Malware Insights
The PDF file contains embedded JavaScript, identified by heuristics like 'PDF_JAVASCRIPT' and 'PDF_JS'. The 'PDF_METADATA_EVAL_STAGER' heuristic indicates that the JavaScript is used to decode and execute further code, likely from the embedded 'javascript_obj0001.js' stream. The ML classifier strongly flags this PDF as malicious. The presence of String.fromCharCode further suggests obfuscation techniques common in malicious PDFs. The primary attack pattern involves leveraging PDF's JavaScript capabilities to initiate a malicious execution chain.
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.jsf5d3e04c5639c94b5ad1edab62d85408c1f43b45311f2dc01e6b82d281137108 |
pdf-javascript-stream | PDF /JS object 1 at offset 0x6315 | 524 bytes |
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