Home Malware Programs Backdoors Backdoor.Win32.VB.oyu

Backdoor.Win32.VB.oyu

Posted: October 21, 2011

Threat Metric

Threat Level: 8/10
Infected PCs: 19
First Seen: October 21, 2011
Last Seen: July 24, 2022
OS(es) Affected: Windows

According to SpywareRemove.com security experts, Backdoor.Win32.VB.oyu is a particular nasty backdoor Trojan that functions as a variant of the VOlk botnet. Reports from SpywareRemove.com security experts, conclude that Backdoor.Win32.VB.oyu is being spread and distributed by infected web links on various social networking sites, as well as via malicious spammed out email messages.
 
Additionally, it is known that Backdoor.Win32.VB.oyu is incredible difficult to find and remove from infected computer systems, thus a good defensive system against these types of malicious attacks is always a good idea. To protect your PC against Backdoor.Win32.VB.oyu, always be wary of any kind of suspicious, spam-like emails AND NEVER open any suspicious email attachments of any kind.

Details of Backdoor.Win32.VB.oyu

Based in Mexico, the VOlk botnet is a malicious monstrosity that has been, and continues to be, responsible for innumerable pharming attacks against several banking institutions located throughout Latin America.
 
The malicious practice of 'pharming' can be briefly defined as a malicious hacker's directed attack meant to forcefully redirect a compromised computer system's website traffic to various harmful and corrupt web domains. Usually, a hacker with the intention of conducting pharming attacks will either exploit various vulnerabilities found in DNS server programs or alter hosts files on infected computer systems.
 
This particular seditious security threat, Backdoor.Win32.VB.oyu, targets and attacks individuals who utilize services offered by the Chilean and Argentinean financial institutions that are being assaulted by the VOlk botnet. To be precise, Backdoor.Win32.VB.oyu is generated and employed by its malicious hacker creators to attack end-users associated with the banking institutions under attack.

Backdoor.Win32.VB.oyu's Relationship to the Malicious VOlk Botnet

Briefly and generally defined, a botnet is a collection of infected, zombie-like computer systems – or bots – that have had a botnet installed on them. A botnet is installed on targeted systems in order to force them to fulfill the botnet's various requests and commands. You can think of a computer system infected with a botnet, as a 'pod person' of sorts; the infected system is still the same machine, but it is being controlled by its botnet master from a remote location.
 
The VOlk botnet, specifically, seems to be an expert in encouraging and supporting highly advanced pharming attacks against the computer systems that it manages to compromise with the help of its various variants, namely – in terms of this particular description – Backdoor.Win32.VB.oyu. In other words, if your computer system is one of the many systems that have been compromised by Backdoor.Win32.VB.oyu, there is a very good chance that your system's web browser will be forcefully redirected and rerouted to various malicious websites that were created by hackers.
 
Backdoor.Win32.VB.oyu's relationship to the VOlk botnet is dangerous for several reasons. One major reason is that botnets are known for their ability to turn compromised computer systems into bots, or zombie systems, that are controlled by the remote attacker responsible for the botnet.
 
Another major reason why Backdoor.Win32.VB.oyu's association with the VOlk botnet is especially problematic for the computer systems that Backdoor.Win32.VB.oyu compromise, is that the particular botnet in question is one that specializes in pharming. Often, malicious websites that the VOlk botnet will work to forcefully redirect the compromised computer systems' web browser to, will comprise of malicious, corrupt malware-propagating web domains. Websites of these kinds are known to attempt to flood already compromised systems with various malware products, which can completely disable compromised computer systems.

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