MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF contains multiple embedded URLs, with a critical heuristic identifying a link to a known malicious redirector at 'https://cctraff.ru/aws?keyword=azure+water+strider+not+walking+on+water'. This redirector is likely used to obscure the final malicious destination. The presence of numerous other PDF links suggests a link farm or SEO manipulation tactic to increase visibility and lure victims. The ML classifier strongly indicates maliciousness.
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/aws?keyword=azure+water+strider+not+walking+on+water In PDF document text
- https://cdn-cms.f-static.net/uploads/4387054/normal_5f919a643f958.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4378406/normal_5f9a03fd7bc29.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/1/0435/8399/6063/files/set_up_apple_tv_4k_manually.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/03ae5b72-4cdc-4a40-ad59-2ca4bba043f7/37908908576.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/d2108bea-e250-42bc-9a00-a0cd9ac59247/97536014611.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/f9fdea2d-aa2f-45dd-bc2d-26e70ca56ed3/world_soccer_championship_unblocked.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/2ae339d2-7f56-493c-bcb6-c0a487e80d90/arrival_2016_movie_download_in_hindi_480p.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/edfd1d68-7518-46b0-9cae-4b64cf81c26d/los_doce_sintomas_de_la_borrachera_seca.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/f1b18a99-87ce-48f9-8209-9cf86d8b44bc/31217345803.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0501/7934/2526/files/nidexidivawi.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/a85fc5f1-f22d-4a80-8fba-5fc8ccbf5ec3/kanunenoli.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
- http://dejavu.sourceforge.netIn PDF document text
- http://dejavu.sourceforge.net/wiki/index.php/LicenseIn PDF document text
Extracted artifacts 4
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off000059e2.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x59E2 | 5188 bytes |
SHA-256: 4776f679d3bef3622f629be6b864da6ece73080c19ea770ca54209113e4679b2 |
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font_01_sfnt_off00006baa.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6BAA | 2016 bytes |
SHA-256: 63f019dff5fa66ce254f8ec0f5ebdd5c99fc9b2aefd3036a46ce71f5faddaaf7 |
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font_02_sfnt_off00007502.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7502 | 11504 bytes |
SHA-256: bb9bf8c0f3cd256586f0c52e9a7387e0d3e1e1ebb7b3eb96ceb90d131877ffba |
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font_03_sfnt_off00009b1b.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9B1B | 16164 bytes |
SHA-256: f469c5aa689aa4c1965481b78cfaebbf1c3ebdad2306c7067134b7b4aaa0addd |
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