MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF contains numerous links designed to appear as legitimate resources, but the primary link redirects to a known malicious redirector. The document body, though heavily obfuscated, contains the malicious URL and appears to be a lure for a free download. The ML classifier strongly indicates maliciousness, and the presence of multiple SEO-optimized PDF links suggests a link farm used for phishing or malware distribution.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 5
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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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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://ttraff.cc/pify?keyword=manuel+pour+apprendre+le+japonais+pdf In PDF document text
- http://files.voicesbubble.us/uploads/1/3/0/8/130813362/xipofutexulasaz.pdfIn PDF document text
- http://kuvofopod.derbyshiredaleswinesociety.org/uploads/1/3/0/7/130739415/wekoga.pdfIn PDF document text
- http://files.cvhs-bands.com/uploads/1/3/0/9/130969364/jipabixegivis-patojujo.pdfIn PDF document text
- http://files.architectureindetail.com/uploads/1/3/1/3/131380995/ronefuk_dotobut.pdfIn PDF document text
- http://pubefafo.brdge.org/uploads/1/3/1/6/131637814/zibuxurozoterun.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- http://www.daltonmaag.com/In PDF document text
- https://cdn.shopify.com/s/files/1/0435/1049/7434/files/amla_plantation_project_report.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/7306/1532/files/37663520035.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/5942/0063/files/english_abbreviation_dictionary.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/0083/7782/files/4371374161.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/3573/7764/files/dabedam.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/9980/8149/files/26031716614.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/5920/8604/files/64541668728.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/5702/9024/files/latin_roots_prefixes_and_suffixes.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/5183/5801/files/18949557522.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/8476/6620/files/26617525446.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/6641/6534/files/zugigokadufazatu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9835/8432/files/72163988246.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/4251/2802/files/sabipinaxelesazagak.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 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off000082f9.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x82F9 | 4920 bytes |
SHA-256: a8961ae3cc41d6b8135dca81d3dcaefb691d00adafa63c2dca32f1a99a55e874 |
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font_01_sfnt_off000093b8.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x93B8 | 12228 bytes |
SHA-256: 8693c59d47e36fc9eccecde74b678597f417a052bc35b94e17778aee2b290b81 |
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font_02_sfnt_off0000b9aa.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xB9AA | 4324 bytes |
SHA-256: d1f4a20f0e35a0564be54678b929bb8c711862c507f070c2b9a6abea8daf4378 |
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