MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
This PDF file contains numerous embedded links, many of which point to a known malicious redirector infrastructure. The document body, though heavily obfuscated, contains text related to 'Leetcode word break' and a URL that appears to be part of a link farm designed to attract traffic. The ML classifier strongly indicated maliciousness, and the presence of a malicious redirector URL suggests an attempt to lead users to a phishing or malware distribution site.
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=leetcode+word+break In PDF document text
- http://files.ballenislessgc.com/uploads/1/3/1/8/131858287/mumujikituxaxex-buletabilosugo-magujeze-zitizakenisok.pdfIn PDF document text
- http://files.msfoster.net/uploads/1/3/2/6/132681880/3223503.pdfIn PDF document text
- http://files.greaterheightsfellowship.org/uploads/1/3/2/6/132682585/vogufude.pdfIn PDF document text
- http://files.oakleystables.ca/uploads/1/3/0/7/130776166/8770535.pdfIn PDF document text
- http://files.bberidesserts.com/uploads/1/3/0/7/130775249/tiripapurop.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/1/0437/7300/1877/files/74139266941.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/5376/0162/files/xikerorezenibifa.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/5896/1320/files/95673904631.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/9622/5432/files/xefuzanapoxorun.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/1781/3661/files/55058822715.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9835/8432/files/5578033559.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/0083/9841/files/2264992200.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/1926/3397/files/96729161650.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/2260/4695/files/kedimot.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/4058/7431/files/30835368622.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/8044/0215/files/losazononoxupi.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/7122/6534/files/subaru_forester_2014_owners_manual.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/0948/1624/files/29939845323.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/8068/6491/files/molar.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_off00005f7f.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5F7F | 4960 bytes |
SHA-256: 64ca7824b6ecb7c94c4401015c1aa632e0a5759c5d187752c0df66a4ae56eddb |
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font_01_sfnt_off00007084.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7084 | 14660 bytes |
SHA-256: 17e1692418b18cc1052ba98d13302979c3d9f0ce7ed096903507801bad370e29 |
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