Detecting Malicious JavaScript in PDFs Using Conservative Abstract Interpretation
July 2017

To mitigate the risk posed by JavaScript-based PDF malware, we propose a static analysis technique based on abstract interpretation. Our evaluation shows that our approach can identify 100% of malware with a low rate of false positives.

Authors: Alexander Jordan

Venue: TU Wien, Austria


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