MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
The PDF was flagged as malicious by a machine learning classifier and contains a critical heuristic indicating it links to known malicious redirector infrastructure. The document body, though heavily obfuscated, contains a URL that appears to be part of a link farm, with numerous embedded links pointing to various shopify domains and other unknown hosts. This suggests the primary purpose is to lure users to malicious sites.
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.ru/pify?keyword=malayalam+bible+funny+questions+and+answers In PDF document text
- http://kebufiti.sunnytreehouse.com/uploads/1/3/1/3/131398027/xerasosudadib-nafobopibo-giwisuzebumu-kuluwadob.pdfIn PDF document text
- http://files.realestatestuff.net/uploads/1/3/0/7/130739918/f4decbb3.pdfIn PDF document text
- http://mupox.tjcsga.org/uploads/1/3/1/4/131452923/5f1412a7f309f5.pdfIn PDF document text
- http://files.fernandojimenezphoto.com/uploads/1/3/0/7/130775868/tezafovibebami.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/8062/9913/files/sense8_christmas_special_torrent.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/2072/1055/files/best_video_editor_apk_mod.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/2287/5797/files/34126907597.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/9762/9596/files/fozuresa.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0465/0473/8966/files/1910317212.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/4704/0662/files/58170819360.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/0763/1782/files/ritagezamuveletagivofu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/2891/4074/files/21058187868.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9835/8432/files/bijalikupuxamimidesedol.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/6927/5286/files/lifewegafipidigol.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/1825/5510/files/chemical_and_catalytic_reaction_engineering.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/8991/2218/files/gituv.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/4095/4773/files/98954137723.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/8184/3356/files/10784810412.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_off00009170.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9170 | 5516 bytes |
SHA-256: fce18546806ae485f4cdde9ba8850366f7a9f942b2837526f47dfdf3e39f5558 |
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font_01_sfnt_off0000a430.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xA430 | 10404 bytes |
SHA-256: 37a061855c6e4c8e902c8b56087ca38891a5d28e1f00572d676b2a9732441cca |
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