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Kelihos botnet

Kelihos botnet is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Kelihos botnet rather than just read about it. In short: The Kelihos botnet, also known as Hlux, is a botnet mainly involved in spamming and the theft of bitcoins. History The Kelihos botnet was first discovered around December 2010.

Kelihos botnet — main illustration
Kelihos botnet — illustration

Key takeaways

  • Kelihos botnet belongs to computer science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Kelihos botnet to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Kelihos botnet from memory before moving on to harder problems.

Reference excerpt

The Kelihos botnet, also known as Hlux, is a botnet mainly involved in spamming and the theft of bitcoins.

History The Kelihos botnet was first discovered around December 2010. Researchers originally suspected having found a new version of either the Storm or Waledac botnet, due to similarities in the modus operandi and source code of the bot, but analysis of the botnet showed it was instead a new, 45,000-infected-computer-strong botnet that was capable of sending an estimated 4 billion spam messages a day. In September 2011, Microsoft took down the botnet in an operation codenamed "Operation b79". At the same time, Microsoft filed civil charges against Dominique Alexander Piatti, dotFREE Group SRO and 22 John Doe defendants for suspected involvement in the botnet for issuing 3,700 subdomains that were used by the botnet. These charges were later dropped when Microsoft determined that the named defendants did not intentionally aid the botnet controllers. In January 2012, a new version of the botnet was discovered, one sometimes referred to as Kelihos.b or Version 2, consisting of an estimated 110,000 infected computers. During this same month Microsoft pressed charges against Russian citizen Andrey Sabelnikov, a former IT security professional, for being the alleged creator of the Kelihos Botnet sourcecode. The second version of the botnet itself was shut down in March 2012 by several privately owned firms by sinkholing it – a technique which gave the companies control over the botnet while cutting off the original controllers. Following the shutdown of the second version of the botnet, a new version surfaced as early as April 2, though there is some disagreement between research groups whether the botnet is simply the remnants of the disabled Version 2 botnet, or a new version altogether. This version of the botnet currently consists of an estimated 70,000 infected computers. The Kelihos.c version mostly infects computers through Facebook by sending users of the website malicious download links. Once clicked, a Trojan horse named Fifesoc is downloaded, which turns the computer into a zombie, which is part of the botnet. On 24 November 2015 a Kelihos botnet event occurred causing widespread false positives of blacklisted IPs:

″November 24, 2015 Widespread false positives Earlier today, a very large scale Kelihos botnet event occurred - by large scale, many email installations will be seeing in excess of 20% kelihos spam, and some will see their inbound email volume jump by a volume of as much as 500%. This isn't an unusual thing normally, the CBL/XBL has been successfully dealing with large scale Kelihos spam spikes like this, often daily, for years. The email was allegedly from the US Federal Reserve, saying something about restrictions in "U.S. Federal Wire and ACH online payments." Not only was the notice itself fraudulent, the attached Excel spreadsheet (.xls) contained macro instructions (a downloader) to download a Windows executable virus, most likely Dyreza or Dridex malware. The detection rules initially deployed by the CBL unfortunately were insufficiently detailed, and listed a number of IP addresses in error.″

An affidavit unsealed on 5 February 2018, showed Apple's unexpected role in bringing the Russian spam king to justice. Peter Levashov allegedly ran the Kelihos botnet under the alias "Severa", renting out access to spammers and other cybercriminals. But despite Levashov's significant efforts at anonymity, court records show that federal agents had been surveilling his iCloud account since 20 May 2016, funneling back crucial information that may have led to his arrest. The standing federal iCloud warrant would have given authorities a running tab of IP addresses used to log in to the account, which could easily have tipped them off to his vacation in Barcelona, Spain, and was arrested at the request of US law enforcement and extradited to the United States for prosecution.

Structure, operations and spread The Kelihos botnet is a so-called peer-to-peer botnet, where individual botnet nodes are capable of acting as command-and-control servers for the entire botnet. In traditional non-peer-to-peer botnets, all the nodes receive their instructions and "work" from a limited set of servers – if these servers are removed or taken down, the botnet will no longer receive instructions and will therefore effectively shut down. Peer-to-peer botnets seek to mitigate that risk by allowing every peer to send instructions to the entire botnet, thus making it more difficult to shut down. The first version of the botnet was mainly involved in denial-of-service attacks and email spam, while version two of the botnet added the ability to steal Bitcoin wallets, as well as a program used to mine bitcoins itself. Its spam capacity allows the botnet to spread itself by sending malware links to users in order to infect them with a Trojan horse, though later versions mostly propagate over social network sites, in particular through Facebook. A more comprehensive list of the Kelihos spam can be found in the following research paper.

Arrest and extradition On 2 February 2018, the United States Department of Justice announced that a Russian national has been extradited from Spain and will be arraigned in Connecticut on charges stemming from his alleged operation of the Kelihos botnet. Peter Yuryevich Levashov, 37, also known as Pyotr Levashov, Petr Levashov, Peter Severa, Petr Severa and Sergey Astakhov, of St. Petersburg, was detained on 7 April 2017 in Barcelona, when he was arrested by Spanish authorities based upon a criminal complaint and arrest warrant issued in the United States District of Connecticut. On 3 February 2018, he pleaded not guilty to the charges of wire and email fraud, hacking, identity theft and conspiracy after appearing before a federal judge in the U.S. state of Connecticut. He remains in detention. In September 2018, Levashov pleaded guilty.

See also Botnet E-mail spam Internet crime Internet security Malware

References

Worked examples

Example 1 — a first encounter with Kelihos botnet

Start with the simplest possible case. Write down what Kelihos botnet claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Kelihos botnet before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Kelihos botnet ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Kelihos botnet

In research
Kelihos botnet appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Kelihos botnet in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Kelihos botnet is common in secondary-school and first-year university syllabi. It links to neighbouring topics 2010 in computing, 2010s in hacking, Botnets, so understanding it makes those chapters shorter.
In everyday life
Look for Kelihos botnet outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Kelihos botnet in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Kelihos botnet means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Kelihos botnet out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Kelihos botnet in simple terms?

The Kelihos botnet, also known as Hlux, is a botnet mainly involved in spamming and the theft of bitcoins. History The Kelihos botnet was first discovered around December 2010.

Why does Kelihos botnet matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Kelihos botnet?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Kelihos botnet.

Tags

  • 2010 in computing
  • 2010s in hacking
  • Botnets
  • Distributed computing projects
  • Internet security
  • Spamming

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