusual traffic and potential bad actors, you can work to cut off communication with infected devices or deactivate devices altogether.

Botnet armies are large, intelligent, and constantly evolving, with the ability to infect hundreds or thousands of devices before being identified. In today’s cybersecurity landscape, large networks of cyberattackers are executing increasingly coordinated, large-scale attacks against systems from private enterprises to government operations.

In the era of botnets, cybersecurity measures must adapt to a much more sophisticated opponent. Gone are the days when an enterprise’s biggest cybersecurity worry was a firewall hack or a stolen password.

Botnet DDoS attacks can cost companies massive amounts of time and money. If a botnet army can carry out an attack against your system, the attack can shut down your end-user applications indefinitely. Once your system is overwhelmed with botnets, shutting down communication with hundreds or thousands of infected devices is a difficult and time-consuming process. To prevent this type of service loss, botnet prevention tools can be an immensely valuable investment for small and large enterprises alike.

With SolarWinds Security Event Manager (SEM), you have access to cutting-edge botnet detection techniques. SEM is built to use real-time network traffic flow correlation to identify unusual traffic patterns, so you can flag potential botnets before they attack.

Once you have identified an unusual traffic pattern, SEM uses an intelligent, constantly evolving list of known bad actors to help you identify which devices may be bots. SEM also uses log data from cybersecurity software to help you identify potential bots.

Although botnet detection is a challenging task, SEM provides automated monitoring and detection systems to minimize the amount of manual surveillance you must perform. And to expedite your response to threats, SEM is built to send alerts straight to your inbox, with trigger conditions based on customizable thresholds. You can also adjust SEM settings to automatically block suspicious IP addresses or deactivate a device entirely.

Other SolarWinds Tools to Help Detect Cybersecurity Issues:

• SolarWinds Identity Monitor
• SolarWinds NetFlow Traffic Analyzer
• SolarWinds Network Performance Monitor

Related Features:

• DDoS Detection
• Identify Spear Phishing Attacks
• Ransomware Detection Software
• Cross Site Scripting Prevention
• Detect SQL Injection Attacks