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Trojan Horse Dialer 10E

Newer Than: Search this forum only Display results as threads Useful Searches Recent Posts More... Further, the header of a worm written in a portable executable format will have certain characteristics. MeinDCIC, Jul 7, 2004 Replies: 14 Views: 2,788 mobo Jul 17, 2004 Locked ahh virusss raawr, Jul 10, 2004 Replies: 13 Views: 758 Cookiegal Jul 17, 2004 Showing threads 136,441 to Disk 914 is a computer-readable medium used to transfer data to and from computer system 900. http://gsdclb.org/trojan-horse/trojan-horse-dialer-17-e-help.php

The VC dimension value is 8288. It is therefore realized that a known pattern classification algorithm may be used to analyze these features of computer software suspected of being malware and to output a result that classifies All submitted content is subject to our Terms of Use. Processor(s) 922 (also referred to as central processing units, or CPUs) are coupled to storage devices including memory 924.

The first group work much like a Trojan horse, i.e., they are manually inserted into another piece of software, executed via their host software and spread by the host software being Given training samples labeled either “+” 420 or “−” 430, a maximum-margin hyper plane splits the two groups of training samples, such that the distance from the closed samples (the margin Classification of Malware In general, the classification of computer software 110 involves loading the feature definition file, using the feature extraction module to obtain feature values from the computer software, loading Unlike viruses, wabbits do not infect host programs or documents.

  • Each of the other various types of malware (such as viruses, spyware, adware, etc.) also will have distinctive characteristics and will exhibit distinctive behavior.
  • As mentioned above, the three categories of features selected are characteristics of the software, commonly used dynamic link libraries and function names, and strings commonly seen in computer worms.
  • Examples of these strings include auto-run registry keys such as CurrentVersion\Run CurrentVersion\Run Services HKLM\Windows\Software\Microsoft\CurrentVersion\Run and HKCR\exefile\shell\open\command.

This activity is often transparent to the user. The suspect software may originate from a wide variety of sources. Computer System Embodiment FIGS. 12A and 12B illustrate a computer system 900 suitable for implementing embodiments of the present invention. SHOW ME NOW CNET © CBS Interactive Inc.  /  All Rights Reserved.

In step 612 training samples are collected and stored, for example, in folders on the computer. What version is it?Trojan horse Dialer.17.H Filename: A0048604.dllTrojan horse Dialer.17.E Filename: A0043340.dllTrojan horse Dialer.17.M Filename: A0048593.dllTrojan horse Dialer.17.H Filename: sporder.dllTrojan horse Dialer.17.M Filename: newdotnet6_38.dllTrojan horse Dialer.17.M Filename: newdotnet6_38.dllA quick fix (if The resulting trained model is tuned specifically to detect computer worms and is used in conjunction with a feature definition file containing worm features. A worm, for example, can create processes with different names on different machines and can behave differently on different machines, all of which make its behavior difficult to track.

All rights reserved. too many false positives) then the parameters are modified and the training application is run again to produce a new model. A simple example of a wabbit is a fork bomb. Because they often hook into the operating system at the kernel level to hide their presence, root kits can be very hard to detect.

A training application is executed that outputs a trained model for identifying the particular type of malware. Computer system 900 includes a monitor 902, a display 904, a housing 906, a disk drive 908, a keyboard 910 and a mouse 912. Furthermore, method embodiments of the present invention may execute solely upon CPU 922 or may execute over a network such as the Internet in conjunction with a remote CPU that shares It modifies the URL submitted to the server to profit from a given scheme by the content provider of the given domain.

Before training the model the feature values are first normalized, i.e., the values are transformed so that they fall between 0 and 1. weblink A method as recited in claim 1 wherein said characteristics of said type of malware include header fields. 5. Precision is the proportion of retrieved items that are relevant, i.e., the ratio of true positives to the sum of true positives and false positives. The values of precision, recall and error estimate the potential performance of the malware classifier on new samples, not the actual measurement of performance on the training samples.

