MALICIOUS
134
Risk Score
Malware Insights
MITRE ATT&CK
T1059.001 PowerShell
T1566.001 Spearphishing Attachment
T1204.002 Malicious File
The PDF file exhibits multiple high-confidence indicators of malicious JavaScript execution, including ML classification and specific heuristic firings related to embedded JS streams and exploit-related filters. The presence of correlated malicious JavaScript signals strongly suggests the document is designed to exploit vulnerabilities and likely download additional payloads. The document body was unreadable, but the technical indicators are sufficient for a high-confidence assessment.
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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