MALICIOUS
94
Risk Score
Malware Insights
MITRE ATT&CK
T1059.001 PowerShell
T1204.002 Malicious File
The PDF file contains embedded JavaScript, identified by heuristics like PDF_JAVASCRIPT and PDF_JS. The high-confidence heuristic PDF_METADATA_EVAL_STAGER indicates that JavaScript within the PDF's metadata is used as a stager. This stager likely decodes and executes further malicious code, as suggested by the ML classifier's high confidence. The presence of 'String.fromCharCode' in both the metadata and the document body further supports the use of obfuscated JavaScript for payload delivery. No specific family could be identified.
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.js7551987e5dfc3b6b29bd7b42a4608401b61ccfcfd78f3a0e8494495639aba2f5 |
pdf-javascript-stream | PDF /JS object 1 at offset 0x627C | 534 bytes |
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