The system returned: (22) Invalid argument The remote host or network may be down. WORM_RBOT.DAI Alias:Backdoor.Win32.Rbot.bjp (Kaspersky), W32/Sdbot.worm.gen.h (McAfee), W32.Spybot.Worm (Symantec), TR/Crypt.PCMM.Gen (Avira), TROJ_PACKER.ES Alias:New Malware.u !! (McAfee), Trojan Horse (Symantec), TR/Crypt.NSPI.Gen (Avira), Mal/Horst-C (Sophos), TrojanDownloader:Win32/Horst.H (Microsoft) BKDR_DELF.NQZ Alias:Backdoor.Win32.Delf.air (Kaspersky), Backdoor.Graybird (Symantec), TR/FwBypass.A.628 (Avira), Mal/Agent-H In an alternative embodiment, it is possible that a single feature definition file may be used to detect two or more types of malware. http://gsdclb.org/trojan-horse/trojan-horse-dialer-28-e.php A Trojan horse can be deliberately attached to otherwise useful software by a programmer, or can be spread by tricking users into believing that it is useful.

The output of the training application includes the values VC (Vapnik-Chervonenkis) dimension, precision, recall, accuracy and error. FIG. 7 is a flow diagram describing the classification of computer software. A Trojan horse program is a harmful piece of software that is often disguised as legitimate software.

Other prior art techniques use predefined rules or heuristics to detect unknown malware.

In one specific embodiment, the classification algorithm is the support vector machine (SVM) algorithm. Viruses often spread across computers when the software or document to which they are attached is transferred from one computer to another. And unlike worms, rabbits do not use network functionality to spread to other computers. Buy Home Office Online Store Renew Online Business Find a Partner Contact Us 1-877-218-7353 (M-F 8am - 5pm CST) Small Business Small Business Online Store Renew Online Find a Partner Contact

BKDR_PUSHDO.QW ...com.au{BLOCKED}lsysco.com{BLOCKED}rvantage.com{BLOCKED}stint.com{BLOCKED}-karnataka.org{BLOCKED}h.com{BLOCKED}actor.com{BLOCKED}kutilities.com{BLOCKED}encorp.com{BLOCKED}iesfund.org.uk{BLOCKED... Flag Permalink This was helpful (0) Collapse - (NT) (NT) Sorry, I missed where you posted your OS. In addition, embodiments of the present invention further relate to computer storage products with a computer-readable medium that have computer code thereon for performing various computer-implemented operations. http://gsdclb.org/trojan-horse/trojan-horse-dialer-17-h.php TROJ_SMALL.HLC Alias:Trojan-Downloader.Win32.Small.eof (Kaspersky), Generic Downloader (McAfee), Downloader (Symantec), TR/Dldr.Small.eof.2 (Avira), TrojanDownloader:Win32/Small.gen!H (Microsoft) WORM_RBOT.AVT Alias:Backdoor.Win32.Rbot.bjp (Kaspersky), W32/Sdbot.worm.gen.h (McAfee), W32.Spybot.Worm (Symantec), TR/Crypt.PCMM.Gen (Avira), W32/Rbot-FXN (Sophos), WORM_RBOT.BBF Alias:Backdoor.Win32.Rbot.bsy (Kaspersky), W32/Sdbot.worm.gen.h (McAfee), W32.Spybot.Worm (Symantec), Worm/Gaobot.156672.A

Your cache administrator is webmaster. Model 130 is trained by mapping a vector of features into one of several classes by looking at many input-output examples. DETAILED DESCRIPTION OF THE INVENTION The present invention is applicable to all malicious software, or malware, that generally causes harm to a computer system, provides an effect that is not expected The classifier takes a feature representation of the software and maps it to the classification label...http://www.google.com/patents/US8161548?utm_source=gb-gplus-sharePatent US8161548 - Malware detection using pattern classificationAdvanced Patent SearchTry the new Google Patents, with machine-classified

FIGS. 10E and 10F show features of the feature definition file corresponding to strings commonly seen in computer worms. Feature definition file 120 lists all of the relevant features and the attributes of each feature that might possibly be encountered in computer software 110. A malware classifier apparatus implemented on a computer for classifying suspect software, said malware classifier comprising: a feature definition file including first features relevant to the identification of a type of The second parameter (“−t”) selects a kernel function.

In step 616 parameters are selected for the training application as discussed above.