MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
The PDF contains a link to a known malicious redirector, ttraff.ru, which is designed to lure users to malicious content. The document body, though heavily obfuscated, contains this URL and other URLs pointing to Shopify, likely as part of a link farm to improve SEO for the malicious redirector. The ML classifier strongly flagged this PDF as malicious, supporting the assessment of a malicious redirector attack pattern.
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=density+physical+science+if8767+answers In PDF document text
- http://files.jordsen.com/uploads/1/3/1/3/131381772/vazawalopanezil_riguripupoxa_minukug_kawefupen.pdfIn PDF document text
- http://sobugi.feistyandalivemommy.com/uploads/1/3/1/4/131406717/cada69e7d2194.pdfIn PDF document text
- http://files.yukondaffodils.com/uploads/1/3/0/7/130739892/jajizixesolagavopan.pdfIn PDF document text
- http://files.potomacprojectservices.com/uploads/1/3/0/7/130776182/1455d96b0aa371.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/1/0431/4251/2802/files/1829653553.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/7140/6234/files/ridumimurawofiz.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9835/8432/files/nisexabidubukov.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/1407/6069/files/22193275721.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/8974/0441/files/tixamukezirideneso.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/5851/1510/files/67537679438.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0453/5566/3515/files/mass_spectrometry_principles_and_applications_hoffmann.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/7063/5680/files/gipaboruzefaperer.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/3695/8104/files/vetilaloviwekalibiriv.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/6821/8780/files/esl_library_grammar_practice_worksheets_present_perfect.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/8696/2076/files/58683331441.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_off000068c7.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x68C7 | 5404 bytes |
SHA-256: 0e35cebb5261f7b65b7c4a4dc2e85f1ce8439bfc2ec929701925e16bfabd728e |
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font_01_sfnt_off00007b36.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7B36 | 11164 bytes |
SHA-256: ca25a284e35fa08bb70cf245b5d29ae9b26d327fa3fa41b0949f9b0ed4dcbd31 |
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font_02_sfnt_off0000a0d3.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xA0D3 | 4324 bytes |
SHA-256: 0d0f64e27578eb124b8bc81c7eceacdd166e22eddd95c81328e9fbd7de2a6333 |
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