MALICIOUS
184
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
This PDF document was flagged by multiple heuristics and a machine learning classifier as malicious, specifically for containing links to known malicious redirectors. The embedded links, such as 'https://ggtraff.ru/123?utm_term=give+me+that+old+time+religion+pete+seeger', are designed to lead users to harmful websites. No scripts were extracted, but the PDF structure itself facilitates the malicious redirection.
Machine Learning
- Nyx PDF Classifier malicious score 0.9997
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://ggtraff.ru/123?utm_term=give+me+that+old+time+religion+pete+seeger In PDF document text
- https://kawewadibuporak.weebly.com/uploads/1/3/4/3/134371142/b6b05.pdfIn PDF document text
- https://bubunixijasebed.weebly.com/uploads/1/3/1/4/131407035/f286102d84bc8.pdfIn PDF document text
- https://xinozujo.weebly.com/uploads/1/3/0/8/130874257/zadovijo.pdfIn PDF document text
- https://wewejodoje.weebly.com/uploads/1/3/4/6/134685686/febolug.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4370302/normal_5f890d76bf00b.pdfIn PDF document text
- https://pidilamobojuri.weebly.com/uploads/1/3/5/3/135310388/zanivu_gonorofo_rexiwomovo.pdfIn PDF document text
- https://cdn.sqhk.co/fufejapopunu/fSOggii/tetaxawawumawe.pdfIn PDF document text
- https://bolojowugupi.weebly.com/uploads/1/3/4/8/134886087/nagewuwerizigom-jopabenadirif.pdfIn PDF document text
- https://cdn.sqhk.co/wowedofu/1Agc5FB/jubamoborurekewasinezedak.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://uploads.strikinglycdn.com/files/1cc2f16a-4685-4777-ad86-0fca0e18b83e/archer_leveling_guide_ffxiv.pdfIn PDF document text
- https://s3.amazonaws.com/serogajugomiji/11736096304.pdfIn PDF document text
- https://s3.amazonaws.com/wajufifenoxuj/fetomugomuzowowoxinena.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_off0000e3e6.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xE3E6 | 5252 bytes |
SHA-256: a53c220fee09c0e3d547bce1d29e33c2d472fa9e6591f4262d8b227e7a34bb12 |
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font_01_sfnt_off0000f5a1.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xF5A1 | 11380 bytes |
SHA-256: 32129e5ecabc5911b3fd32e70e1119d1a68e958c4bf6d81a616cb1cdf5e3dc04 |
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font_02_sfnt_off00011bd4.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x11BD4 | 4324 bytes |
SHA-256: cd94ef65598b1866d0653cdd88243d989fd81359c0e770c2d3a4858f1c2f6d34 |
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