Name
Abstract | ||
|---|---|---|
In this paper, we propose JABBIC lookups, a telemetry-based system for malware triage at the interface between proprietary reputation score systems and malware analysts. JABBIC uses file download telemetry collected from client protection solutions installed on end-hosts to determine the threat level of an unknown file based on telemetry data associated with files already known to be malign. We apply word embeddings, and semantic and relational similarities to triage potentially malign files following the intuition that, while single elements in a malware download might change over time, their context, defined as the semantic and relational properties between the different elements in a malware delivery system (e.g., servers, autonomous systems, files) does not change as fast. To this end, we show that JABBIC can leverage file download telemetry to allow security vendors to manage the collection and analysis of unknown files from remote end-hosts for timely processing by more sophisticated malware analysis systems. We test and evaluate JABBIC lookups with 33M download events collected during October 2015. We show that 85.83% of the files triaged with JABBIC lookups are part of the same malware family as their past counterpart files. We also show that, if used with proprietary reputation score systems, JABBIC can triage as malicious 55.1% of files before they are detected by VirusTotal, preceding this detection by over 20 days. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1007/978-3-030-90022-9_9 | SECURITY AND PRIVACY IN COMMUNICATION NETWORKS, SECURECOMM 2021, PT II |
Keywords | DocType | Volume |
Malware triage, Word embeddings | Conference | 399 |
ISSN | Citations | PageRank |
1867-8211 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Octavian Ciprian Bordeanu | 1 | 0 | 0.34 |
| Gianluca Stringhini | 2 | 701 | 61.87 |
| Yun Shen | 3 | 0 | 0.34 |
| Toby Davies | 4 | 0 | 0.34 |