MALICIOUS
154
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
T1204.002 Malicious Link
The PDF contains a lure related to 'Apex legends not working' and embeds multiple links. One of these links, 'https://ttraff.club/wix?keyword=apex+legends++not+working', is identified as a malicious redirector. The PDF also contains a link farm pointing to numerous Shopify-hosted PDFs, suggesting an attempt to manipulate search engine results or distribute further malicious content. The ML classifier strongly flagged this PDF as malicious.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 4
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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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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.club/wix?keyword=apex+legends++not+working
- https://cdn.shopify.com/s/files/1/0432/6424/5925/files/junawarefaneresik.pdf
- https://cdn.shopify.com/s/files/1/0435/3510/6203/files/brainstem_auditory_evoked_potential.pdf
- https://cdn.shopify.com/s/files/1/0440/9176/8984/files/zidoli.pdf
- https://cdn.shopify.com/s/files/1/0428/5346/6271/files/47758576570.pdf
- https://cdn.shopify.com/s/files/1/0435/2134/3647/files/vosugo.pdf
- https://static.usrfiles.com/ugd/405339_a342707d81e5469bac426c2274872edf.pdf
- https://static.usrfiles.com/ugd/34e21e_04028b90e3984e89b24245c4a632de89.pdf
- https://static.usrfiles.com/ugd/b8c837_c5ccd4701b2d4f4f9a250e922d0e93c1.pdf
- https://static.usrfiles.com/ugd/8aba0c_563c96ea231b438a8bae90460e1ed0fe.pdf
- http://www.w3.org/1999/02/22-rdf-syntax-ns#
- http://purl.org/dc/elements/1.1/
- http://ns.adobe.com/pdf/1.3/
- http://ns.adobe.com/xap/1.0/
- http://ns.adobe.com/xap/1.0/mm/
- http://ns.adobe.com/xap/1.0/rights/
Extracted artifacts 2
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00006f1e.bin0e538e2a7544c96656971ceca73a2666823ad4744b2343240da74c3357accf8e |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6F1E | 5128 bytes |
font_01_sfnt_off000080bc.bind63cd37ff2606193990de25bd5e3ed595c9be5a0b8736f0946d363ac8cadc0ee |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x80BC | 10376 bytes |
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