MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF contains embedded links that redirect to malicious infrastructure, specifically a redirector at 'ttraff.cc'. The document body, though heavily obfuscated, contains text suggesting it is a PDF related to sensory evaluation, which is likely a lure. The presence of numerous external PDF links, many pointing to Shopify domains with numeric slugs, indicates a link farm designed to obscure the true malicious destination. The ML classifier strongly flagged this PDF as malicious.
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=descriptive+analysis+in+sensory+evaluation+pdf In PDF document text
- http://solevi.magiczwork.com/uploads/1/3/0/8/130814328/2628935.pdfIn PDF document text
- http://files.jjohnsonartist.com/uploads/1/3/2/7/132741535/notewebelukamomi.pdfIn PDF document text
- http://files.miraclesinmassage.com/uploads/1/3/1/6/131606631/bomowirid-vejoxugek.pdfIn PDF document text
- http://lukuna.bufordwolvesden.com/uploads/1/3/2/6/132681670/89a2e1b46edcb.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/1/0428/9835/8432/files/39738284996.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/9297/4499/files/jibopuvemewora.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/9925/0072/files/48872673066.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/2436/7262/files/13095472520.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/0173/3542/files/concrete_curb_forms.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/0731/9974/files/81817287410.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/2625/9876/files/32334746283.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/1863/3894/files/12041511523.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/8804/4447/files/53243608754.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0648/3876/files/convert_webpage_to_on_ipad.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/1610/8707/files/95453889051.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/1940/2405/files/virijewatobabedaj.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/3801/4616/files/31867794206.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/6389/2375/files/libros_para_aprender_ingles_americano.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/7077/4693/files/20171641198.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_off0000940b.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x940B | 5312 bytes |
SHA-256: 753692b77e2fb51a7fff62faaefeca4a63e120597efeaa2ad4dbd2836e70fd15 |
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font_01_sfnt_off0000a638.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xA638 | 10312 bytes |
SHA-256: cd477f2838ebfeb784180097454363e2ae018f27d8f36d413e66810145795e26 |
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