MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1204.002 Malicious Link
The PDF contains a large number of embedded links, many pointing to Shopify domains, but one critical link directs to a known malicious redirector infrastructure at `https://ttraff.ru/pify?keyword=cambridge+vocabulary+for+pet+pdf+vk`. This suggests the document is designed to act as a link farm, potentially for SEO poisoning or to redirect users to malicious content. The ML classifier also strongly flagged this PDF as malicious.
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.ru/pify?keyword=cambridge+vocabulary+for+pet+pdf+vk In PDF document text
- http://pokabu.cluthaphotos.com/uploads/1/3/0/7/130775403/mamozabub.pdfIn PDF document text
- http://files.thenakedforge.com/uploads/1/3/2/7/132740398/nifigobusubat_xitiwuronerezo.pdfIn PDF document text
- http://files.fiddleheadfoods.com/uploads/1/3/0/8/130814575/sofujo-nelabidav-pimak.pdfIn PDF document text
- http://files.villalaurus-enluberon.net/uploads/1/3/2/7/132741476/8262869.pdfIn PDF document text
- http://sugav.eatmooreproduce.com/uploads/1/3/1/1/131163590/4701607.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/1/0428/7175/0822/files/15320963728.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/7184/8100/files/wusodazazojuvemulofigosa.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/8520/1561/files/pevumoremiveregeti.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/4649/3605/files/definition_of_science_fiction.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/5857/7051/files/57998676967.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/0589/5075/files/wofuxabijokisatifunexejol.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/2742/9533/files/how_hr_in_github_readme.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/3692/5342/files/zikibamelogolesibufusu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/2562/9335/files/46221382849.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/5467/8687/files/sixuromanir.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/1274/2550/files/luwakege.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/4248/5910/files/diseases_related_to_carbohydrate_metabolism.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/3170/7294/files/carol_of_the_bells_score_choir.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_off00005198.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5198 | 5568 bytes |
SHA-256: a5cb3dbf6bf9f2d385694d9434509bfa5fb3f3b461117f2005b2c32b48f6c136 |
|||
font_01_sfnt_off00006489.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6489 | 10376 bytes |
SHA-256: 122eeee12e62771d08c99630b2db67c2d5c215f1b64d817e83964eeb3a9f1ed3 |
|||
Open this report in the interactive analyzer, or submit your own file for analysis.