MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1204.002 Malicious Link
The PDF contains embedded links that redirect to a known malicious URL, as indicated by the PDF_MALICIOUS_REDIRECTOR_LINK heuristic. The document body, though heavily obfuscated, contains text related to business plans and includes the malicious URL. The ML_NYX_PDF_MALICIOUS heuristic further supports the malicious classification. The PDF_SEO_LINK_FARM heuristic indicates a large number of external links, likely for SEO manipulation or to distribute the malicious payload.
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.com/pify?keyword=business+plan+template+powerpoint+pdf In PDF document text
- http://files.ehooverink.com/uploads/1/3/2/3/132303229/nuzenevovekof.pdfIn PDF document text
- http://files.qualityintl.net/uploads/1/3/1/3/131398188/gadubavovum_totupebiwi_dudig_vebipuwogaxu.pdfIn PDF document text
- http://files.fundamentalmed.com/uploads/1/3/1/4/131438234/samuwuja-pepuwunopaxafu-felazanaxuxak.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/1/0428/0185/6668/files/24459092344.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/4233/9992/files/72781440890.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/7446/1589/files/pogumixuparilowowale.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/8941/2767/files/gabafedavosilomeleval.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/0378/1015/files/74023253400.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/1311/8872/files/rorile.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/dilos.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/5351/3880/files/15333635788.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/1966/4540/files/aoac_moisture_determination.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/9613/8137/files/suwisitatixovegafetuviwo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/6546/6270/files/swellinfo_long_beach_ny.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_off00005fee.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5FEE | 5328 bytes |
SHA-256: 716c85d81e6483bec2444ce58bb1c322efc7807c8f0b30c724569edf3e26cbc9 |
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font_01_sfnt_off0000720b.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x720B | 10228 bytes |
SHA-256: e69e78f2be4e8b217fbc1706e88841d8b229f8339f88ca925024050817411343 |
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