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 5
-
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.
-
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.
-
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.com/pify?keyword=analogue+and+digital+electronics+pdf In PDF document text
- http://files.mgfundraiser.com/uploads/1/3/1/4/131438180/seboziti.pdfIn PDF document text
- http://files.devinbeliveau.com/uploads/1/3/0/7/130739099/8af6d537ac92c.pdfIn PDF document text
- http://files.storyofhoperochester.com/uploads/1/3/0/7/130776661/3d0f37ef08.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/1/0432/1551/9912/files/44000159530.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/3577/7445/files/72653220076.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/8012/2532/files/nenikiwawewita.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/2045/1997/files/74284221515.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/9580/9431/files/sekevupu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0439/2943/6315/files/vokeme.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/0473/8206/files/learn_to_speak_portuguese.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/7511/6959/files/wurunaluwunelasewe.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/1918/1978/files/49152499477.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/7722/1017/files/42151233009.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/8402/1921/files/tolafow.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_off00006485.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6485 | 5312 bytes |
SHA-256: fe8038064b23c58a211e5458e2702e0aa2d54dcde2286716b711400b82da70cc |
|||
font_01_sfnt_off000076a7.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x76A7 | 14204 bytes |
SHA-256: f87eae9980d8e51d47e416ddd7dcc71c95ddae8fa5b270ceceb9487567c8b231 |
|||
Open this report in the interactive analyzer, or submit your own file for analysis.