MALICIOUS
202
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
T1203 Exploitation for Client Execution
The PDF contains a link to a known malicious redirector, ttraff.ru, which is presented as a download button. This suggests a phishing or scam attempt to redirect users to malicious content. The ML classifier strongly indicates maliciousness, and the presence of a link farm further supports a malicious intent to drive traffic to potentially harmful sites.
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.ru/123?keyword=how+to+find+the+angle+between+two+vectors+calculator In PDF document text
- https://cdn-cms.f-static.net/uploads/4374956/normal_5f96cec995916.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4375076/normal_5f94525238e3f.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4369776/normal_5f8f93f1a0b65.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/1/0430/9060/8285/files/manual_de_quipux_2020.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0484/7887/9899/files/fakesugomadapisuma.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0496/6708/0356/files/piezoresistive_pressure_sensor.pdfIn PDF document text
- https://s3.amazonaws.com/sugaguxagu/14455046974.pdfIn PDF document text
- https://s3.amazonaws.com/vazisi/sugezogafiwobinasopamilox.pdfIn PDF document text
- https://s3.amazonaws.com/penale/28877555735.pdfIn PDF document text
- https://s3.amazonaws.com/putelekireza/autoria_y_participacion.pdfIn PDF document text
- https://s3.amazonaws.com/jamokaroxoj/compound_interest_formula_derivation.pdfIn PDF document text
- https://s3.amazonaws.com/zetare/99253621319.pdfIn PDF document text
- https://s3.amazonaws.com/fedufiporara/63587917807.pdfIn PDF document text
- https://s3.amazonaws.com/jamokaroxoj/questions_on_synonyms_and_antonyms.pdfIn PDF document text
- https://s3.amazonaws.com/gumagabu/51076692172.pdfIn PDF document text
- https://s3.amazonaws.com/jamokaroxoj/anatomy_of_digestive_tract.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/2897e1df-7b99-4330-94b7-79985dc31435/96665649207.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/b28e3955-6079-458f-a401-5e1a1891f2e7/93148316408.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/fa9c5a7d-18f1-476f-a2d7-f16b679e08b2/vobopidudokuris.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/6704e85c-6884-451e-be74-e1e79ae55e4d/vugaxekokexafimivemafus.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/ea2433d6-90c7-4b7f-b120-7088938e5faa/sivobawaxid.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_off00007d31.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7D31 | 5536 bytes |
SHA-256: 22a22aaa09fa1ea1e85c96eca780a8ba237db7ff74045cd0cf5e2065975b71ed |
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font_01_sfnt_off00009011.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9011 | 11108 bytes |
SHA-256: 2681fd5f798b14ca4476d8193b496c6fd6a6302e1d7c78906a54277e48489fa4 |
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