MALICIOUS
244
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
T1203 Exploitation for Client Execution
This PDF file is identified as malicious by multiple heuristics and a machine learning classifier, specifically flagged for containing malicious redirector links and acting as a link farm. The embedded URLs, such as 'https://gettraff.ru/aws?utm_term=facts+about+the+human+body+pdf', are associated with known malicious infrastructure. The document's structure and content suggest an attempt to deceive users into visiting these sites, likely for phishing or malware distribution.
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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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 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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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/aws?utm_term=facts+about+the+human+body+pdf In PDF document text
- https://bexulijariva.weebly.com/uploads/1/3/4/8/134885506/bosatikipage.pdfIn PDF document text
- https://gotugutulado.weebly.com/uploads/1/3/4/6/134648793/sarevuzi-tubotake-kaxubasod.pdfIn PDF document text
- https://pixogujoxekame.weebly.com/uploads/1/3/4/7/134715770/pakojomovavejejadasu.pdfIn PDF document text
- https://sepenunaxob.weebly.com/uploads/1/3/0/7/130776074/dd15211145cf3.pdfIn PDF document text
- https://besuxape.weebly.com/uploads/1/3/4/3/134374749/debiwu.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://uploads.strikinglycdn.com/files/9d185e71-3a3e-4d50-a2aa-672ff0260055/filopekaxapaputusedo.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/10401ca9-dc16-4e4a-8a85-f070eafbe5f9/sentinel_64_gun_safe_dimensions.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/2b1bb2fe-110f-468e-b742-9486c7d75857/google_translate_spanish_to_english_low_voice.pdfIn PDF document text
- https://s3.amazonaws.com/farefasejikap/ethical_hacking_tutorial_apkpure.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/e675a1df-48f5-4e03-ba3c-6668727baadc/can_you_download_an_app_on_someones_phones_without_possession_of_there_phone.pdfIn PDF document text
- https://s3.amazonaws.com/sitok/lefafogevomube.pdfIn PDF document text
- https://s3.amazonaws.com/viwoxuz/92141144792.pdfIn PDF document text
- https://static1.squarespace.com/static/5fc5933e3dfdd95b60f4df7d/t/5fc6eff11d106d256bb552d3/1606873074518/wusamedagetifatugikovoze.pdfIn PDF document text
- https://s3.amazonaws.com/wujapu/zofusa.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/e872e39d-7f65-40fb-b309-a92c0b2167e9/sample_letter_of_financial_support_for_visitor_visa_application_canada.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_off0000d4b3.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xD4B3 | 5464 bytes |
SHA-256: b493ffa48fff25d0a5a7bf4c06a88630eafd7145e5d8b4293027c1b5ad9f5365 |
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font_01_sfnt_off0000e72c.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xE72C | 10604 bytes |
SHA-256: 15f525d4fe173cea8f2eed09a6a1b351e63728a0bb1e9f515757767de990b5f5 |
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