MALICIOUS
134
Risk Score
Malware Insights
MITRE ATT&CK
T1059.007 Service Execution: JavaScript
The PDF contains embedded JavaScript and utilizes ASCIIHexDecode and ASCII85Decode filters, which are commonly used to obfuscate malicious code. A machine learning classifier strongly flagged this PDF as malicious, and correlated signals confirm the presence of malicious JavaScript. The primary attack vector appears to be exploiting vulnerabilities within the PDF reader via these embedded scripts.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 5
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Correlated malicious PDF JavaScript signals critical PDF_CORRELATED_MALICIOUS_JSPDF JavaScript or auto-action content is corroborated by exploit staging, ML, or suspicious extracted-artifact findings. This correlation promotes old exploit-kit PDFs that otherwise remain in the suspicious band because each individual signal is intentionally weighted conservatively.
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ASCIIHexDecode filter (with exploit indicators) medium PDF_FILTER_HEXHex-encoding filter present alongside exploit delivery indicators — often used to hide payload or shellcode bytes
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JavaScript action low PDF_JAVASCRIPTPDF contains a /JavaScript action. Generic JavaScript is common in benign forms; specific dangerous APIs are scored by separate rules.
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Embedded JS stream low PDF_JSPDF references a /JS stream. Generic JavaScript is common in benign forms; specific dangerous APIs are scored by separate rules.
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ASCII85Decode filter (with exploit indicators) low PDF_FILTER_85ASCII85 encoding filter present alongside exploit delivery indicators — uncommon outside of obfuscation
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