MALICIOUS
202
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF contains multiple heuristics indicating malicious redirection and a link farm, including a critical finding for a PDF redirector link. The document body, though heavily obfuscated, contains a URL that matches the redirector found in the heuristics. This suggests the document is designed to trick users into visiting a malicious site, likely for phishing or malware distribution.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 6
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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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Visual download / call-to-action button lure low SE_DOWNLOAD_BUTTONDocument contains a call-to-action phrase ('Click here to download', 'Download Now', etc.) — low-signal unless other findings point to a malicious workflow
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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.cc/pify?keyword=installare+android+studio+su+linux+mint In PDF document text
- http://nutoged.bakerycreationsbykeri.com/uploads/1/3/0/7/130739561/d0ff11.pdfIn PDF document text
- http://files.emmazen.com/uploads/1/3/1/3/131381480/juviwoferuxo_tusosuj_dibarugi_mekipamave.pdfIn PDF document text
- http://bezini.jfrancoist-shirtsdesigns.com/uploads/1/3/0/8/130813780/forom.pdfIn PDF document text
- http://files.centerforessayexcellence.com/uploads/1/3/2/6/132681877/xuvaseva-tuxuti.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- http://www.daltonmaag.com/In PDF document text
- https://cdn.shopify.com/s/files/1/0434/4345/4102/files/usmle_biostatistics_and_epidemiology.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/5401/3336/files/95230405501.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/6420/5216/files/scope_statement_in_project_management.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/9567/0427/files/1000_bible_study_outlines.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/0621/4819/files/model_aida_reklama.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/3156/8290/files/56742096599.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/dogudanivivakow.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/5156/4707/files/merit_amharic_english_dictionary.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/0669/7367/files/88333375879.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 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00005f14.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5F14 | 4860 bytes |
SHA-256: 6f184e937c3136bc1728c7ee14065cc31bb3a7df81a8c87c18fda9ea2d84a298 |
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font_01_sfnt_off00006f71.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6F71 | 10748 bytes |
SHA-256: 1b4e3480a078418d70a37a16e42aa3ba543651382a0e2720cb136a750ff70d97 |
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font_02_sfnt_off00009418.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9418 | 4324 bytes |
SHA-256: a542ec26cea93e049a2e27cd59b1347dd9bbdea13775fd7b822b3c2b3136116f |
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