Malware Insights
The PDF file contains embedded JavaScript, identified by multiple heuristics including 'PDF_JAVASCRIPT' and 'PDF_JS'. The script utilizes string concatenation and evaluation ('eval') to construct and execute code, a common technique for obfuscation and payload delivery. The 'PDF_METADATA_EVAL_STAGER' heuristic specifically points to the use of metadata for staging malicious actions. The script's purpose appears to be downloading and executing a second-stage payload, as indicated by the 'ML_NYX_PDF_MALICIOUS' score and ClamAV detection ('Pdf.Exploit.Dropped-94').
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 4
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ClamAV: Pdf.Exploit.Dropped-94 critical CLAMAV_DETECTIONClamAV detected this file as malware: Pdf.Exploit.Dropped-94
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PDF metadata JavaScript eval stager high PDF_METADATA_EVAL_STAGERPDF JavaScript reads document metadata fields such as title, subject, or producer, decodes character data with parseInt/String.fromCharCode style helpers, and evals the recovered stage. This is a high-signal exploit-kit staging pattern.
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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.
Extracted artifacts 1
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
javascript_obj0076_000.js719fe86d426b2b9dc460dfd388e1e9352417d55d8dbba3cfe8de3abbec658155 |
pdf-javascript-stream | PDF /JS object 76 at offset 0x315C | 331 bytes |
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