MALICIOUS
86
Risk Score
Malware Insights
MITRE ATT&CK
T1059.001 PowerShell
The PDF sample was flagged by a machine learning classifier and contains embedded JavaScript. The presence of PDF_ENCRYPTED_WITH_JS indicates that the PDF's content is encrypted and likely uses JavaScript to perform the decryption and execute a payload. This suggests an attempt to bypass static analysis and deliver a malicious payload. The ML classifier's high score further supports the malicious nature of the file.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 3
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Encrypted PDF carries /OpenAction — payload hidden from static analysis high PDF_ENCRYPTED_WITH_JSPDF declares /Encrypt and also references an executable trigger (/OpenAction). Document encryption hides the JavaScript body and stream contents from static scanners — combined with auto-execution indicators this is a known evasion pattern used to deliver weaponised JavaScript that the analyst cannot inspect without the decryption key.
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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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