MALICIOUS
202
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
This PDF file contains numerous embedded links, many of which point to a redirector service (ttraff.ru). The document body, though heavily obfuscated, contains URLs that are likely part of a link farm designed to improve search engine ranking for malicious content. The ML classifier strongly indicates maliciousness, and the presence of redirector links suggests an attempt to funnel users to a malicious site, likely for phishing or malware distribution.
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.ru/pify?keyword=pathogenesis+of+pneumonia+pdf In PDF document text
- http://gedijixo.threefaiths.org/uploads/1/3/0/7/130776760/suvasidug_puwexikuropibe_tolokenu.pdfIn PDF document text
- http://files.tampaiscebs.org/uploads/1/3/0/9/130969474/varinir.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/1/0431/4054/6714/files/66626501473.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/4388/9058/files/64331136354.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/8295/7478/files/algorithms_and_complexity_book.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/3776/9383/files/71358755639.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/7264/2454/files/lafapekes.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/7927/0554/files/23432911505.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/9199/3500/files/25169046387.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/8907/5099/files/the_elements_of_statistical_learning_friedman.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/4275/7029/files/link_to_mp4.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/2173/7882/files/nouns_adjectives_verbs_and_adverbs_transformation_tables.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/1812/5465/files/italian_alphabet_chart.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_off00005f30.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5F30 | 5328 bytes |
SHA-256: e58f84460a8f52eafcc10c01fd5b6ea5dad29c5518594c1651dc0230dd83831e |
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font_01_sfnt_off0000712f.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x712F | 9780 bytes |
SHA-256: 32ee7d1c8880abb84a0798f2e776bd996bc61b75bbe18fd01f6251a72253df01 |
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font_02_sfnt_off000092c2.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x92C2 | 16120 bytes |
SHA-256: 15cc5c52b507135e8b88421ba6518d619f75b60a2b0061e0982ff1989570a3ec |
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