MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1204.002 Malicious Link
The PDF document exhibits characteristics of a link farm or SEO manipulation scheme, embedding a large number of external links, many pointing to Shopify-hosted PDFs. Crucially, one embedded link redirects to malicious infrastructure at 'ttraff.ru', indicating a potential phishing or malware distribution vector. The ML classifier also strongly flagged this PDF as malicious. No scripts were extracted from this sample.
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=classification+of+matter+note+taking+worksheet In PDF document text
- http://jekazina.glassondemandinc.com/uploads/1/3/1/8/131871825/36935.pdfIn PDF document text
- http://pusixike.sacramentoeslprogram.org/uploads/1/3/0/7/130776542/zariwixegilik.pdfIn PDF document text
- http://files.partrealpartdream.com/uploads/1/3/0/7/130775145/7758762.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/1/0434/0187/1512/files/wuzuluginalufirivixibu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/1825/4498/files/business_communication_notes_for_bcom.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/semigo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/7487/1711/files/vocabulaire_anglais_affaires.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0700/8168/files/driver_s_license_manual.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/4829/6857/files/30274488254.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/6516/3422/files/99420085633.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/6612/0609/files/kexotiwaru.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/8073/6165/files/83180180032.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/0873/6936/files/lawewejojawavefiwofuke.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/7518/9401/files/cerere_inmatriculare_auto_bucuresti.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/8321/6549/files/takosijaditi.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/1666/4734/files/89057531712.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/0545/1160/files/kanipisiganogesetaw.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_off00004c0a.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x4C0A | 5260 bytes |
SHA-256: bf656f55f2896a75647dc79e8c876db9c93856cda646da92091ec2ed040537d8 |
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font_01_sfnt_off00005dc9.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5DC9 | 9348 bytes |
SHA-256: b75b25c84d666276c6a0b70cce8a3476637261eec56a883af09210be0668d3bf |
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font_02_sfnt_off00007d9f.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7D9F | 4324 bytes |
SHA-256: b50a2106bf82917db0cd3cf88f63c5e8cc3298b343ace5cffc591b35df33d24c |
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