MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF contains a link to a redirector URL, 'https://cctraff.ru/123?keyword=gta+vice+city+apk+mod+revdl', which is associated with malicious activity and likely serves as a lure for downloading malware. The document also includes a large number of links to other PDFs, suggesting it is part of a link farm designed to improve search engine rankings for malicious content. No scripts were extracted, but the presence of embedded URLs and the ML classifier's high confidence indicate a malicious intent.
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://cctraff.ru/123?keyword=gta+vice+city+apk+mod+revdl In PDF document text
- https://cdn-cms.f-static.net/uploads/4377410/normal_5f89dcf10cb32.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4370280/normal_5f8a8c120bc64.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4374360/normal_5f908479db334.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4374002/normal_5f8e2ae8224e5.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4383165/normal_5f8cc0727a133.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4391642/normal_5f9264d2373a6.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://s3.amazonaws.com/ruzumeb/90248765114.pdfIn PDF document text
- https://s3.amazonaws.com/xamibudasagas/7368490650.pdfIn PDF document text
- https://s3.amazonaws.com/fomaralunex/alcoro_em_portugus.pdfIn PDF document text
- https://s3.amazonaws.com/suximawo/affairscloud_current_affairs_july_2018.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/1856/6306/files/how_to_get_to_elba_island.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0488/2854/7237/files/59509487195.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/5066/2053/files/55201564930.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0266/8157/3560/files/81858712750.pdfIn PDF document text
- https://s3.amazonaws.com/memul/animation_in_android_studio.pdfIn PDF document text
- https://s3.amazonaws.com/votubukaxogilix/millennium_development_goals_kenya.pdfIn PDF document text
- https://s3.amazonaws.com/gagagakigibapo/40906275458.pdfIn PDF document text
- https://s3.amazonaws.com/zidosozawok/machine_learning_algorithms_from_scratch_with_python.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
- https://savannah.gnu.org/projects/freefont/In PDF document text
- http://www.gnu.org/licenses/In PDF document text
- http://www.gnu.org/copyleft/gpl.htmlIn PDF document text
- http://scripts.sil.org/OFLIn PDF document text
Extracted artifacts 4
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00006a65.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6A65 | 6744 bytes |
SHA-256: ffeb89eaad713c9717385028f79c9757067aafb2c2382ea8cbab0e6efe35a425 |
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font_01_sfnt_off00007b1c.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7B1C | 7808 bytes |
SHA-256: 84c0782bfce39ce631230603449e605ab9e6b53690ca707cf00b30ee09bf3c63 |
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font_02_sfnt_off000095ec.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x95EC | 5300 bytes |
SHA-256: 35e1a984b1876704e323ff8ae7fd05273c8f85de1fa410068bfe80738e0c1312 |
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font_03_sfnt_off0000a7f0.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xA7F0 | 11024 bytes |
SHA-256: 48dcd467898a30aaf54d95e29ef89fe17afa3e777e2846a52c0742b8cf11d3b1 |
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