ArtsAutosBooksBusinessEducationEntertainmentFamilyFashionFoodGamesGenderHealthHolidaysHomeHubPagesPersonal FinancePetsPoliticsReligionSportsTechnologyTravel

Well Known Bot Families

Updated on November 6, 2011

Created: November 6, 2011

Botnets evolve over time and there may be hundreds of variations of the same bot in numerous botnets. These variations may be individually named or not depending on the hacker group that maintains the particular version. Cyber-criminal groups develop large botnets typically based on one or more bot families. Hackers sometimes use obfuscation techniques to change the appearance that the bot presents to anti-virus/malware packages. When obfuscation is the only change to a bot, the bot retains the same name but the signature count for the bot increases. At the time of this writing there are over 150,000 bot signatures monitored by Spybot Search & Destroy. (SaferNetworking.org, 2008). Many of these bots fall within the following major bot families:

Agobot

Agobot is according to Bacher, et al. (2005); the best know bot with an ever-increasing count of over 500 known variations. Other members of this bot-family include Phatbot, Forbot, and XtreclientmBot. Using libpcap, a well known packet sniffer, in conjunction with Perl Compatible Regular Expressions (PCRE) enables Agobot to listen in on other traffic. Agobot also offers rootkit capability to hide from detection tools and detect debuggers and virtual machines.

SDBot

One of the most active bot-families according to Bacher, et al. (2005), is the SDBot family. This bot family is poorly designed but very popular with hackers as demonstrated by the number of instances occurring in the wild. SDBot offers similar functionality to Agobot and the bot’s popularity may be attributed to the simplified command set and ease of use. Other members of the SDBot family include RBot, RxBot, UrBot, UrXBot, and JrBot.

GT Bots

The largest group of threats are classified as Global Threats or abbreviated as GT. “GT-Bots spread by exploiting weaknesses on remote computers and uploading themselves to compromised hosts” (Bacher, et al., 2005). Bots based on the Microsoft IRC client are classified as mIRC-based bots and referred to as GT-Bots because of the sheer volume of varieties. These bots rely on the functionality of the mIRC protocol for C&C and include various scripts. Dynamic Link Library (DLL) modules extend the bot’s functionality and promote the infection of other hosts. The mIRC script files are often identified by the file extension mrc. Finding the HideWindows rootkit on a host provides a good indication that the host may be a member of a GT-Bot-based botnet.

Dataspy Network X (DSNX)

The DSNX bot is a highly extendable bot and includes many plug-in interfaces. Hackers must, however, write or download the plug-ins necessary to spread the bot according to Bacher, et al. (2005). Available plug-ins includes those necessary to launch DDoS attacks and create HTTP servers used to host malicious web sites.

Q8 Bots

What is most notable about the Q8bot is that this bot is specifically written for UNIX/Linux systems and is very small as noted by Bacher, et al. (2005). This bot contains most of the common features of bots except for one: there is no native functionality for the bot to spread so the hot-herder must actively spread this threat.

Kaiten

The kaiten bot is another small bot written for the UNIX/Linux OS. This bot has one flaw, which is a weak authentication method. This deficiency makes the bot easy to hijack. (Bacher, et al., 2005). The most notable feature of the kaiten bot is a remote shell that gives the hacker the ability to search for other vulnerabilities and actively explore infected systems. Bot-herders often loose botnets based on kaiten because of the weak authentication method.

Pearl Based Bots

The final family of bots includes those based on the Perl programming language. “These bots are very small and contain in most cases only a few hundred lines of code. They offer only a rudimentary set of commands (most often DDoS-attacks) and are used on Unix-based systems” (Bacher, et al., 2005).

What do you think, do you know of other bot-families?

As always, the author appreciates all comments.

References

Bacher, P., Holz, T., Kotter, M., and Wicherski, G. (2005). Know your enemy: Tracking botnets. Using honeynets to learn more about bots. The Honeynet Project & Research Alliance. Retrieved May 1, 2008 from http://www.honeynet.org/papers/bots/

SaferNetworking.org (2008). Spybot Search and Destroy. Available from http://www.safer-networking.org/en/index.html


working

This website uses cookies

As a user in the EEA, your approval is needed on a few things. To provide a better website experience, hubpages.com uses cookies (and other similar technologies) and may collect, process, and share personal data. Please choose which areas of our service you consent to our doing so.

