MALICIOUS
134
Risk Score
Malware Insights
MITRE ATT&CK
T1059.001 Command and Scripting Interpreter: PowerShell
T1204.002 Malicious File: User Execution: Malicious File
The PDF file was flagged as malicious by a machine learning classifier and exhibits multiple indicators of malicious JavaScript. The presence of PDF_JAVASCRIPT, PDF_JS, and PDF_FILTER_HEX/85 filters suggests the execution of embedded scripts. These scripts are likely responsible for exploiting vulnerabilities or delivering a secondary payload, contributing to the overall malicious nature of the document.
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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