MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
The PDF contains numerous links, many pointing to a redirector infrastructure associated with malicious activity. The document body and embedded links suggest a lure for users seeking a 'free download' of a PDF converter, which redirects to potentially harmful sites. The ML classifier also strongly indicated maliciousness.
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=online+web+page+to+pdf+converter+free+download In PDF document text
- http://files.friendsofmip.com/uploads/1/3/2/7/132740540/b2a1b2ce83eb7b6.pdfIn PDF document text
- http://files.galvestonbaycharterfishing.com/uploads/1/3/0/7/130775544/lunulibapijexep.pdfIn PDF document text
- http://jibepon.kcbakes.com/uploads/1/3/1/3/131384169/xumomilizevemew-kabopudonod-razaferawupadi-buvonamifu.pdfIn PDF document text
- http://files.kathleenorourke.com/uploads/1/3/1/0/131070500/moguzojibivirig_pabifelew.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/1/0431/7839/3764/files/heath_scientific_computing_solutions_manual.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/8526/7097/files/restaurant_manager_interview_questions_and_answers.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/9227/9445/files/rapport_de_stage_analyse_financiere_d_une_entreprise.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/9775/9643/files/setubeku.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/2230/3911/files/nilipukizoda.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/5842/1142/files/learn_javascript_the_hard_way.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/0300/1502/files/93476849607.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/3526/3138/files/jetelubezumemomixof.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/3414/0072/files/kaxorolopepifedoga.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/5724/8421/files/vajekulifaki.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/9963/4326/files/79592002487.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/2885/7503/files/71787570591.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_off00006790.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6790 | 5252 bytes |
SHA-256: 63ff2848c9a9a03ac48a485e5078b412d3357a45a2dd1d890b25d879d4eee282 |
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font_01_sfnt_off0000798c.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x798C | 10052 bytes |
SHA-256: 3017c31508597bd3611047dbb62c790b5c8e936e701b60f11915070653803745 |
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font_02_sfnt_off00009bf4.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9BF4 | 4324 bytes |
SHA-256: 1158d95dac44631f497756703988ba3645251422e7ff0015d3fca430225e7c3e |
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