MALICIOUS
202
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF contains multiple heuristics indicating malicious intent, including links to a known malicious redirector and a large number of external PDF links, suggesting a link farm for SEO manipulation or phishing. The ML classifier also strongly flagged this PDF. The document body contains a URL that appears to be a lure for downloading content, which is consistent with a phishing or malware distribution attempt.
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.com/pify?keyword=cat+syllabus+2020+pdf+download In PDF document text
- http://files.kaylaschmidt.com/uploads/1/3/0/7/130776826/lisigapiresa.pdfIn PDF document text
- http://files.villageofashleycountrychristmas.net/uploads/1/3/1/6/131637240/cef77f20.pdfIn PDF document text
- http://files.invictainstitute.com/uploads/1/3/0/9/130969204/riresaravow-kunorugabiwemu-dakajepixuwofon.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/1/0435/0961/2712/files/medicare_dmerc_fee_schedule.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/0131/5491/files/60532505204.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/4731/3827/files/luruwejoraruxovevetamajo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/1824/8601/files/siwadewoviw.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0443/5791/0684/files/emacs_python_ide.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/0280/5921/files/mejika.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/8929/7568/files/aboriginal_map_of_western_australia.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/1080/8216/files/kofetufejamebaripemidowol.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/3692/5342/files/vehicle_lifting_points.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/2261/3669/files/xukupenipazat.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_off00006c45.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6C45 | 5452 bytes |
SHA-256: bbe2f851e654a96a4c350d867e5f9702e187636a01fc6d4b4f0d19b14c0da415 |
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font_01_sfnt_off00007ef3.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7EF3 | 10376 bytes |
SHA-256: a8e31e3fdd1b7c9f318f30b990de40b83be64a874e1417fc29859dc855c0936e |
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