MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF contains embedded links that redirect to a malicious infrastructure, specifically `ttraff.cc`, disguised as a Schengen visa application. The ML classifier strongly indicates maliciousness, and the presence of numerous external links suggests a link farm or SEO poisoning tactic to drive traffic to potentially malicious sites. No scripts were extracted, but the document body and heuristics point to a phishing or scam lure.
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/pify?keyword=application+for+schengen+visa+pdf+spain In PDF document text
- http://files.bwanasafaris.com/uploads/1/3/1/6/131636642/9215710.pdfIn PDF document text
- http://files.jonahshue.com/uploads/1/3/1/3/131384127/vosunubozosaj.pdfIn PDF document text
- http://files.smithfieldrotarync.org/uploads/1/3/0/7/130740127/a7ec40a93adb3.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/1/0429/2267/2284/files/55846120372.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/5725/8401/files/67829153679.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/3316/5986/files/19761233990.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/4622/4540/files/reproduccion_animal_aplicada.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0439/4231/4152/files/pasta_recipes_in_marathi.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/1220/2389/files/ligavopejow.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/8873/0525/files/19106743120.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/9432/6944/files/40436256920.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/2873/4367/files/bsm_leveling_guide.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/8520/8483/files/business_analytics_james_r_evans_download.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/6626/9597/files/customs_declaration_indonesia.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/3295/1446/files/biceps_tendonitis_patient_handout.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/6095/3249/files/dark_souls_3_not_responding.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
- https://savannah.gnu.org/projects/freefont/In PDF document text
- http://www.gnu.org/licenses/In PDF document text
- http://www.gnu.org/copyleft/gpl.htmlIn PDF document text
- http://scripts.sil.org/OFLIn PDF document text
🗂 Part of campaign:
road2fullframe.com
10 samples
Extracted artifacts 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off000064b6.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x64B6 | 6744 bytes |
SHA-256: 0eac1552a6a0cc8d6d43e14f5c157d052ff2bf21460314f67a2c213e0a454e63 |
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font_01_sfnt_off0000759d.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x759D | 5464 bytes |
SHA-256: b354b5fce325f633c7ec3d2ddc01d80d51b53ecad7183dcbac062ad78769159f |
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font_02_sfnt_off0000883a.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x883A | 10352 bytes |
SHA-256: 5caa5010526ebce3c29ec760a05246093a4f81bfb91afeac19f8837cee4d3362 |
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