MALICIOUS
186
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF file was flagged by multiple heuristics as a link farm, containing a large number of external URLs pointing to potentially malicious content. The ML classifier and ClamAV also identified it as malicious, specifically a phishing-related trojan. While no scripts were extracted, the sheer volume of external links suggests an attempt to lure users to compromised or malicious websites, likely as part of a phishing campaign.
Machine Learning
- Nyx PDF Classifier malicious score 0.9998
Heuristics 6
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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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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://nipisod.ru/award?keyword=business+model+generation+osterwalder+pdf+deutsch PDF link annotation
- https://cdn.sqhk.co/xamitarerivu/tVMiez2/xuveba.pdfIn PDF document text
- http://about-central.com/75313527200lulb7.pdfIn PDF document text
- http://cosmosqrab.online/real_steel_wrb_champions_mod_apk2xn54.pdfIn PDF document text
- https://cdn.sqhk.co/mugodetutag/j3jMhaH/labimirifeve.pdfIn PDF document text
- https://cdn.sqhk.co/defisepeniba/dSNL57N/kovupefonunadunu.pdfIn PDF document text
- https://cdn.sqhk.co/fofodafexadu/2mlXyh1/that_level_again_2_73.pdfIn PDF document text
- https://cdn.sqhk.co/lizuxutagisu/AcIFjie/neurosis_definicion_psicologia.pdfIn PDF document text
- https://cdn.sqhk.co/jigavozef/gjghN7v/best_box_game_ps4_2018.pdfIn PDF document text
- http://ceter.xyz/giwubopevugefon9gf6.pdfIn PDF document text
- http://help-mediasupport.com/beats_by_dr._dre_-_solo_pro_more_matte_collection_wirelessotgy6.pdfIn PDF document text
- http://copyright-rules-help.com/investigating_osmosis_worksheet_answersssypu.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://s3.amazonaws.com/jutenojamega/introduction_to_chemistry_worksheet_answers.pdfIn PDF document text
- https://1fc3e790-19e1-43b7-bae7-d09a953f51fe.filesusr.com/ugd/2c608b_e3994d75eb884b0ca64edb75b617f76c.pdf?index=trueIn PDF document text
- https://ac263381-fdad-4fda-ae78-6df6d71032d6.filesusr.com/ugd/25c42e_8b4cea08e8b64b55bba91dd869592101.pdf?index=trueIn PDF document text
- https://s3.amazonaws.com/kukupunopedon/blaster_transformers_wikipedia.pdfIn PDF document text
- https://e437b920-fa79-41d5-b67c-0ca059f4e77a.filesusr.com/ugd/d97c10_78e7e2a7ad84478a847cdc4009bd1b96.pdf?index=trueIn PDF document text
- https://d5aacb37-8766-4234-9cc8-c2ec3b911aba.filesusr.com/ugd/1e723b_a0676b52636e408faf409f294bae16bb.pdf?index=trueIn PDF document text
- https://s3.amazonaws.com/nemafu/nice_guidelines_type_2_diabetes_algorithm.pdfIn PDF document text
- https://200c4c3d-185b-4246-b99f-f40cd7065c99.filesusr.com/ugd/3ed902_61d20757aecc4d53a065d596cf4b16a0.pdf?index=trueIn PDF document text
- https://e222b685-7c7f-4cee-b050-218328c89257.filesusr.com/ugd/c0232f_32fe965d0ea4467c992ad2725947507f.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_off0000ee5a.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xEE5A | 5712 bytes |
SHA-256: 8f401f58e86b21cec716ef85a7247eacbfaffce8f755ede43ca4f339d4e449f7 |
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font_01_sfnt_off000101b1.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x101B1 | 12688 bytes |
SHA-256: 1d1e4930d9fce5507e1e3d8d341a30fd7ceb76809c5a95cc827e65a3a3909357 |
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