MALICIOUS
94
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
This PDF document was flagged as malicious by an ML classifier. The file routes users through malicious redirector infrastructure. Specific URLs and indicators for this sample are listed in the indicators section.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 3
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PDF links to known malicious redirector infrastructure critical PDF_MALICIOUS_REDIRECTOR_LINKPDF contains a clickable URI to redirector infrastructure used by a known malicious PDF SEO/adware delivery campaign. These documents typically rely on user interaction and redirect chains rather than a PDF parser vulnerability.
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Object number defined twice with different bodies info PDF_DUPLICATE_OBJ_BODY_INCREMENTALThe same indirect object (N G) is defined more than once with different body bytes. First-wins and last-wins readers will resolve different content, which is a parser-confusion shape used by targeted PDFs. Body-only differences are common in benign incremental updates, so severity is raised only when the duplicate carries active content.
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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 https://ttraff.cc/123?keyword=analysis+for+financial+management+pdf+higgins In PDF document text
- https://vuxozajuje.weebly.com/uploads/1/3/1/3/131379873/dozafawegikuxoto.pdfIn PDF document text
- https://lewutiresapilo.weebly.com/uploads/1/3/4/5/134594640/2328871.pdfIn PDF document text
- https://genifefesabido.weebly.com/uploads/1/3/3/9/133999330/lopar-pixumipumivip.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://cdn.shopify.com/s/files/1/0509/2999/1840/files/dying_to_be_me.pdfIn PDF document text
- https://s3.amazonaws.com/kofabube/man_on_the_street_interviews_microphone.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/de95eabc-50a4-4005-8bd3-15950a1c1962/saving_francesca_summary.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/e931a89c-897c-4fd0-ad46-7dbf233c5a28/vintage_victorian_style_wedding_dresses.pdfIn PDF document text
- https://s3.amazonaws.com/memul/edit_documents_linux.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/a42d2d7b-e061-4d52-a303-e560a6a624a7/5464728318.pdfIn PDF document text
- https://s3.amazonaws.com/miwolezedubujoz/basic_statistical_analysis_richard_c_sprinthall.pdfIn PDF document text
- http://www.w3.org/1999/02/22-rdf-syntax-ns#In PDF document text
- http://purl.org/dc/elements/1.1/In PDF document text
- http://ns.adobe.com/pdf/1.3/In PDF document text
- http://ns.adobe.com/xap/1.0/In PDF document text
- http://ns.adobe.com/xap/1.0/mm/In PDF document text
- http://ns.adobe.com/xap/1.0/rights/In PDF document text
- http://scripts.sil.org/OFLIn PDF document text
Extracted artifacts 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off0000cbbb.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xCBBB | 3072 bytes |
SHA-256: 7f54252e86245c8826fafba8de6a38072568bfa1d4b6d30dc85d754cafb59d71 |
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font_01_sfnt_off0000d6bb.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xD6BB | 5660 bytes |
SHA-256: d44a11024890efd8dea00f688d1616d631d8324da8660bb7bb64ddaf384decf7 |
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font_02_sfnt_off0000e9de.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xE9DE | 13528 bytes |
SHA-256: 8a163c4b22686bb4c39a5c649a85dcbc63bb1af7fb3dea321f026e0236cc6c74 |
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