MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
This PDF document contains multiple embedded links, with a primary link to a known malicious redirector at `https://ttraff.ru/wb?keyword=search%20text%20in%20pdf%20on%20iphone`. The document's content and structure suggest it is part of a link farm designed to drive traffic to malicious sites. The presence of numerous Shopify-hosted PDF links further supports this, indicating a campaign to generate SEO traffic for malicious purposes.
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/wb?keyword=search%20text%20in%20pdf%20on%20iphone In PDF document text
- http://files.makelifehd.org/uploads/1/3/1/0/131070597/wiwezilenu_gezer_vuzexedulax_xafalid.pdfIn PDF document text
- http://files.votesphere.com/uploads/1/3/0/7/130740490/7013813.pdfIn PDF document text
- http://zegugudu.copybyvan.com/uploads/1/3/0/9/130969744/dodovafowukusog.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/1/0439/1193/8216/files/23434144942.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/4777/8469/files/89630018223.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/7623/0046/files/kefuribiroranivinuti.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/7062/7735/files/42874735290.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/4288/2215/files/gekusom.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/6785/9359/files/50767512517.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/1139/8041/files/91887342088.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9373/8143/files/jerokal.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/1870/6341/files/27380885129.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/9277/8916/files/vekijoluxunajadiziber.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0982/6213/files/6466881430.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/7902/5318/files/amazing_grace_my_chains_are_gone_key_of_d.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/7048/8730/files/27012443083.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_off00005fad.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5FAD | 5204 bytes |
SHA-256: 71d19969c36f4d67f18adf7eed910a721441a3ddbc605e0bc8a7b2ccc31ce448 |
|||
font_01_sfnt_off00007161.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7161 | 10184 bytes |
SHA-256: 4d194288e7c60229a43d82445b86e129447a631e5a2b6e571d3c1081f7e9f69b |
|||
Open this report in the interactive analyzer, or submit your own file for analysis.