MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF document contains multiple embedded links, with a primary link pointing to a known malicious redirector infrastructure. This redirector is used to lure victims into downloading further malicious content, disguised as a free dictionary PDF. The ML classifier strongly flagged this PDF as malicious, and the presence of numerous SEO-optimized links suggests a link farm designed to distribute malware.
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.com/pify?keyword=diccionario+ingles+espa%25C3%25B1ol+de+administracion+de+empresas+pdf In PDF document text
- http://files.artculturetourism.co.uk/uploads/1/3/1/4/131454634/kofazibug.pdfIn PDF document text
- http://files.merseamuddshack.com/uploads/1/3/1/1/131164202/mirunejupeneg-rosotafewoxi-ririnabip.pdfIn PDF document text
- http://files.paulbunyantax.com/uploads/1/3/0/9/130969424/2686f37bd15df.pdfIn PDF document text
- http://files.yarnonyouree.com/uploads/1/3/0/7/130776350/04b145b23c40bd.pdfIn PDF document text
- http://files.nokaloosacert.org/uploads/1/3/1/4/131437627/gazirezesuliwuk_fegawiwudusuvon_vifejunezow_petalim.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/1/0435/8553/6159/files/95855939261.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/4945/0661/files/logilinapazus.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/8276/0870/files/cold_steel_special_projects.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/8833/9361/files/muvejebubibotujiketutanum.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/1814/1347/files/52234160411.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/4686/3005/files/wugizixebudin.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/9227/9445/files/logajojekiketiwi.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/1128/4885/files/gibuwilozuwerunibo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/4977/1430/files/kaserofegodev.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/3264/9636/files/89363325815.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9835/8432/files/66916333827.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_off00007c13.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7C13 | 4192 bytes |
SHA-256: 7872befba9e9b811ed46ebbfa42a9d26e336f45cf0cf31a27c1b0f9562fa9d78 |
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font_01_sfnt_off00008aca.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8ACA | 5684 bytes |
SHA-256: e42ee3cbe6aa21fc009a254cafdaea9819f664487213177ec678613b7bfddb59 |
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font_02_sfnt_off00009dd1.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9DD1 | 18132 bytes |
SHA-256: a380d0b5693ce7397d524943e0d6ed711fb505b58ae02da0a3b1d2466c529716 |
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