MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
The PDF file was flagged by multiple critical heuristics indicating malicious redirector links and a link farm. The primary malicious URL, https://ttraff.ru/pify?keyword=..., is a known redirector. The document body contains numerous embedded URLs, including the malicious redirector and benign Shopify links, suggesting a phishing or redirection attempt. The ML classifier strongly supports the malicious verdict.
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=%25D8%25A7%25D9%2584%25D8%25B1%25D8%25B3%25D9%2585+%25D8%25A7%25D9%2584%25D8%25A8%25D9%258A%25D8%25A7%25D9%2586%25D9%258A+%25D9%2588%25D8%25A7%25D9%2584%25D8%25B1%25D8%25B3%25D9%2588%25D9%2585+%25D8%25A7%25D9%2584%25D8%25A8%25D9%258A%25D8%25A7%25D9%2586%25D9%258A%25D8%25A9+%25D9%2584%25D9%2584%25D8%25B5%25D9%2581 In PDF document text
- http://files.christinarobohm.com/uploads/1/3/1/3/131384602/c3ec0c.pdfIn PDF document text
- http://files.sassysewingandembroidery.com/uploads/1/3/0/7/130776275/xugolexog.pdfIn PDF document text
- https://ttraff.ru/pify?keyword=%25D8%25A7%25D9%2584%25D8%25B1%25D8%25B3%25D9%2585+%25D8%25A7%25D9%2584%25D8%25A8%25D9%258A%25D8%25A7%25D9%2586%25D9%258A+%25D9%2588%25D8%25A7%25D9%2584%25D8%25B1%25D8%25B3%25D9%2588%25D9%2585+%25D8%25A7%25D9%2584%25D8%25A8%25D9%258A%25D8%25A7%25D9%2586%25D9%258A%25D8%In 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/1/0440/4976/0406/files/48680185475.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/2299/9964/files/askep_anemia_defisiensi_besi.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/2440/6938/files/roduwoximisifoduz.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/3573/7764/files/pekomes.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/3465/4358/files/bonetrousle_holder_remix.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/3141/3415/files/40447671072.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0455/6242/9605/files/voxeganagudetujom.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/4882/8065/files/ielts_reading_answers_of_therapeutic.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://dejavu.sourceforge.netIn PDF document text
- http://dejavu.sourceforge.net/wiki/index.php/LicenseIn PDF document text
- http://scripts.sil.org/OFLIn PDF document text
Extracted artifacts 4
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
stream_006_off0000ce5b.bin |
decompressed-pdf-stream | PDF FlateDecoded stream at offset 0xCE5B | 32336 bytes |
SHA-256: fe7efe9d2fa196eaa69286cda074a0d2099bb8cda21ce6a65f0609c53a69c713 |
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font_00_sfnt_off00008625.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8625 | 4068 bytes |
SHA-256: ca42d5ed38f04d35f6c6ef927e9c0e2abbbfec64d896d823d531a8752c72a089 |
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font_01_sfnt_off00009403.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9403 | 18184 bytes |
SHA-256: 45c341efe787309ef1246e3503d13c8e0af362a07948040fb85871ffa2315ce1 |
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font_02_sfnt_off0000afcc.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xAFCC | 8844 bytes |
SHA-256: a33095dd0abfae7def260366eff9ff7906a754313a63389252aa0cd73cc7ed1e |
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