MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF contains numerous links, including one pointing to a known malicious redirector at 'https://ttraff.ru/pify?keyword=betternet+vpn+for+pc+with+crack'. This redirector is likely used to funnel users to malicious or unwanted software downloads, disguised as legitimate software like VPNs. The presence of many links to Shopify-hosted PDFs suggests a link farm or SEO manipulation tactic to increase visibility for the malicious redirector.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 5
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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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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.
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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.
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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.ru/pify?keyword=betternet+vpn+for+pc+with+crack In PDF document text
- http://files.demesstainedglass.com/uploads/1/3/0/7/130739450/de480.pdfIn PDF document text
- http://files.diamondbackcombatives.com/uploads/1/3/1/4/131454523/5842649a1a067b.pdfIn PDF document text
- http://files.countryclubkennelsgrovecity.com/uploads/1/3/1/4/131437457/tefol-fakavuw-tezawig-tajukotuxud.pdfIn PDF document text
- http://libavir.llaycommunitychurch.com/uploads/1/3/2/6/132681670/tokesaj.pdfIn PDF document text
- http://files.copperpondlodge.com/uploads/1/3/0/7/130739758/wuradatep-samumarubon-zabubur.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/1/0437/4000/4501/files/fezitokujakubezodarejudig.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/1498/7669/files/lozopapikapugoxuwopafov.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/5039/2984/files/witafepuzo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/5117/9416/files/janonerogexugifazez.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/8197/3416/files/remixexasogu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/9286/9281/files/93712563324.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/9202/5249/files/ovarian_tissue_cryopreservation.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/2456/1829/files/english_speaking_vocabulary.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0058/5636/files/43320211184.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/1207/7206/files/kawalotemimepa.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/3407/5558/files/90001955572.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_off00006f25.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6F25 | 4944 bytes |
SHA-256: a0a797fcedd681c41116d044a41abb7069dceef3d91b63e84c49172c9af00ad6 |
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font_01_sfnt_off00007ffe.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7FFE | 10628 bytes |
SHA-256: a98a67d76b8baed8e5a8ebc21e978b578a8d3de8e46a2eaaede70472a0704a7d |
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font_02_sfnt_off0000a38a.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xA38A | 4324 bytes |
SHA-256: 7f6049e5011acf0e8581793f2bc2bb947aac2929fdb77abc318b2a6155c1ef71 |
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