Malware Insights
This PDF document exhibits characteristics of an advance-fee scam, presenting a lure that encourages users to click a link for a download or prize. The primary link, 'https://ttraff.ru/pify?keyword=transformers+botbots+series+2+codes', is identified as a malicious redirector. The document also contains a large number of embedded links, many pointing to benign Shopify URLs, but the presence of the malicious redirector and the scam lure indicates a high likelihood of malicious intent. No scripts were extracted, but the PDF structure itself facilitates the redirection.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 6
-
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.
-
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.
-
Advance-fee lottery/parcel scam lure high SE_ADVANCE_FEE_SCAM_LUREDocument contains lottery/beneficiary or prize language together with large-value draft/funds wording and parcel/courier delivery requirements. This is a classic advance-fee fraud document shape.
-
Visual download / call-to-action button lure low SE_DOWNLOAD_BUTTONDocument contains a call-to-action phrase ('Click here to download', 'Download Now', etc.) — low-signal unless other findings point to a malicious workflow
-
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.
-
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=transformers+botbots+series+2+codes
- http://files.cwamyouthleague.org/uploads/1/3/0/8/130873902/9dc81a65e73.pdf
- http://www.ascendercorp.com/
- http://www.ascendercorp.com/typedesigners.html
- https://cdn.shopify.com/s/files/1/0433/8837/1107/files/42378835145.pdf
- https://cdn.shopify.com/s/files/1/0435/8632/2593/files/dukowusogoro.pdf
- https://cdn.shopify.com/s/files/1/0432/9183/6572/files/buken.pdf
- https://cdn.shopify.com/s/files/1/0433/7372/3800/files/46440822950.pdf
- https://cdn.shopify.com/s/files/1/0429/8909/3018/files/wukibavom.pdf
- https://cdn.shopify.com/s/files/1/0428/8384/2215/files/16377401581.pdf
- https://cdn.shopify.com/s/files/1/0439/0384/4520/files/oxford_learner_s_thesaurus.pdf
- https://cdn.shopify.com/s/files/1/0440/2174/3781/files/bhartiya_sanskriti_gyan_pariksha_question_paper.pdf
- https://cdn.shopify.com/s/files/1/0433/1218/5499/files/video_er_apk_for_jio_phone.pdf
- https://cdn.shopify.com/s/files/1/0432/8770/7804/files/53637642869.pdf
- https://cdn.shopify.com/s/files/1/0434/7199/5033/files/98022211933.pdf
- https://cdn.shopify.com/s/files/1/0432/2839/7727/files/xesowitubapokoxiwixu.pdf
- http://www.w3.org/1999/02/22-rdf-syntax-ns#
- http://purl.org/dc/elements/1.1/
- http://ns.adobe.com/pdf/1.3/
- http://ns.adobe.com/xap/1.0/
- http://ns.adobe.com/xap/1.0/mm/
- http://ns.adobe.com/xap/1.0/rights/
- http://scripts.sil.org/OFL
Extracted artifacts 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off0000b4fd.bin20971e0e89422a8ee45731afa309b9d5eef92a0bbe796218344729afa4d7dfcc |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xB4FD | 5156 bytes |
font_01_sfnt_off0000c6da.bin4c23afdb7206740db2f8eeefee15031aa02421933b7d3b32fdfb093ceb0e7369 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xC6DA | 5356 bytes |
font_02_sfnt_off0000d8f0.bind9974081a14807f322e4876ca7dadf388ace6af72a94fad6326a4f88e927b9e0 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xD8F0 | 16552 bytes |
Open this report in the interactive analyzer, or submit your own file for analysis.