MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF contains numerous links designed to create a link farm, with a primary malicious redirector identified. The document body, though heavily obfuscated, contains a URL that matches the malicious redirector found in the heuristics. This suggests the document's purpose is to drive traffic to malicious infrastructure, likely for phishing or malware distribution.
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=baron+emotional+quotient+inventory+pdf In PDF document text
- http://files.newencores.com/uploads/1/3/0/8/130814666/lasufejikidij_rewofa_wowamixo_dimomifomope.pdfIn PDF document text
- http://files.sfalumnimajorette.com/uploads/1/3/0/7/130776589/vamewobe.pdfIn PDF document text
- http://files.kincardinecheetahs.ca/uploads/1/3/2/6/132681342/bb6b9b1f6e3a498.pdfIn PDF document text
- http://files.makemeupga.com/uploads/1/3/2/7/132740637/5315506.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/1/0432/3803/1518/files/57146087808.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/7506/7297/files/8477311716.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/5018/0512/files/78483694164.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/7153/6285/files/58038543248.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/9143/5422/files/gijuvapumexasim.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/2322/0392/files/catia_tutorial_for_beginners.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/1065/3338/files/65465713000.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/7225/7181/files/webm_to_gifs.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/8544/7833/files/3142220352.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/8365/3535/files/69071025690.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/3217/2951/files/artificial_intelligence_and_expert_system_tutorial.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/7116/8931/files/19859003150.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_off00017228.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x17228 | 5228 bytes |
SHA-256: 047f94d10117ac25e8df291352fedbe6612c39a8d55a4d3c8fe7f0a89a9c081b |
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font_01_sfnt_off000183e0.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x183E0 | 11012 bytes |
SHA-256: 560d009bab329ee23b54dd0d2846c788efac04f00f1c35bd5b6540391669d8a2 |
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font_02_sfnt_off0001a8a4.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x1A8A4 | 4324 bytes |
SHA-256: 05d2457133b820fa77aa358e30e9acfbad3f04c46ced9a37296d9311117db176 |
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