MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
T1204.002 Malicious Link
The PDF document contains a large number of embedded links, many of which point to Shopify domains hosting other PDFs, suggesting a link farm for SEO poisoning. One critical heuristic identified a link to a known malicious redirector, ttraff.com, which is presented in the document body as a resume cover letter template. This indicates a social engineering lure to drive traffic to malicious infrastructure.
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=resume+cover+letter+template+word In PDF document text
- http://files.windowreplacementframingham.com/uploads/1/3/0/8/130874582/jiropa_nulikit.pdfIn PDF document text
- http://files.safe-t-systems.net/uploads/1/3/1/8/131856247/sesaz.pdfIn PDF document text
- http://files.integratedpracticemodel.com/uploads/1/3/1/3/131379290/3bb5cf520c29df.pdfIn PDF document text
- http://zezatiz.anseasternwashington.org/uploads/1/3/1/4/131437987/xudasek.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/1/0436/6031/2741/files/rorajamiduxuwovasa.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/2514/5760/files/47437050072.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/0797/5335/files/6061318514.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/2862/8124/files/exemple_de_cahier_de_charge_d_un_projet_de_construction.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/6766/9654/files/tugibo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/3156/8290/files/comunicazione_assertiva.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/7417/4632/files/gulazawunagikururoborom.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/8596/9046/files/82258652306.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/6893/2767/files/zikup.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/8660/1635/files/vunuvijogikibanov.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/5624/2581/files/64893250723.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/0951/5415/files/78399376315.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_off000063ce.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x63CE | 5104 bytes |
SHA-256: f48fa3f6196a09fdfbf0244110a410a2ee5c383fc61a7ecae33a24141f639bb6 |
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font_01_sfnt_off00007544.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7544 | 9960 bytes |
SHA-256: 6a6746c071221b86d1494e38acfa2e0535a853a0342cb7e116a02b1691dde453 |
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font_02_sfnt_off00009744.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9744 | 4324 bytes |
SHA-256: 0d0f64e27578eb124b8bc81c7eceacdd166e22eddd95c81328e9fbd7de2a6333 |
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