MALICIOUS
202
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF contains embedded links that redirect to a known malicious infrastructure, specifically 'ttraff.cc'. The document body, though heavily obfuscated, appears to contain keywords related to medical guidelines, likely serving as a lure. The ML classifier strongly indicates maliciousness, and the presence of redirector links points to a phishing or malware distribution attempt.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 6
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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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Urgency / deadline lure low SE_URGENCY_LUREDocument contains urgency or deadline language ('account will be terminated', 'action required within 24 hours', etc.) — useful context, but low-signal without other findings
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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=fungal+peritonitis+treatment+guidelines In PDF document text
- http://renedur.redneckinnovation.com/uploads/1/3/1/8/131856979/xavuxa.pdfIn PDF document text
- http://files.lorainedavies.com/uploads/1/3/0/8/130814644/povutameseboji.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/1/0430/3139/6501/files/alvaro_siza_obras.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/8361/9738/files/dyslipidemia_guidelines_canada.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/8982/0836/files/allergens_in_food.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/3583/6059/files/66846413780.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/3016/7203/files/66184555894.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/5732/3933/files/xunujofakovilivu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/8565/0325/files/calvarial_bone_graft_harvest_technique.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/7089/7824/files/pozurumufoxoz.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/5108/0087/files/acta_constitutiva_que_es.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/8588/9689/files/87698677979.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/0688/6051/files/tilenafinegunasadikazan.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
- http://dejavu.sourceforge.netIn PDF document text
- http://dejavu.sourceforge.net/wiki/index.php/LicenseIn PDF document text
Extracted artifacts 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00017886.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x17886 | 5236 bytes |
SHA-256: 79d7fc65c7ff82d642176382bf5d5ba1a8dca9e91e5fe2c913b09dfeda6dd543 |
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font_01_sfnt_off00018a3e.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x18A3E | 11516 bytes |
SHA-256: 01e6dc8f9987b3c1311a4a47f217954c95b93d8264e2424d875ad2a7112b3186 |
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font_02_sfnt_off0001b02d.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x1B02D | 16156 bytes |
SHA-256: ce55ea6cbae09b9f457b4bddb423f762e65a5598dfa48e4f78c2d33149a921d0 |
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