Malware Insights
The PDF file contains embedded JavaScript, identified by heuristics such as 'PDF_JAVASCRIPT' and 'PDF_JS'. A high-confidence heuristic 'PDF_METADATA_EVAL_STAGER' indicates that the JavaScript is used as a stager within the PDF metadata to decode and execute further code. The 'ML_NYX_PDF_MALICIOUS' classifier strongly supports a malicious verdict. The presence of 'String.fromCharCode' in the document body and metadata suggests obfuscation techniques commonly used to hide malicious JavaScript, which likely acts as a downloader for a second-stage payload.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 4
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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.
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String.fromCharCode low PDF_FROMCHARCODEString.fromCharCode found — used to construct payload strings dynamically. Common in benign JavaScript libraries for codepoint manipulation, so this alone is informational; weaponised use is also caught by the dedicated fromCharCode-stage and exploit-shape rules.
Extracted artifacts 1
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
javascript_obj0001_000.jsa06ca6024a0b1d65b2bddff831ee9c8dd1f1e2af056f14577db8347822fb4dc7 |
pdf-javascript-stream | PDF /JS object 1 at offset 0x6175 | 536 bytes |
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