MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1204.002 Malicious File
This PDF file was flagged as malicious by a machine learning classifier and contains a large number of embedded links. One of these links, 'https://ttraff.ru/pify?keyword=lacerta+lepida+care+sheet', points to known malicious redirector infrastructure. The document body also contains this URL and numerous other links to PDFs hosted on Shopify and other domains, suggesting a link farm or SEO manipulation tactic. The primary intent appears to be directing users to potentially harmful 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.ru/pify?keyword=lacerta+lepida+care+sheet In PDF document text
- http://files.krasnoevents.com/uploads/1/3/1/4/131406780/pemekojitofarim_fivezifem.pdfIn PDF document text
- http://files.damnearcabins.com/uploads/1/3/1/4/131483083/4956039.pdfIn PDF document text
- http://files.cuestacollegerodeo.com/uploads/1/3/1/4/131483550/f518ae417.pdfIn PDF document text
- http://vovuwopu.marianwilde.com/uploads/1/3/2/6/132695550/gitoganofumisax-xasum.pdfIn PDF document text
- http://files.xinjunzhang.com/uploads/1/3/1/4/131438161/937f5328d0c0.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/1/0428/1604/5222/files/5295397421.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/0149/4178/files/ramagizesatewipeto.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/0852/3416/files/abdominal_examination_in_pregnancy.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/7786/1527/files/kixumokebusokuluzak.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/0223/2983/files/kozosimazezagapanavuk.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/4098/7543/files/43519062008.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/7188/7767/files/92315859162.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/6924/3549/files/83886984869.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/6542/5570/files/tabadigabejigomadasegowi.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/0613/0337/files/8129876175.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/9648/9632/files/anna_karenina_in_bengali.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9835/8432/files/87294954422.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0032/3478/files/95490210872.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 2
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00008614.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8614 | 5104 bytes |
SHA-256: 852dc0f2b7db9665bdbaa1e26c04a68b8004f2a04c32e5f7d820c393b129cafc |
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font_01_sfnt_off0000975e.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x975E | 10420 bytes |
SHA-256: 5506dbeb9cdd4ebf23b4e07c25a8f66034d22085cca7b68349bbe328c944a391 |
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