MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1204.002 Malicious Link
The PDF contains numerous embedded links, with one identified as a malicious redirector (ttraff.ru). The ML classifier strongly flagged this PDF as malicious. The presence of a large number of external links, many pointing to Shopify-hosted PDFs, suggests a link farm or SEO poisoning tactic to lure victims. The document body contains garbled text but includes the malicious redirector URL and a benign-looking PDF filename, reinforcing the redirection attack pattern.
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=bgp+pdf+router+alley In PDF document text
- http://files.makinghairsmile.com/uploads/1/3/1/4/131438557/jitukire.pdfIn PDF document text
- http://files.thinkerslodgehistories.com/uploads/1/3/0/7/130738566/wobijibajefun_dotor_tonirufojutejiz_daxik.pdfIn PDF document text
- http://files.aauindiana.com/uploads/1/3/1/6/131637362/vaben.pdfIn PDF document text
- http://files.madeinoak.com/uploads/1/3/2/7/132712661/sigilufux-fezemibapamo-voviwe.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/1/0429/9633/4753/files/electronic_principles.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/5313/7576/files/zopejedorexosel.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/7016/7967/files/how_to_exit_nano.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/3901/4562/files/wasugup.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/2007/4663/files/mewikerimogaj.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/5644/7136/files/anaerobic_digester_design_calculations.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/4724/7263/files/caderno_caligrafia_para_imprimir.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/1955/0370/files/zazitademusi.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/5679/0695/files/25465446654.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/7985/1414/files/44118272899.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/0599/1322/files/tim_bolen_report.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/2794/5889/files/ubuntu_l2tp_server.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/6533/6217/files/online_buying_behaviour.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/3406/7615/files/77020719383.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_off00006773.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6773 | 5184 bytes |
SHA-256: bbe9394ad4270fceee6f0c2e536675c7f8308b59c0e27726c49da4d7cca63433 |
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font_01_sfnt_off0000793a.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x793A | 15020 bytes |
SHA-256: b53c9692e9b5d9247af9ec3cb77122f866c1a7f3ac99403b240c59e2fbb2d3c6 |
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