MALICIOUS
186
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF document exhibits characteristics of a phishing or SEO spam campaign, indicated by the presence of a large number of external links, many hosted on disposable domains. The ML classifier and ClamAV detection strongly suggest malicious intent, likely related to phishing or distributing further malware. While no scripts were explicitly extracted, the PDF structure and numerous external links point towards an attempt to redirect users to malicious content.
Machine Learning
- Nyx PDF Classifier malicious score 0.9996
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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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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External URI info PDF_URIPDF contains an external URL action
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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://xajibur.ru/award?keyword=the+lost+city+of+atlantis+book+pdf PDF link annotation
- https://legawugo.weebly.com/uploads/1/3/4/5/134509979/ronabedatidu.pdfIn PDF document text
- http://leledup.mypressonline.com/aqueous_humor_dynamics.pdfIn PDF document text
- https://pirowefe.weebly.com/uploads/1/3/4/4/134444143/4219758.pdfIn PDF document text
- https://midezotadodagof.weebly.com/uploads/1/3/5/3/135326840/naxutaze.pdfIn PDF document text
- http://difozoxezepi.getenjoyment.net/advertencia_miranda.pdfIn PDF document text
- https://nidexopike.weebly.com/uploads/1/3/1/4/131407316/nunigulifevu-vefukutusu.pdfIn PDF document text
- https://rebazizezasij.weebly.com/uploads/1/3/4/5/134586802/sebovevagirazekum.pdfIn PDF document text
- https://pabidiwamudobav.weebly.com/uploads/1/3/5/2/135299897/3650766.pdfIn PDF document text
- https://sagetiruguw.weebly.com/uploads/1/3/0/8/130814856/27ffc4b745091.pdfIn PDF document text
- http://xupulakikovuxo.mypressonline.com/spiderman_colouring_pages.pdfIn PDF document text
- https://zafeponatamixuk.weebly.com/uploads/1/3/4/3/134396017/3ead12dc.pdfIn PDF document text
- http://mateguwokalidub.getenjoyment.net/budgeting_in_project_management.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/wiremeresegikon/7350135378.pdfIn PDF document text
- https://d872ce2a-2baf-4032-ab86-ab75b2f66d52.filesusr.com/ugd/338562_e45299de0d354f279a1f8416f065f70f.pdf?index=trueIn PDF document text
- https://uploads.strikinglycdn.com/files/930a3b3f-779d-4fea-b107-e6d265190e5b/how_does_stephen_hawking_talking_machine_work.pdfIn PDF document text
- https://6a24fdd2-d4a5-4c4b-882b-0f3115751bcf.filesusr.com/ugd/04e6f9_97cf9988857d435f98e6fd4a70d65fc0.pdf?index=trueIn PDF document text
- https://3745348a-78a0-42d7-8ff4-af2b45bf5faf.filesusr.com/ugd/02631b_bdfe69dd09f64d1fb57e82d91ff4c94b.pdf?index=trueIn PDF document text
- http://gurabagoderes.atwebpages.com/57402715588.pdfIn PDF document text
- https://s3.amazonaws.com/vudivuzakal/vademapajobesam.pdfIn PDF document text
- https://e06e8306-d71e-4c92-aa1b-e8c52eeb44cb.filesusr.com/ugd/bc4951_a334ed595851411c9378169e803d1ee1.pdf?index=trueIn PDF document text
- https://uploads.strikinglycdn.com/files/b48b1d20-5353-4006-ae95-0686b7b93c4a/ktm_990_smr_owners_manual.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_off0001eec5.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x1EEC5 | 5400 bytes |
SHA-256: 1dde055e2e4e57ac097641e0d86a4be2a5fd742dbf99f3cd282e1f37c5225278 |
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font_01_sfnt_off00020129.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x20129 | 17148 bytes |
SHA-256: e806e4218670913253758cf7ce29a608ca6c9c9a34d24ef8c7c5d6d12f4d7e27 |
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