MALICIOUS
184
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
This PDF file is identified as malicious by multiple heuristics and a machine learning classifier, including a critical alert for linking to known malicious redirector infrastructure. The embedded links, such as 'https://yafferge.ru/123?utm_term=unitedhealthcare+ms+can+phone+number', are designed to lead users to potentially harmful sites. The document's structure and the nature of the links suggest a phishing or scam attempt, likely using a spearphishing attachment vector.
Machine Learning
- Nyx PDF Classifier malicious score 0.9998
Heuristics 5
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ClamAV: Pdf.Phishing.Trojan-d2568dad23a94d95-d2568dad23a94d95-10044375-0 critical CLAMAV_DETECTIONClamAV detected this file as malware: Pdf.Phishing.Trojan-d2568dad23a94d95-d2568dad23a94d95-10044375-0
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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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Small PDF is a non-clustered link farm on disposable hosting medium PDF_SEO_DISPOSABLE_LINK_FARMSmall PDF contains many clickable external PDF links spread thin across many distinct hosts (no single dominant host), corroborated by a utm_term SEO-redirector link and/or links parked on free/disposable content hosts. This is the 'free document/template' SEO phishing PDF family, which ranks for search queries and routes users into payload/redirect chains, rather than a normal document citation pattern. The PDF itself carries no exploit — the risk is the linked destinations.
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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://yafferge.ru/123?utm_term=unitedhealthcare+ms+can+phone+number In PDF document text
- https://cdn-cms.f-static.net/uploads/4405641/normal_601b53cff1ef2.pdfIn PDF document text
- https://static.s123-cdn-static.com/uploads/4392193/normal_5fcd1338c46ee.pdfIn PDF document text
- http://gigabaru.22web.org/ahrq_sepsis_guidelines.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4451363/normal_6014ecaf956ba.pdfIn PDF document text
- https://static.s123-cdn-static.com/uploads/4369164/normal_5fc9242412d97.pdfIn PDF document text
- http://tapikujub.22web.org/dadojukapop.pdfIn PDF document text
- http://famozosivupiwij.sportsontheweb.net/41511632551.pdfIn PDF document text
- http://opensalle.xyz/gapirekai205a.pdfIn PDF document text
- https://static.s123-cdn-static.com/uploads/4481420/normal_5fc86a8094729.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4489730/normal_6024f557a9dc3.pdfIn PDF document text
- http://vinograd.io/la_riqueza_de_las_naciones_resumen_cortononcd.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- http://kipixuge.epizy.com/algorithms_and_data_structures_slides.pdfIn PDF document text
- http://siwojanapav.epizy.com/bor_ekom_by_mercy_chinwo_lyrics.pdfIn PDF document text
- https://s3.amazonaws.com/fajeloninesitel/4822653912.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 2
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off0000d590.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xD590 | 5444 bytes |
SHA-256: 03415dcc5a697c93f82549569106c22b6a7d34533e8384a92e671d542cb70138 |
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font_01_sfnt_off0000e7e0.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xE7E0 | 10028 bytes |
SHA-256: b88d11ca40d8812aed9883bccc39a25db82e65015427b1941c02f6b15446d020 |
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