MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
The PDF file was flagged as malicious by an ML classifier and contains a significant number of embedded links, with one pointing to a known malicious redirector. The document body, though heavily obfuscated, appears to contain metadata related to PDF creation and administrative letter writing, suggesting a lure. The primary attack vector appears to be a link farm designed to redirect users to 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.cc/wb?keyword=comment%20ecrire%20une%20lettre%20administrative%20en%20francais%20pdf In PDF document text
- http://files.bakmonastery.com/uploads/1/3/1/4/131437532/b5c13.pdfIn PDF document text
- http://files.odomengineering.com/uploads/1/3/0/7/130738531/54540f5238e5.pdfIn PDF document text
- http://files.gratitudeismyreligion.com/uploads/1/3/1/1/131163492/segugilagisux-xixatubalewo.pdfIn PDF document text
- http://files.spartafbo.com/uploads/1/3/1/3/131383889/zemokevirisebiv_gaperazefame_rivabiditu.pdfIn 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/1/0431/9654/7230/files/wixas.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/98908457197.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/4494/4542/files/34286885361.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/4797/7114/files/6535898806.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/3652/2149/files/lataf.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/1596/9688/files/81462927794.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0439/8995/8814/files/kamofofekanofozuwexanaj.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/6547/5229/files/78001089878.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0439/1708/2792/files/74790253427.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/2065/6545/files/tufijitekikivebuzovu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/3046/3142/files/37245554089.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9026/4742/files/12573355366.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/7803/2296/files/29915789438.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/8579/8301/files/rokasikisa.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
🗂 Part of campaign:
bluemountainwine.com
4 samples
Extracted artifacts 2
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off0000714e.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x714E | 5264 bytes |
SHA-256: 11d054b7d8c60bc8bb86ff73ea924e0ac50a37920874b05fd7b576390ec9c280 |
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font_01_sfnt_off0000831f.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x831F | 11992 bytes |
SHA-256: ea2890ac56ebc4d57d5cc41f94791c10ae99f101be4b772c7d60ca7881bdef29 |
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