MALICIOUS
142
Risk Score
Malware Insights
MITRE ATT&CK
T1204.002 Malicious File: Malicious File
The PDF file contains embedded JavaScript and utilizes decoding filters (ASCIIHexDecode, ASCII85Decode) often associated with exploit delivery. A machine learning classifier and correlated signals strongly indicate malicious JavaScript execution, likely intended to exploit a PDF vulnerability and download a secondary payload.
Machine Learning
- Nyx PDF Classifier malicious score 0.9998
Heuristics 6
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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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Additional-actions dictionary low PDF_AAPDF defines /AA (Additional Actions) that references an executable action (JS/JavaScript/Launch/SubmitForm) — can auto-trigger on document or widget events. Form-field calc/format/validate/keystroke handlers in legitimate interactive forms commonly fire this, so it is reported as a low-weight signal; weaponised auto-execution is flagged by stronger rules (PDF_OPENACTION, encrypted-with-JS, etc.)
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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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