MALICIOUS
294
Risk Score
Machine Learning
- Nyx PDF Classifier malicious score 0.9996
Heuristics 7
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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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Image lure linking to an SEO redirector (free-download phishing) high PDF_SEO_UTM_REDIRECTOR_LINKPDF embeds an image with little or no body text and a clickable link to a multi-word utm_term / FeedBurner-proxied SEO redirector — the 'free ebook / solution-manual / document download' phishing family that ranks for natural-language search queries and routes the user into a payload/redirect chain. The PDF carries no exploit; the risk is the linked destination. Flagged structurally (image lure + SEO redirector) so it does not depend on a ClamAV/ML signature, and regardless of how many filler text pages the lure carries.
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Travel-support phone-number stuffing scam high SE_TRAVEL_SUPPORT_PHONE_SCAMDocument repeats phone numbers in airline/travel/refund/support language, often across multiple regional phrasings. This matches SEO/support-scam PDFs that impersonate airlines or travel brands and route users to attacker-controlled call centers rather than a normal travel document.
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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://s3.amazonaws.com/fotojipifuzitul/saruzukisaraw.pdf In PDF document text
- https://s3.amazonaws.com/netinuwa/jack_kerouac_on_the_road_new_york_times_review.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4487618/normal_602ba91bb7e0f.pdfIn PDF document text
- https://duxetaxegijojem.weebly.com/uploads/1/3/4/8/134870405/5570a9263f0d9.pdfIn PDF document text
- https://s3.amazonaws.com/zarusegibitumet/99068722490.pdfIn PDF document text
- https://dovenokitumenu.weebly.com/uploads/1/3/1/4/131482991/rawigajivug.pdfIn PDF document text
- https://s3.amazonaws.com/banula/bojogipoxesovarakesow.pdfIn PDF document text
- https://sazejibapox.weebly.com/uploads/1/3/4/8/134863873/aa614d144dcdc4.pdfIn PDF document text
- https://busemuvida.weebly.com/uploads/1/3/4/6/134643921/2259721.pdfIn PDF document text
- https://josuriwomevopi.weebly.com/uploads/1/3/4/7/134769094/3190720.pdfIn PDF document text
- https://s3.amazonaws.com/xovajukoxin/marcha_antalgica.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4405414/normal_600cadb9f0a29.pdfIn PDF document text
- https://s3.amazonaws.com/divexikav/melomi.pdfIn PDF document text
- https://dafemum.ru/strik?utm_term=comment+faire+une+cl%25C3%25A9+usb+bootable+windows+10In PDF document text
- https://static.s123-cdn-static.com/uploads/4409417/normal_5fccbbd7ee822.pdfIn PDF document text
- http://www.ascendercorp.com/In extracted file (font_00_sfnt_off0000ebcb.bin)
- http://www.ascendercorp.com/typedesigners.htmlIn extracted file (font_00_sfnt_off0000ebcb.bin)
- https://uploads.strikinglycdn.com/files/69a42650-e125-49b9-a8f2-de3de6d9eb5e/verbos_en_ingles_con_su_pronunciacion_y_traduccion.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/abaa89ca-7e19-48de-8177-63972703085f/98455160971.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/54ad2942-48c8-4ad5-929c-2a48b5f9e997/pedibo.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/6b08c3ba-6300-4bca-9de7-d7b62b8aa817/5748896447.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/946c8483-5600-4288-87e7-bd5cf39fe958/dunkin_donuts_frozen_matcha_latte_recipe.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 extracted file (font_00_sfnt_off0000ebcb.bin)
- http://dejavu.sourceforge.netIn extracted file (font_03_sfnt_off000132d3.bin)
- http://dejavu.sourceforge.net/wiki/index.php/LicenseIn extracted file (font_03_sfnt_off000132d3.bin)
Extracted artifacts 4
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off0000ebcb.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xEBCB | 5640 bytes |
SHA-256: c4c892e33cdbc09e509123623594fa2988c52103ac911506c7f6697b915333ad |
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font_01_sfnt_off0000fea9.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xFEA9 | 3052 bytes |
SHA-256: a582e43a2d53a6835fd7a759efdb9d21e24dfc7b805af63a5a47d8ecac7ef428 |
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font_02_sfnt_off00010b54.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x10B54 | 12308 bytes |
SHA-256: e3639e9f0fc2c21f32b71c75b1d951381db3d6d5dd8578ef0141a70ec9b62959 |
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font_03_sfnt_off000132d3.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x132D3 | 16200 bytes |
SHA-256: 63ac617b312b8b2e9dc62805616434e1fc31c9915e291c181bd878c78d080d3c |
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