MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
The PDF contains a link that redirects to a malicious URL, identified by the PDF_MALICIOUS_REDIRECTOR_LINK heuristic. The document body and embedded links suggest a lure to download a PDF, but the primary link leads to a known malicious redirector. The ML classifier strongly flagged this PDF as malicious. The presence of numerous external links, many pointing to Shopify, indicates a link farm for SEO manipulation, likely to obscure the malicious redirector.
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=sweater+design+in+plain+english+pdf In PDF document text
- http://dikakos.annemcallisterart.co.uk/uploads/1/3/1/3/131383444/nafiriri.pdfIn PDF document text
- http://files.bibs2bags.com/uploads/1/3/1/4/131437005/gibixupulamakaj_lawimadi_regufiw_zukubu.pdfIn PDF document text
- http://files.v-list.org/uploads/1/3/2/8/132815220/4946318.pdfIn PDF document text
- http://naralab.fineartfinewinefair.com/uploads/1/3/0/7/130738799/7010139.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/1/0431/0974/4789/files/list_of_car_manufacturers.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/8360/3873/files/wekizabelakogujisubazako.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/8283/2280/files/tfc_agronomie.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/6990/5825/files/nasegulamapokotasuwero.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/8402/9854/files/36508465137.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/0436/2906/files/gixixiposiwilamu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/1382/3909/files/lelilupelexutepopoxinodaw.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/2338/2166/files/wumunud.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/6443/5612/files/monomefu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/5639/0551/files/72873831139.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9835/8432/files/77363931764.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/3046/3142/files/79169167261.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_off000065b2.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x65B2 | 5176 bytes |
SHA-256: a3790fd1a3ac15433d7721884842ce17883fcb5fa0008f2f6cd77a5514291bbe |
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font_01_sfnt_off00007743.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7743 | 10600 bytes |
SHA-256: 029acd90a133aae116ebb55710a619ad166f241430afa02428ac485b277a2a88 |
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font_02_sfnt_off00009b7c.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9B7C | 4324 bytes |
SHA-256: 7f6049e5011acf0e8581793f2bc2bb947aac2929fdb77abc318b2a6155c1ef71 |
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