MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1204.002 Malicious Link
This PDF file was flagged by a machine learning classifier as malicious. It contains a large number of embedded URLs, with one specifically identified as a known malicious redirector. The document body appears to be largely obfuscated or contains minimal readable text, but the presence of numerous links suggests a link farm or redirection tactic. The primary attack pattern involves leveraging these links to direct users to potentially harmful content.
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=ametropias+oftalmologia+pdf In PDF document text
- http://files.bestofvictoriabc.com/uploads/1/3/0/9/130969811/zuloze.pdfIn PDF document text
- http://files.maxinewade.com/uploads/1/3/1/4/131483027/fufetokepavige_pokif_dupezizuza_dusufo.pdfIn PDF document text
- http://files.transformationsbyerin.com/uploads/1/3/1/4/131453248/309337.pdfIn PDF document text
- http://files.lightingupbrixham.com/uploads/1/3/1/4/131452903/janilikijikedefewe.pdfIn PDF document text
- http://files.leveluponline.com/uploads/1/3/1/4/131407493/galejedizefik_xutavekila_kesuzu.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/1/0429/2853/7753/files/42734460150.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/4842/6910/files/60524390289.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/1415/2607/files/74431389743.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/4774/6710/files/pip_command_not_found_mac.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/0096/9896/files/16480005711.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/7465/0261/files/7859681907.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/4461/6864/files/48536129816.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/6274/7548/files/matem.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/2182/7222/files/sentinel_exploit_download.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/7845/1351/files/20545451271.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/2990/5058/files/tutomevabigexarujojixu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/5525/1605/files/37011970477.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/4164/3928/files/70254678026.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
🗂 Part of campaign:
bestofvictoriabc.com
3 samples
Extracted artifacts 2
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off000066cd.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x66CD | 5348 bytes |
SHA-256: bb8e7efc4fbccc3c126c6e18f47a3947b772f250209d04b6717fe471d35e4358 |
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font_01_sfnt_off000078e6.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x78E6 | 10296 bytes |
SHA-256: a38b68620557536ed852c25b06af2c8207bb1c5a4c23555e56cf008d08208e0c |
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