MALICIOUS
132
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF document contains multiple embedded links, with the primary one pointing to a known malicious redirector infrastructure at 'https://cctraff.ru/strik?keyword=angeletta+skin+cream+price'. This suggests the document is designed to redirect users to malicious sites, likely for phishing or to download further malware. The presence of these links and the ML classifier firing strongly indicate malicious intent.
Machine Learning
- Nyx PDF Classifier malicious score 0.9996
Heuristics 3
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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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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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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://cctraff.ru/strik?keyword=angeletta+skin+cream+price In PDF document text
- https://cdn-cms.f-static.net/uploads/4389582/normal_5f9040772a227.pdfIn PDF document text
- https://nitowapesapu.weebly.com/uploads/1/3/4/4/134442046/jibulidip_lasone_lukojawefever_lajidofuxepaka.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4392195/normal_5f91db70bb09c.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4371808/normal_5f9048ce3eaa3.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4365998/normal_5f86ff819d80e.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4384821/normal_5f913a9b79428.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4366000/normal_5f8742531a26a.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4365576/normal_5f871790f353c.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://uploads.strikinglycdn.com/files/396b2c86-b719-4cd9-a5a3-b5083aac21e0/vuvutagexeruwato.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/c08b058b-3302-4f11-825d-b9701859a21d/gitanenajiwunosi.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/c6cac616-60be-49db-9831-fb2bdf430caa/kogabixakavutobofisusozak.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/7cd74588-aeb3-4aa1-b848-07c0061f8cd6/vamoworur.pdfIn PDF document text
- http://scripts.sil.org/OFLIn PDF document text
Extracted artifacts 2
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off000065f3.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x65F3 | 5304 bytes |
SHA-256: 99bfd81045ffe97c8f68849e3a5b79ec5172f3228340e23999fb2aef8d19562b |
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font_01_sfnt_off000077f1.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x77F1 | 10888 bytes |
SHA-256: 63b3f6d324e191cbdcec6932234389e5913403c10f3b83bf7212115c77f2aff2 |
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