MALICIOUS
106
Risk Score
Malware Insights
MITRE ATT&CK
T1204.002 Malicious File: User Execution
The PDF file was flagged by a machine learning classifier and ClamAV as malicious, specifically detecting an embedded JavaScript stream. This JavaScript is likely responsible for exploiting a vulnerability within the PDF reader to execute arbitrary code, a common technique for downloading and running further malicious content. The high ML score and ClamAV detection strongly indicate a malicious intent, likely related to the Pdf.Exploit.Pdfka-9 family.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 3
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ClamAV detection on extracted artifact critical EXTRACTED_FILE_CLAMAVClamAV flagged at least one file extracted from inside this sample. Even when the wrapping document carries no AV detection of its own, a hit on the carved artifact is a strong indicator the sample is a delivery vehicle.
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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.
Extracted artifacts 1
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
javascript_obj0076_000.js6a1110d5a5d30633811c8bc854c6d106b837d00d6aa9d7567bc77c5a5d1fa079 |
pdf-javascript-stream | PDF /JS object 76 at offset 0x369 | 11900 bytes |
|
Detection
ClamAV:
Pdf.Exploit.Pdfka-9
Obfuscation or payload:
unlikely
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