The 21st Century Bot: A Legacy of Destruction and Mayhem

Alone or in groups, malware bots – a software app that performs a repetitive task that’s usually done by humans on the internet – are powerful, capable, and downright nasty.

The 21st Century Bot

Malicious attackers create bots in order to infect devices and take advantage of software flaws, and they’re might effective:

  • They are harmful when they work alone. Individual bots can run low-key application-level attacks.
  • They are even more damaging in groups. Malicious attackers use the collective computing power of many thousands of bots to multiply the damage they do. By using a botnet as a force multiplier, malicious attackers overwhelm network assets with vast volumes of junk traffic, steal credentials, or spy on people and organizations.
  • They are versatile. A partial list of their destructive abilities includes multiplying by infecting other computers or devices, launching DDoS attacks, gathering passwords, opening backdoors on infected computers, and taking advantage of software flaws discovered by malware.
  • They go unnoticed in host networks. Newer, more subtle cyber-attacks use bots to sneak into a network and start working – quietly. The goal is to get the bot to blend in as much as possible and avoid standard detection methods such as next-generation firewalls.
  • They evolve to run more capable exploits. The modular structure of bot source code enables authors to design more sophisticated exploits with less time and effort than earlier programming methods.

1] Cannon fodder of the botnet wars

Ever wondered why botnet-related cyber-attacks have mushroomed in size? If so, look no further than the use of internet-connected (IoT) devices. Servers, laptops, sensors, mobile devices such as smartphones and tablets, and every connected gadget you can think of are candidates for bot-dom. These devices and appliances have become the go-to hardware that malware authors can turn into bots.

If an embedded device runs an operating system and has networking ability, it’s an IoT device. The problem is, IoT devices have little or no built-in security. They do have software flaws such as hard code or default credentials, buffer overflows, and command injection attacks.

Manufacturers and consumers are finally waking up to the danger of IoT devices becoming bots, but progress is slow. Security researchers recommend thorough, consistent security hygiene throughout a network and access to large-scale DDoS mitigation services as needed.

2] More highly evolved bots, more revenues for cybercrooks

Recent evidence shows that some of the most potent cyber-attacks are the result of advanced bot evolution. These days, malware authors reuse, refine, and customize the modular open-source code.


Their new and improved botnets magnify brute force functions, identify different types of IoT devices, and specify different bot behaviors for different situations and IoT device types.

Security researchers often describe new bots or botnets as variants of older, familiar malware. For example, IoT botnet authors use the Mirai source code as a framework to build new malware for variants such as Satori, OMG, and Wicked. Malware authors expanded the original Mirai code base with new capabilities and functionality while making some improvements.

The desire of malware authors (and their customers) to maximize the ROI of malware attacks has led to the development of multi-intent malware. Now, a single successful exploit can open multiple revenue streams to innovative malware authors. However, successful attacks require malware that can assess the potential income of several possible exploits and react accordingly.

For example, bots enabled with multi-intent malware can decide whether to encrypt data for a ransomware attack or steal it in a data breach. There’s enough intelligence in the bot malware to identify each device and squeeze the highest potential revenue for each compromised asset.

3] Getting the jump on the botmasters

In the past, defeating bots was a simple matter. Just blacklist their IP address and install a next-generation firewall, and you’re done.

Now, next-gen bots behave as if they’re operating in an actual user environment. Traditional methods of detection can’t identify them.

However, there are new mitigation services that enable effective bot management. Look for these capabilities to ensure that you’ll be ready if a botnet comes knocking on your network door.

  • Bot identification.

Direct identification is an essential first step to mitigation. For that, a database that stores millions of browser and bot signature variants is the best way to identify most bots. Because bot evolution never stops, the database should continually expand with data gathered by security specialists.

  • New bot profile.

If network monitoring services find a new bot variant, it’s best to profile it for IP address information, HTTP/S header content, network behavior patterns, and technology fingerprints.

  • Behavior challenges.

If a new bot behaves suspiciously, the mitigation service should issue a string of transparent challenges, such as parsing JavaScript or holding a cookie. It’s also best to avoid the consistent use of CAPTCHA challenges. They tend to interrupt the website experience of legitimate users.

  • Built-in customized controls.

Whitelisting and blacklisting bots or visitors with specific characteristics is easy when you create customized security rules. It’s even better if you can distribute these rules quickly with minimal effort

Bots are getting smarter, more powerful, and more versatile every year. Even if you implement in-house protection measures consistently, you’ll need extra help to keep next-gen bots from damaging your IT assets.

That’s where a DDoS mitigation service comes in. It’s ongoing protection that continues to evolve with the malware.

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About the author

Michael Austin

Michael Austin is a Internet Entrepreneur, Blogger, Day Dreamer, Business Guy, Fitness Freak and Digital Marketing Specialist. He also helps companies to grow their online businesses.

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