MALICIOUS
106
Risk Score
Malware Insights
MITRE ATT&CK
T1204.002 Malicious File: Malicious File
The PDF sample was flagged as malicious by a machine learning classifier and ClamAV, with the latter identifying it as Pdf.Exploit.Pdfka-9. Heuristics indicate the presence of embedded JavaScript, which is a common technique for exploiting PDF vulnerabilities to download and execute further malicious content. No document body or specific script content was available for analysis, but the combination of heuristics and exploit detection strongly suggests a malicious PDF dropper.
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.js0260c15b69c20b47fd7b321dad7713a442c89159ccb2421c11231173bf6c22d4 |
pdf-javascript-stream | PDF /JS object 76 at offset 0x369 | 11581 bytes |
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Detection
ClamAV:
Pdf.Exploit.Pdfka-9
Obfuscation or payload:
unlikely
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