MALICIOUS
184
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
This PDF file was identified as malicious by multiple heuristics and an ML classifier, indicating it likely serves as a phishing lure or malware distribution vector. It contains numerous embedded links, including one pointing to known malicious redirector infrastructure at `https://gettraff.ru/123?utm_term=passive+voice+exercises+pdf+all+things+grammar`. The document body is heavily obfuscated, but the presence of embedded links and the heuristic firings strongly suggest an attempt to redirect users to harmful sites.
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://gettraff.ru/123?utm_term=passive+voice+exercises+pdf+all+things+grammar In PDF document text
- https://site-1168444.mozfiles.com/files/1168444/chore_schedule_printable_template.pdfIn PDF document text
- https://site-1171882.mozfiles.com/files/1171882/mountain_bike_shoes_flats.pdfIn PDF document text
- https://site-1178487.mozfiles.com/files/1178487/slope_intercept_form_with_2_points_calculator.pdfIn PDF document text
- https://site-1238560.mozfiles.com/files/1238560/coffee_supreme_brew_guide.pdfIn PDF document text
- https://site-1246077.mozfiles.com/files/1246077/case_report_chondroid_lipoma.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4393908/normal_5f926250ccbb4.pdfIn PDF document text
- https://duxoberadu.weebly.com/uploads/1/3/4/7/134718286/mifosat.pdfIn PDF document text
- https://site-1168096.mozfiles.com/files/1168096/minecraft_mods_1__12_2_portal_gun.pdfIn PDF document text
- https://site-1178570.mozfiles.com/files/1178570/play_store_free_game.pdfIn PDF document text
- https://site-1174047.mozfiles.com/files/1174047/bizalodimebikaluwu.pdfIn PDF document text
- https://site-1167951.mozfiles.com/files/1167951/kung_fu_zion.pdfIn PDF document text
- https://site-1168038.mozfiles.com/files/1168038/wevodetujuzadifipin.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4426407/normal_5fa276d998a57.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/vasofirida/demejakopitemuni.pdfIn PDF document text
- https://s3.amazonaws.com/rirusozo/3ds_emulator_for_android_2019.pdfIn PDF document text
- https://s3.amazonaws.com/voxulija/61066797610.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_off0000d22f.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xD22F | 5696 bytes |
SHA-256: 996ef1261d4db68bbbb8760f50c11a6904e759d89a4fe3fc4a28f5d52c4a1d27 |
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font_01_sfnt_off0000e57b.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xE57B | 10856 bytes |
SHA-256: cadcfa01622fb262529ab7d75370a1d595d6ec1149ec67d3b44bec81d880bac3 |
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