MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1204.002 Malicious Link
The PDF contains a critical heuristic firing for a malicious redirector link pointing to 'https://ttraff.ru/wix?keyword=python+reinforcement+learning+projects+pdf'. Additionally, it exhibits characteristics of a PDF link farm, with numerous external links, many hosted on 'static.usrfiles.com'. The ML classifier also strongly flagged this PDF as malicious. The primary attack pattern involves luring users to a malicious site via a deceptive link within the document.
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/wix?keyword=python+reinforcement+learning+projects+pdf In 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://static.usrfiles.com/ugd/b8c837_200f364c922e45bb91bc11556e7d4c61.pdfIn PDF document text
- https://static.usrfiles.com/ugd/b8c837_1be7567c9bab474b8c254b8445c7b897.pdfIn PDF document text
- https://static.usrfiles.com/ugd/b8c837_273db06355834ebeb9bc3451295e22a3.pdfIn PDF document text
- https://static.usrfiles.com/ugd/b8c837_91bf990c28404a6b84c79293ed3236f0.pdfIn PDF document text
- https://static.usrfiles.com/ugd/b8c837_b958c538669c433694a6e0ba5b6d0c14.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/4141/4552/files/rifuf.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/0802/4985/files/nubakusudulanagibef.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/3972/7509/files/goludat.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/1617/4237/files/free_spreadsheet_programs_for_macbook.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0808/9509/files/critical_thinking_worksheets_for_adults.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0465/0355/9320/files/puvuwisifom.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/5460/4198/files/seloxujebobeke.pdfIn PDF document text
- https://static.usrfiles.com/ugd/b8c837_8ddc04b3d3224c8b907a8014768819ca.pdfIn PDF document text
- https://static.usrfiles.com/ugd/b8c837_415bde64a0bc42d9af62f05bd185224d.pdfIn PDF document text
- https://static.usrfiles.com/ugd/b8c837_725656b0a7a34cee9ba910416be135d2.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
🗂 Part of campaign:
cls-asia.net
3 samples
Extracted artifacts 4
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00007110.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7110 | 5536 bytes |
SHA-256: 485c91206556c3b6d5baaa324ac86ddc1d34ef4ada4f32085a7c07342b4e9afd |
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font_01_sfnt_off000083b0.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x83B0 | 1952 bytes |
SHA-256: 157a80d2d50088e36b2a5e1071e60f2fe9e71d3118812aed6f9bb3bc0a03b7b0 |
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font_02_sfnt_off00008d11.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8D11 | 15384 bytes |
SHA-256: 5cd21ad8548ac489f0f389037b3efa65f0e606c6e7965117a94481a16700c6ca |
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font_03_sfnt_off0000bc65.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xBC65 | 4324 bytes |
SHA-256: ff5f0ef16caf3e97cd1984b3a03ea88e11eab8cf63d2ee006085a4b9995833f3 |
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