MALICIOUS
204
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1204.002 Malicious Link
This PDF document was flagged as malicious by an ML classifier. The file embeds a large number of external links characteristic of an SEO link farm, routes users through malicious redirector infrastructure and uses an image-based lure. Specific URLs and indicators for this sample are listed in the indicators section.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 6
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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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Image-only document with action trigger (screenshot lure) medium PDF_IMAGE_LUREPDF has 1 image(s), only 1 text block(s), carries a click-outward action, and is only 28 KB — typical shape of a phishing lure where a full-page screenshot hides a clickable button that launches or submits to an attacker URL.
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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://traffmen.ru/aws?keyword=hopper+dish+manual In PDF document text
- https://vedabigejiko.weebly.com/uploads/1/3/1/4/131438046/bowemumobifa.pdfIn PDF document text
- https://wenozujilemufo.weebly.com/uploads/1/3/4/4/134456287/9948476.pdfIn PDF document text
- https://suragovitig.weebly.com/uploads/1/3/4/2/134265770/weboladasezewan.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4368249/normal_5f877240c47a8.pdfIn PDF document text
- https://xavoxoxuda.weebly.com/uploads/1/3/1/3/131379246/memokubek.pdfIn PDF document text
- https://xugirudubup.weebly.com/uploads/1/3/4/3/134332480/3447706.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/8b2656c6-2905-4a95-bfbc-6376a9c1e2c7/tizoxezut.pdfIn PDF document text
- https://s3.amazonaws.com/bulikowexunepov/top_slang_words_2020.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/ccc80709-6b61-4bc1-a833-f87ab3908403/87975185852.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_off000039ee.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x39EE | 5160 bytes |
SHA-256: 4d5024093171554c52ff701e97937cc1841e50f84add61d5c507a0f7effac747 |
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font_01_sfnt_off00004b4b.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x4B4B | 8308 bytes |
SHA-256: 52e2bdcc5561d9c3b10a36258fdafd62df65a9fa62be2251534dd5b852c09eb5 |
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