MALICIOUS
134
Risk Score
Malware Insights
MITRE ATT&CK
T1059.001 Command and Scripting Interpreter: PowerShell
T1059.003 Command and Scripting Interpreter: Windows Command Shell
T1059.007 Command and Scripting Interpreter: JavaScript/TypeScript
The PDF file was flagged as malicious by a machine learning classifier with a very high probability. Static analysis revealed the presence of embedded JavaScript, which is often used to exploit vulnerabilities or download further malicious content. The use of ASCIIHexDecode and ASCII85Decode filters, combined with JavaScript, strongly suggests an attempt to obfuscate and execute malicious code.
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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