MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1204.002 Malicious Link
The PDF contains a significant number of embedded links, many pointing to Shopify domains, forming a link farm. One critical heuristic identified a link to a known malicious redirector at 'https://ttraff.ru/pify?keyword=does+brook+ayers+have+cancer', suggesting this is the primary malicious payload delivery mechanism. The ML classifier strongly supports the malicious nature of this PDF. No scripts were extracted from this sample.
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=does+brook+ayers+have+cancer In PDF document text
- http://files.stringsforhope.org/uploads/1/3/1/0/131070604/5929030.pdfIn PDF document text
- http://files.zontafortworth.org/uploads/1/3/0/8/130814063/5823781.pdfIn PDF document text
- http://files.theshamandoctor.com/uploads/1/3/1/4/131453395/putesuv.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/1/0433/1136/6309/files/50379815234.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/4283/1522/files/mirete.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/7709/9939/files/18994732227.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/3942/4665/files/lomutidoxikofota.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/1098/2041/files/latoxufixoduwisoxujiv.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/7077/5706/files/bixoruli.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/67641838088.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/5561/2057/files/zivefuxefisepapupofuxed.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/5101/5577/files/tisojobareku.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/4043/9446/files/12435042908.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/9802/9733/files/wii_u_torrent.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/4677/2646/files/texivabuvanakev.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 |
|---|---|---|---|
stream_004_off000067ae.bin |
decompressed-pdf-stream | PDF FlateDecoded stream at offset 0x67AE | 4880 bytes |
SHA-256: a2c6ce84a02b429357f0202f4b2746d600fc542cafc71d8252bf5004d9982838 |
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font_01_sfnt_off00007835.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7835 | 9968 bytes |
SHA-256: 01516ebe35e9ab5dbfc4c0b2a65a65b6e9aaad0c7b7f24a6039eef5833e8d98b |
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font_02_sfnt_off00009a59.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9A59 | 4324 bytes |
SHA-256: cd94ef65598b1866d0653cdd88243d989fd81359c0e770c2d3a4858f1c2f6d34 |
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