Malware Insights
The PDF contains numerous embedded links, with a critical heuristic identifying a link to a known malicious redirector at 'https://ttraff.com/pify?keyword=all+about+skin+care+pdf'. Another critical heuristic flagged the PDF for containing a large number of external links, suggesting a link farm for SEO poisoning or traffic redirection. The ML classifier also strongly indicated maliciousness. The document body, though heavily obfuscated, contains the same malicious URL and several benign-looking Shopify URLs, likely used to lend legitimacy.
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=all+about+skin+care+pdf In PDF document text
- http://files.bberidesserts.com/uploads/1/3/1/6/131637498/taketepifaju_labiweraluzax_wonewomab_gaporupajomet.pdfIn PDF document text
- http://files.utadrc.org/uploads/1/3/0/7/130739996/gipusavaf-furutum-zatizozadix.pdfIn PDF document text
- http://files.firebirdnewzeal.org/uploads/1/3/0/7/130739996/7942514.pdfIn PDF document text
- http://files.markusfx.com/uploads/1/3/1/6/131637108/zakevup.pdfIn PDF document text
- http://files.maidenlanecommunitycentre.org/uploads/1/3/1/4/131483317/035c29529806f4f.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- http://www.daltonmaag.com/In PDF document text
- https://cdn.shopify.com/s/files/1/0432/5359/6310/files/vazubupusulesino.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/0637/6611/files/echographie_de_l_appareil_urinaire.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/2667/7913/files/xajap.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/3257/5132/files/zeruzisezojegi.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/6187/0746/files/goripulatikazaxaja.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/17232613021.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/9200/9365/files/43921223808.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/1316/8542/files/98002447154.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/9963/4326/files/libelejawer.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/2782/3765/files/31700316762.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 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00006187.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6187 | 5224 bytes |
SHA-256: 5b5c5a75a70dc3b59319cc7e6e5f03d44e8ccce56c45ca879101e665ab281696 |
|||
font_01_sfnt_off00007349.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7349 | 10480 bytes |
SHA-256: c396c0f1ee61e04e27eed09f7684e039b97d42800dcdf1b3596c79fdfc6e5b4c |
|||
font_02_sfnt_off00009726.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9726 | 4324 bytes |
SHA-256: ce7e2e230a41ba6fc2d7d2240890c8289d67876d84a3d076d67c0b48111c8230 |
|||
Open this report in the interactive analyzer, or submit your own file for analysis.