MALICIOUS
186
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
This PDF file was detected as malicious by ClamAV and an ML classifier, indicating a high likelihood of malicious intent. It contains a large number of external links, many hosted on disposable domains, suggesting a link farm designed to redirect users to potentially harmful content. The primary malicious URL identified is https://midufefew.ru/strik?utm_term=speed+queen+washing+machine, which is likely used for phishing or malware distribution.
Machine Learning
- Nyx PDF Classifier malicious score 0.9991
Heuristics 6
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ClamAV: Pdf.Phishing.Trojan-d2528dad23a95d95-d2528dad23a95d95-10044376-0 critical CLAMAV_DETECTIONClamAV detected this file as malware: Pdf.Phishing.Trojan-d2528dad23a95d95-d2528dad23a95d95-10044376-0
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Small PDF contains mass external PDF link farm critical PDF_SEO_LINK_FARMSmall PDF contains many clickable external PDF links, mostly clustered on one host. This matches generated SEO/link-farm PDF carriers used to route users into malicious or unwanted-software delivery chains, rather than a normal document citation pattern.
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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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External URI info PDF_URIPDF contains an external URL action
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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://midufefew.ru/strik?utm_term=speed+queen+washing+machine PDF link annotation
- https://cdn.sqhk.co/zujubokave/jjjaoSs/sajesuwaxugenokabor.pdfIn PDF document text
- https://cdn.sqhk.co/xuzalolotagi/ZjajeGa/88027222799.pdfIn PDF document text
- https://cdn.sqhk.co/sozaxejiv/W0wjjia/lorozon.pdfIn PDF document text
- https://xozipirun.weebly.com/uploads/1/3/5/3/135324749/zotujolefizebem.pdfIn PDF document text
- https://cdn.sqhk.co/miwavilusaji/jiWjgia/waruzoduxeduki.pdfIn PDF document text
- https://cdn.sqhk.co/noxivudeva/LjwvOjh/ninja_raiden_revenge_hack_version_download.pdfIn PDF document text
- https://dodezugufiz.weebly.com/uploads/1/3/5/3/135331092/karanopudimiwa.pdfIn PDF document text
- https://cdn.sqhk.co/dapalufited/geAgdjc/reritegajatog.pdfIn PDF document text
- https://nigelatadumave.weebly.com/uploads/1/3/4/6/134615228/9170521.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- http://www.daltonmaag.com/In PDF document text
- https://1ac5d900-0c69-4f12-8b1d-4e209472b8d2.filesusr.com/ugd/828753_efd0eee965d14f0f97b288afe4cd93d3.pdf?index=trueIn PDF document text
- https://s3.amazonaws.com/vexosafugunu/74038870072.pdfIn PDF document text
- https://dab7fb03-f2af-4a8e-9cb9-31de623bedb3.filesusr.com/ugd/58b596_9932390d6c2c4290a4af7bb203db5109.pdf?index=trueIn PDF document text
- http://zobatokuvanoz.epizy.com/weber_smokey_mountain_18_parts_list.pdfIn PDF document text
- https://s3.amazonaws.com/juliziwojatige/68305537438.pdfIn PDF document text
- https://s3.amazonaws.com/jigezilor/where_to_drop_off_old_clothes_surrey_bc.pdfIn PDF document text
- https://7c3dd69e-6649-485e-b385-36acc2971cd6.filesusr.com/ugd/cf9ff1_bd2a536559c04e9a9e07e5d08ceefc5c.pdf?index=trueIn PDF document text
- http://zigemevopowab.epizy.com/sample_python_programs.pdfIn PDF document text
- https://s3.amazonaws.com/wolina/67742556270.pdfIn PDF document text
- https://bf23b77b-49a9-4bef-a898-a03cfb94aefa.filesusr.com/ugd/134172_1abe65594dd44e7d9947431fb0f601de.pdf?index=trueIn PDF document text
- https://s3.amazonaws.com/xefezesebusu/6922148140.pdfIn PDF document text
- https://0c2a99dd-71fd-4a0d-b96f-672cfa785c21.filesusr.com/ugd/515c54_99deafff76854009b45e658261633c38.pdf?index=trueIn PDF document text
- http://wubonaxe.epizy.com/call_upon_the_lord_lyrics.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
- http://dejavu.sourceforge.netIn PDF document text
- http://dejavu.sourceforge.net/wiki/index.php/LicenseIn PDF document text
Extracted artifacts 4
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off000109af.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x109AF | 5372 bytes |
SHA-256: d9885aedb0676bdf1e366455a9d3020e85783ea42c294f8ea7e0f6870fe1c5ba |
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font_01_sfnt_off00011bc6.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x11BC6 | 10840 bytes |
SHA-256: 662ded47781df8a32a81fa4879e0fcb3de1d66a3ab845056adf2d54990b587f9 |
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font_02_sfnt_off000140c4.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x140C4 | 16148 bytes |
SHA-256: dbe1f6873dfbc63a557840fa26764ed1e24daf10180a919a5f50e881975b6f06 |
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font_03_sfnt_off000155d3.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x155D3 | 4324 bytes |
SHA-256: 1158d95dac44631f497756703988ba3645251422e7ff0015d3fca430225e7c3e |
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