MALICIOUS
214
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
T1203 Exploitation for Client Execution
The PDF contains multiple embedded links, with a primary redirector URL pointing to a known malicious infrastructure. The document body and heuristics indicate a lure to "PDF to Word" conversion, suggesting a phishing or malware distribution attempt. The ML classifier strongly supports the malicious verdict, and the presence of numerous external links points to a link farm or SEO manipulation tactic.
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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Macro/content-enable lure medium SE_ENABLE_LUREDocument instructs the user to enable macros or editing — a common technique used by malware droppers to bypass Office macro security settings
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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=pdf+to+word+macro In PDF document text
- http://files.metaphorboutique.com/uploads/1/3/1/4/131454883/4846898.pdfIn PDF document text
- http://files.stseachnalls.ie/uploads/1/3/0/7/130739315/1250517.pdfIn PDF document text
- http://files.bskyfitness.com/uploads/1/3/1/3/131381450/tipej.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/1/0431/5725/8395/files/boxoxujivig.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/7110/3395/files/agile_project_management_book.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/3319/6706/files/cataloging_and_classification_an_introduction.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/6310/8003/files/carnet_de_sante_france.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/6154/2054/files/42738968112.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/4296/3613/files/75139496445.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/3708/2271/files/avery._com_templates_5163.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/6924/3553/files/sawujosasixuniguwiguxebut.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/7794/9848/files/carmel_by_the_sea_map.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/6749/8911/files/mezidinobejoralute.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/6640/9639/files/guwugugunalasebegiv.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/9482/6405/files/webus.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_off00006550.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6550 | 4568 bytes |
SHA-256: 648ea070b65055b267d7c904031fe77374d6d40cdc77beaf7b22ac9e7c10cf45 |
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font_01_sfnt_off000074d0.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x74D0 | 9860 bytes |
SHA-256: 1ab08def4828b0f38e9dbe062c32982a96780752a14d0b51ff3fc65ca2a44bb3 |
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font_02_sfnt_off00009690.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9690 | 4324 bytes |
SHA-256: b50a2106bf82917db0cd3cf88f63c5e8cc3298b343ace5cffc591b35df33d24c |
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