Name
Abstract | ||
|---|---|---|
Previous work has shown that JavaScript malware can manipulate its internal code with relative ease using an approach known as Transcriptase. However, the resulting malware remained susceptible to software similarity based scoring techniques. In this research, we develop and analyze an advanced version of Transcriptase that is entirely practical and is not detectable using any of several scoring techniques considered. Our technique, which is based on entropy manipulations and multiple layers of encryption, is applicable generally for use in malware obfuscation. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/MALWARE.2016.7888737 | 2016 11th International Conference on Malicious and Unwanted Software (MALWARE) |
Keywords | Field | DocType |
JavaScript malware,entropy manipulations,encryption layers,malware obfuscation | Cryptovirology,Internet privacy,Computer security,Computer science,Encryption,Software,Obfuscation,Malware,JavaScript | Conference |
ISBN | Citations | PageRank |
978-1-5090-4543-3 | 0 | 0.34 |
References | Authors | |
8 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fabio Di Troia | 1 | 15 | 6.19 |
| Corrado Aaron Visaggio | 2 | 619 | 45.84 |
| Thomas H. Austin | 3 | 307 | 15.96 |
| Mark Stamp | 4 | 513 | 33.32 |