Malware Insights
The PDF file was flagged as malicious by a machine learning classifier and contains a critical heuristic indicating it links to known malicious redirector infrastructure. The document body, though heavily obfuscated, contains the URL https://ttraff.com/pify?keyword=analogue+and+digital+electronics+pdf, which is likely used to redirect users to a malicious site. Additionally, the PDF contains a link farm, with many links pointing to Shopify domains, suggesting an attempt to obscure the true destination or leverage benign domains for distribution.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
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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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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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.com/pify?keyword=analogue+and+digital+electronics+pdf
- http://files.mgfundraiser.com/uploads/1/3/1/4/131438180/seboziti.pdf
- http://files.devinbeliveau.com/uploads/1/3/0/7/130739099/8af6d537ac92c.pdf
- http://files.storyofhoperochester.com/uploads/1/3/0/7/130776661/3d0f37ef08.pdf
- https://cdn.shopify.com/s/files/1/0432/1551/9912/files/44000159530.pdf
- https://cdn.shopify.com/s/files/1/0437/3577/7445/files/72653220076.pdf
- https://cdn.shopify.com/s/files/1/0430/8012/2532/files/nenikiwawewita.pdf
- https://cdn.shopify.com/s/files/1/0430/2045/1997/files/74284221515.pdf
- https://cdn.shopify.com/s/files/1/0433/9580/9431/files/sekevupu.pdf
- https://cdn.shopify.com/s/files/1/0439/2943/6315/files/vokeme.pdf
- https://cdn.shopify.com/s/files/1/0436/0473/8206/files/learn_to_speak_portuguese.pdf
- https://cdn.shopify.com/s/files/1/0431/7511/6959/files/wurunaluwunelasewe.pdf
- https://cdn.shopify.com/s/files/1/0431/1918/1978/files/49152499477.pdf
- https://cdn.shopify.com/s/files/1/0436/7722/1017/files/42151233009.pdf
- https://cdn.shopify.com/s/files/1/0430/8402/1921/files/tolafow.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/
Extracted artifacts 2
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00006485.binfe8038064b23c58a211e5458e2702e0aa2d54dcde2286716b711400b82da70cc |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6485 | 5312 bytes |
font_01_sfnt_off000076a7.binf87eae9980d8e51d47e416ddd7dcc71c95ddae8fa5b270ceceb9487567c8b231 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x76A7 | 14204 bytes |
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