Detecting Malicious JavaScript in PDFs Using Conservative Abstract Interpretation

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.