Malware Insights
The PDF file contains embedded JavaScript, indicated by the PDF_JAVASCRIPT and PDF_JS heuristics. A high-confidence heuristic, PDF_EVAL, specifically flags the use of eval(), which is commonly used to deobfuscate and execute malicious code. The ML classifier also strongly indicates maliciousness. The primary attack pattern involves leveraging JavaScript within the PDF to download and execute further malicious content. No specific family could be identified, and the obfuscated nature of the script prevents a more detailed analysis of its exact actions or IOCs beyond the use of eval().
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 4
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eval() call high PDF_EVALeval() found — commonly used for obfuscated exploit execution (matched inside decoded stream)
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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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Suspicious extracted artifact info EXTRACTED_FILE_STATIC_TRIAGEOne or more files extracted from inside this sample matched static suspicious-content checks such as script obfuscation, encoded payload blobs, packed data, or execution/download terms.
Extracted artifacts 1
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
javascript_obj0013_001.jsab15c647f51925536e6ceabf048e82e9f795b56bf86a391aa1ab60d5507ea8d2 |
pdf-javascript-stream | PDF /JS object 13 at offset 0x365 | 6387 bytes |
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Detection
ClamAV:
No threats found
Obfuscation or payload:
likely
Carved artifact contains 4 eval/decoder/string-building token(s).
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