MALICIOUS
94
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF contains a heuristic firing for a malicious redirector link pointing to 'traffmen.ru'. The document body, though heavily obfuscated, contains text that appears to be a lure related to 'happy bedtime stories'. The ML classifier also strongly indicated maliciousness. No scripts were extracted, but the presence of a malicious URL is a high-confidence indicator of a phishing or malware distribution attempt.
Machine Learning
- Nyx PDF Classifier malicious score 0.9997
Heuristics 3
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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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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://traffmen.ru/123?utm_term=happy+bedtime+stories+for+adults In PDF document text
- https://cdn-cms.f-static.net/uploads/4416501/normal_5fe6d0bd0b5b0.pdfIn PDF document text
- https://static.s123-cdn-static.com/uploads/4408481/normal_5fddfabebfbae.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/bawalidamovidud/17967987888.pdfIn PDF document text
- https://s3.amazonaws.com/bisazabe/learn_to_speak_arabic_language.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/898f5e47-c43a-4dda-959d-cad922b3e659/lifetime_fitness_las_vegas_locations.pdfIn PDF document text
- https://s3.amazonaws.com/vukusa/wamobupu.pdfIn PDF document text
- https://s3.amazonaws.com/zuniverijesud/biological_oceanography_textbook.pdfIn PDF document text
- https://s3.amazonaws.com/jinotugiwomo/petrologi_batuan_sedimen.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/b85c658b-ec46-4b4e-8490-b679dd356779/55844407761.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/5bfa83db-3b13-49fc-9a32-8f67d0a8ab7e/como_jugar_clash_royale_en_pc_2020.pdfIn PDF document text
- https://s3.amazonaws.com/regegozumekoza/orthographic_drawing.pdfIn PDF document text
- https://s3.amazonaws.com/sinamozagemoger/58813916714.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_off00012f16.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x12F16 | 5392 bytes |
SHA-256: 878ac0e635c15629e24409752e92393fa5aa395109a5860d9f356a04fe4b6295 |
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font_01_sfnt_off00014152.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x14152 | 11080 bytes |
SHA-256: 6f2a2cd58671d679c0b8f06927754a554881e45effac10f772e6a7c1069c13a4 |
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