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 such as PDF_JAVASCRIPT and PDF_JS. The PDF_METADATA_EVAL_STAGER heuristic indicates that JavaScript is used within the PDF's metadata to decode and execute code. The presence of String.fromCharCode further suggests obfuscation techniques common in malicious PDFs. While no specific URLs or hashes were extracted, the overall pattern points to a downloader or stager mechanism.
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.js20fae1156a5a1c4c88780e509cc53d5ffe7e93e40742e514e72ad22af3d0dd72 |
pdf-javascript-stream | PDF /JS object 1 at offset 0x6181 | 530 bytes |
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