For more information on managing or withdrawing consents and how we handle data, visit our Privacy Policy at: https://corp.maven.io/privacy-policy

Show Details
Necessary
HubPages Device IDThis is used to identify particular browsers or devices when the access the service, and is used for security reasons.
LoginThis is necessary to sign in to the HubPages Service.
Google RecaptchaThis is used to prevent bots and spam. (Privacy Policy)
AkismetThis is used to detect comment spam. (Privacy Policy)
HubPages Google AnalyticsThis is used to provide data on traffic to our website, all personally identifyable data is anonymized. (Privacy Policy)
HubPages Traffic PixelThis is used to collect data on traffic to articles and other pages on our site. Unless you are signed in to a HubPages account, all personally identifiable information is anonymized.
Amazon Web ServicesThis is a cloud services platform that we used to host our service. (Privacy Policy)
CloudflareThis is a cloud CDN service that we use to efficiently deliver files required for our service to operate such as javascript, cascading style sheets, images, and videos. (Privacy Policy)
Google Hosted LibrariesJavascript software libraries such as jQuery are loaded at endpoints on the googleapis.com or gstatic.com domains, for performance and efficiency reasons. (Privacy Policy)
Features
Google Custom SearchThis is feature allows you to search the site. (Privacy Policy)
Google MapsSome articles have Google Maps embedded in them. (Privacy Policy)
Google ChartsThis is used to display charts and graphs on articles and the author center. (Privacy Policy)
Google AdSense Host APIThis service allows you to sign up for or associate a Google AdSense account with HubPages, so that you can earn money from ads on your articles. No data is shared unless you engage with this feature. (Privacy Policy)
Google YouTubeSome articles have YouTube videos embedded in them. (Privacy Policy)
VimeoSome articles have Vimeo videos embedded in them. (Privacy Policy)
PaypalThis is used for a registered author who enrolls in the HubPages Earnings program and requests to be paid via PayPal. No data is shared with Paypal unless you engage with this feature. (Privacy Policy)
Facebook LoginYou can use this to streamline signing up for, or signing in to your Hubpages account. No data is shared with Facebook unless you engage with this feature. (Privacy Policy)
MavenThis supports the Maven widget and search functionality. (Privacy Policy)
Marketing
Google AdSenseThis is an ad network. (Privacy Policy)
Google DoubleClickGoogle provides ad serving technology and runs an ad network. (Privacy Policy)
Index ExchangeThis is an ad network. (Privacy Policy)
SovrnThis is an ad network. (Privacy Policy)
Facebook AdsThis is an ad network. (Privacy Policy)
Amazon Unified Ad MarketplaceThis is an ad network. (Privacy Policy)
AppNexusThis is an ad network. (Privacy Policy)
OpenxThis is an ad network. (Privacy Policy)
Rubicon ProjectThis is an ad network. (Privacy Policy)
TripleLiftThis is an ad network. (Privacy Policy)
Say MediaWe partner with Say Media to deliver ad campaigns on our sites. (Privacy Policy)
Remarketing PixelsWe may use remarketing pixels from advertising networks such as Google AdWords, Bing Ads, and Facebook in order to advertise the HubPages Service to people that have visited our sites.
Conversion Tracking PixelsWe may use conversion tracking pixels from advertising networks such as Google AdWords, Bing Ads, and Facebook in order to identify when an advertisement has successfully resulted in the desired action, such as signing up for the HubPages Service or publishing an article on the HubPages Service.
Statistics
Author Google AnalyticsThis is used to provide traffic data and reports to the authors of articles on the HubPages Service. (Privacy Policy)
ComscoreComScore is a media measurement and analytics company providing marketing data and analytics to enterprises, media and advertising agencies, and publishers. Non-consent will result in ComScore only processing obfuscated personal data. (Privacy Policy)
Amazon Tracking PixelSome articles display amazon products as part of the Amazon Affiliate program, this pixel provides traffic statistics for those products (Privacy Policy)
ClickscoThis is a data management platform studying reader behavior (Privacy Policy)