MALICIOUS
94
Risk Score
Malware Insights
MITRE ATT&CK
T1059.001 PowerShell
The PDF sample contains embedded JavaScript within its metadata, which is a common technique for obfuscating malicious code execution. The heuristics indicate the use of String.fromCharCode and an eval stager, suggesting the script is designed to decode and execute a payload. While the exact payload is not visible, this pattern strongly suggests a downloader or dropper functionality. The ML classifier also confirms the malicious nature of the file.
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.jsaa3e2d75f07781abff14fee77ded5124e0b28ae8311246b15e426b227315c4de |
pdf-javascript-stream | PDF /JS object 1 at offset 0x631A | 520 bytes |
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