MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
The PDF contains a large number of embedded links, many of which point to external PDF files hosted on various domains, suggesting a link farm for SEO manipulation or to obscure malicious redirects. One critical heuristic identified a direct link to a known malicious redirector, ttraff.cc, which is further obfuscated by a query parameter related to a 'Viber app free for android' lure. The document body contains garbled text but includes the malicious URL and several benign-looking URLs hosted on Shopify, likely part of the link farm. The primary intent appears to be directing users to malicious infrastructure through a deceptive download lure.
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=viber+app+free+for+android In PDF document text
- http://tugajepid.tomorrowlandtshirtauthority.com/uploads/1/3/1/6/131606739/mogatilidiposis-pixorofazod.pdfIn PDF document text
- http://nubujubu.midwaybaptistnc.org/uploads/1/3/2/3/132303189/negogegopuma-duburijuxifur-piwadel-vekitege.pdfIn PDF document text
- http://pofepax.sjrls.org/uploads/1/3/0/8/130874219/gumot-jupifizawot-rexedefomijas.pdfIn PDF document text
- http://forexalo.answersformylife.com/uploads/1/3/2/7/132740954/vevuwukeseb-xezumipadodaboz.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/1/0439/6787/3182/files/mariposa_military_base.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/5405/6095/files/nigger_owner_manual.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/5174/5442/files/90227251197.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0462/4380/7392/files/29849060204.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9835/8432/files/rejukimuvili.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/6750/6849/files/demir.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/1540/5725/files/fevedavulaw.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/3538/6275/files/depuwaz.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/5405/6092/files/95346392585.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/65105912314.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/4645/2899/files/burnout_test.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/1479/7981/files/all_information_hngu.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_off000063af.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x63AF | 4932 bytes |
SHA-256: b76c8e6c19bbf676963a705784e1f94d41b451b8f3449cbeb8704ec6c29e7806 |
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font_01_sfnt_off0000747e.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x747E | 9980 bytes |
SHA-256: 57f7f87393220375ca677616be74265fd35eccf2ca3c9491f289845408256277 |
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