MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
The PDF document contains a deceptive title related to workplace accident reporting, intended to trick users into clicking a link. This link, 'https://ttraff.com/pify?keyword=reporting+an+accident+at+work+procedures', is identified as a malicious redirector. The document also exhibits characteristics of a link farm, with numerous embedded URLs pointing to external PDF files, many hosted on Shopify. The ML classifier strongly flagged this PDF as malicious.
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=reporting+an+accident+at+work+procedures In PDF document text
- http://files.communication-works.ca/uploads/1/3/0/7/130776245/pemeluna-rulokofawaz-gejuka.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/1/0434/6694/8773/files/vamovivuzadosidagez.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/1825/5510/files/proxy_vote_form.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/1334/0312/files/89190795737.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/0564/8807/files/27106961505.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/9807/0435/files/zivafapixi.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/6043/6896/files/78958179723.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/7551/8107/files/migowegabumeradoja.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/9900/5863/files/89569456621.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/68876684382.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_off00005ae1.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5AE1 | 5372 bytes |
SHA-256: fcc6c47e08504c3b2d4dee9f4db4a782be787f55a7c7cbe0ada45a0e2dd0bfa6 |
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font_01_sfnt_off00006d4f.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6D4F | 10184 bytes |
SHA-256: f37a831c5732064348f874c0389efe3727092f2747f419b2345331a7aeb65024 |
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