MALICIOUS
186
Risk Score
Malware Insights
MITRE ATT&CK
T1059.001 PowerShell
T1204.002 Malicious File
This PDF file was flagged as malicious by multiple engines, including a high-confidence ML classifier and ClamAV. It contains embedded JavaScript and an embedded PDF, indicating a multi-stage attack. The embedded JavaScript is likely responsible for downloading and executing a secondary payload, a common technique for malware delivery. The presence of XFA forms and potential PDF vulnerabilities further supports this attack pattern.
Machine Learning
- Nyx PDF Classifier malicious score 0.9999
Heuristics 8
-
Secondary embedded PDF body has suspicious static findings critical POLYGLOT_CHILD_PDF_STATIC_TRIAGEA valid PDF body was found at a nonzero offset inside another container and its carved contents matched PDF exploit or lure heuristics. This catches polyglots where the top-level magic routes to ZIP/OLE while a PDF reader or downstream parser opens the hidden PDF payload.
-
ClamAV: Pdf.Exploit.Agent-35907 critical CLAMAV_DETECTIONClamAV detected this file as malware: Pdf.Exploit.Agent-35907
-
JavaScript action low PDF_JAVASCRIPTPDF contains a /JavaScript action. Generic JavaScript is common in benign forms; specific dangerous APIs are scored by separate rules.
-
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.
-
Embedded file low PDF_EMBEDDEDPDF embeds a file attachment — could carry an executable or another weaponised document as a nested payload
-
XFA form low PDF_XFAPDF uses XML Forms Architecture — can contain script logic
-
PDF differential parser failed info PDF_DIFFERENTIAL_PARSE_FAILEDThe cross-check parser (pdfminer.six) failed on this file: PDF differential parser failed: PermissionError. Static heuristics still ran and any of their findings above are valid; only the differential cross-check signal is missing.
-
Embedded URL info EMBEDDED_URLOne or more URLs were extracted from the document. The URL itself is not a detection — see the per-URL labels for which channel (macro, JS, link annotation, document body, ...) reached each URL.URL http://www.w3.org/1999/xhtml
- http://www.xfa.org/schema/xfa-data/1.0/
- http://www.w3.org/1999/02/22-rdf-syntax-ns#
- http://ns.adobe.com/iX/1.0/
- http://ns.adobe.com/pdf/1.3/
- http://ns.adobe.com/pdfx/1.3/
- http://ns.adobe.com/photoshop/1.0/
- http://ns.adobe.com/xap/1.0/
- http://ns.adobe.com/xap/1.0/mm/
- http://purl.org/dc/elements/1.1/
Extracted artifacts 2
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
javascript_obj0026_000.js2e20dfacd3a7e81007f00bb8ab4969f60d05cb22ba11dbec257cc8c492cab443 |
pdf-javascript-stream | PDF /JS object 26 at offset 0xA9E | 1152 bytes |
polyglot_child_pdf_off000312f0.pdf6954f221ea4c7e7cec4eded810e35f3e5c89576c60117e9b38f34bd351b41718 |
polyglot-child-pdf | Secondary PDF body inside pdf container at offset 0x312F0 | 33263 bytes |
Open this report in the interactive analyzer, or submit your own file for analysis.