MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
The PDF contains a prominent link to a malicious redirector, ttraff.com, which is disguised as a document about child eating disorders. This heuristic, combined with the ML classifier's high confidence, indicates a phishing or malware delivery attempt. The document body itself contains the malicious URL and numerous other URLs, many hosted on Shopify, likely as part of a link farm to improve search engine ranking for the malicious content.
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.com/pify?keyword=trastornos+alimenticios+en+ni%25C3%25B1os+de+0+a+6+a%25C3%25B1os+pdf In PDF document text
- http://dozixisev.hairandmakeupbylu.com/uploads/1/3/1/4/131408899/9743989.pdfIn PDF document text
- http://files.andreasyoga.com/uploads/1/3/1/4/131437669/b02c29a.pdfIn PDF document text
- http://zekeso.alex-andonov.com/uploads/1/3/1/3/131383791/ba00eb70d.pdfIn PDF document text
- http://files.powerinpresence.net/uploads/1/3/0/9/130969477/xulipurisawi.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/1/0434/8634/7414/files/98934053057.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9835/8432/files/kofuka.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/8857/6661/files/64477631004.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/3287/0044/files/another_word_for_values.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/0949/9551/files/linizumabud.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9835/8432/files/pizegavegip.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/38140624907.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/1817/4107/files/81989125983.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9950/5311/files/gesiwatajozamalakafob.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0439/2134/2619/files/mississippi_driver_s_permit_book.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_off00006418.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6418 | 5548 bytes |
SHA-256: d0dce106272bc821acd525cce2de265b39be8edb20e2b2fb20a24e6f6a9d81cd |
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font_01_sfnt_off00007687.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7687 | 10756 bytes |
SHA-256: 41ea0a5f3f3c927daa08fda4584c5b6975885c6dc7b899d9361aad47b606d20b |
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font_02_sfnt_off00009975.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9975 | 4324 bytes |
SHA-256: 0d0f64e27578eb124b8bc81c7eceacdd166e22eddd95c81328e9fbd7de2a6333 |
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