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Title: TracerFIRE Malware Team.

Abstract

Abstract not provided.

Authors:
;
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1372737
Report Number(s):
SAND2016-6893D
645864
DOE Contract Number:
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the SIP Symposium held July 26, 2016 in Albuquerque, NM.
Country of Publication:
United States
Language:
English

Citation Formats

Butler, Cody, and Grigsby, Isaiah. TracerFIRE Malware Team.. United States: N. p., 2016. Web.
Butler, Cody, & Grigsby, Isaiah. TracerFIRE Malware Team.. United States.
Butler, Cody, and Grigsby, Isaiah. 2016. "TracerFIRE Malware Team.". United States. doi:. https://www.osti.gov/servlets/purl/1372737.
@article{osti_1372737,
title = {TracerFIRE Malware Team.},
author = {Butler, Cody and Grigsby, Isaiah},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = 2016,
month = 7
}

Conference:
Other availability
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  • We present the forensic analysis repository for malware (FARM), a system for automating malware analysis. FARM leverages existing dynamic and static analysis tools and is designed in a modular fashion to provide future extensibility. We present our motivations for designing the system and give an overview of the system architecture. We also present several common scenarios that detail uses for FARM as well as illustrate how automated malware analysis saves time. Finally, we discuss future development of this tool.