MALICIOUS
184
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1203 Exploitation for Client Execution
The PDF file contains a large number of embedded links, many of which point to external PDF files hosted on various domains. One of these links, 'https://ggtraff.ru/aws?keyword=how+to+cite+lecture+notes+asa', is identified as a known malicious redirector. The ML classifier also flagged this PDF with high confidence. The document body is heavily obfuscated and appears to be a lure for search engines, likely to attract unsuspecting users to click on the malicious links.
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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Small PDF is a non-clustered link farm on disposable hosting medium PDF_SEO_DISPOSABLE_LINK_FARMSmall PDF contains many clickable external PDF links spread thin across many distinct hosts (no single dominant host), corroborated by a utm_term SEO-redirector link and/or links parked on free/disposable content hosts. This is the 'free document/template' SEO phishing PDF family, which ranks for search queries and routes users into payload/redirect chains, rather than a normal document citation pattern. The PDF itself carries no exploit — the risk is the linked destinations.
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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://ggtraff.ru/aws?keyword=how+to+cite+lecture+notes+asa In PDF document text
- https://cdn-cms.f-static.net/uploads/4409095/normal_5f99041ead2d6.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4388165/normal_5f8ec208ded22.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4366309/normal_5f9502976a20e.pdfIn PDF document text
- https://gimejexoxixaza.weebly.com/uploads/1/3/1/8/131872185/monirafulowafix.pdfIn PDF document text
- https://fidevawane.weebly.com/uploads/1/3/0/8/130814252/nadekejezulal-sifudavadek-woxirug.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4367624/normal_5f9a3ffdded2c.pdfIn PDF document text
- https://lujadogube.weebly.com/uploads/1/3/4/5/134522393/fekebilotoba_zozirov_vebewujos.pdfIn PDF document text
- https://bafovulik.weebly.com/uploads/1/3/1/0/131070506/sudenaromufesew-nosozexisiguju.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4370307/normal_5f8b3e60ed166.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4365646/normal_5f873e3726f25.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4365584/normal_5f875dee11e9b.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/1/0483/9578/0245/files/87251093714.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0498/8203/8430/files/first_aid_manual_10th_edition_free.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0266/9232/1451/files/binomial_theorem_probability_worksheet.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0502/5959/1321/files/wb_school_si_syllabus.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/9043/4455/files/equus_play_script.pdfIn PDF document text
- https://s3.amazonaws.com/fasanag/julelojavozobatuwepanero.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/235ff62d-dbb8-4e92-9a74-876ac7d4d237/mofiviginobonuzov.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/1b875161-7006-44b1-b5b6-bf41c31534d2/gagatovat.pdfIn PDF document text
- https://s3.amazonaws.com/kufazete/cambridge_english_business_book.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_off00006b00.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6B00 | 4848 bytes |
SHA-256: 83e456322854de22a4d52b9689a2fe0187370e306f6ce49f9a48e5069c43986a |
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font_01_sfnt_off00007b95.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7B95 | 10400 bytes |
SHA-256: 9f3a90dd354538b34762719074895c058a2c8016ebb1cf9a228561c73f8bd023 |
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