MALICIOUS
186
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1204.002 Malicious Link
This PDF file was identified as malicious by ClamAV and an ML classifier, indicating a high probability of malicious intent. The heuristics reveal it functions as a link farm, containing numerous external links to other PDFs hosted on disposable domains. The primary URL, 'https://seumenha.ru/123?utm_term=artificial+intelligence+for+automotive+applications+pdf', suggests a lure related to artificial intelligence, likely to trick users into clicking through to malicious content.
Machine Learning
- Nyx PDF Classifier malicious score 0.9998
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://seumenha.ru/123?utm_term=artificial+intelligence+for+automotive+applications+pdf PDF link annotation
- https://gegoviboz.weebly.com/uploads/1/3/4/8/134876631/7724278.pdfIn PDF document text
- https://gugeropufil.weebly.com/uploads/1/3/0/8/130874104/1081117.pdfIn PDF document text
- https://cdn.sqhk.co/sowotewope/gneYKFL/49087056734.pdfIn PDF document text
- https://sodomolu.weebly.com/uploads/1/3/5/3/135398587/cd5424f62dd.pdfIn PDF document text
- https://cdn.sqhk.co/lamiwifa/ihgdPgi/cyclebar_midtown_charlotte.pdfIn PDF document text
- https://xezatitewifesel.weebly.com/uploads/1/3/4/3/134393938/zegukasujeni.pdfIn PDF document text
- https://ranemexamegen.weebly.com/uploads/1/3/4/4/134440137/berinajekokujoku.pdfIn PDF document text
- https://zatitobeme.weebly.com/uploads/1/3/4/0/134097178/9696856.pdfIn PDF document text
- http://sotarebesowula.medianewsonline.com/occupational_health_and_safety_act_poster.pdfIn PDF document text
- https://cdn.sqhk.co/matikefateri/hhMhgjj/tapupinisosijimixomatax.pdfIn PDF document text
- https://cdn.sqhk.co/wosepimi/sggqf4u/marvel_comics_store_nyc.pdfIn PDF document text
- https://rozolabo.weebly.com/uploads/1/3/0/8/130814594/5054501.pdfIn PDF document text
- http://muzesumulel.getenjoyment.net/60250095541.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://87b84290-c0b3-4c73-97a1-3d59c64c3f69.filesusr.com/ugd/c638b7_f48810d89df943c6970df6fbeb116c4e.pdf?index=trueIn PDF document text
- https://a5a8f6e1-24ae-425c-880d-6f4079e3c376.filesusr.com/ugd/035627_c73e74ac13e24e0b8bba8bdf86e27375.pdf?index=trueIn PDF document text
- https://5926284e-b61c-4ed0-95e5-27b9feedd2c3.filesusr.com/ugd/50c35f_bc5f4a54b69b43df82dc96adf0cf5165.pdf?index=trueIn PDF document text
- https://b70645e9-42d7-44c6-80f2-f165c8819e8d.filesusr.com/ugd/3f1130_ef8deccae1254b03b530d9ba8959b4cc.pdf?index=trueIn 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_off0000f41d.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xF41D | 5524 bytes |
SHA-256: 3c5d7feb99d7a2fa87fa98c886e046f2f933f43a2da32c0ad044efd1f63b2bec |
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font_01_sfnt_off000106d7.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x106D7 | 11136 bytes |
SHA-256: 068c9ffaaa60d2b865e38e07b8ed7b3bee766ca2238eaafa149572bb913abdfa |
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