MALICIOUS
158
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1204.002 Malicious Link
This PDF file contains embedded JavaScript and a critical heuristic firing for a malicious redirector link. The document body, though partially corrupted, contains text referencing 'Vidmate app old version 2014' and the malicious URL. The primary attack vector appears to be a social engineering lure directing users to a malicious site via the provided link, likely for further exploitation or malware delivery. The ML classifier also strongly indicated maliciousness.
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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Embedded JS stream low PDF_JSPDF references a /JS stream. Generic JavaScript is common in benign forms; specific dangerous APIs are scored by separate rules.
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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=vidmate+app+old+version++2014
- http://files.wildgears.com/uploads/1/3/1/0/131070590/3241289.pdf
- http://pitagaziv.jamcolpromotionalproducts.net/uploads/1/3/1/4/131483167/vutizobige.pdf
- https://cdn.shopify.com/s/files/1/0466/5924/0101/files/guzexadurodu.pdf
- https://cdn.shopify.com/s/files/1/0433/7182/3262/files/trusteer_rapport_for_ipad.pdf
- https://cdn.shopify.com/s/files/1/0431/2186/8960/files/60053927730.pdf
- https://cdn.shopify.com/s/files/1/0436/4029/1486/files/social_media_addiction_questionnaire.pdf
- https://cdn.shopify.com/s/files/1/0428/6355/8815/files/juvutijat.pdf
- https://cdn.shopify.com/s/files/1/0431/5627/5362/files/vernier_caliper_sinhala.pdf
- https://cdn.shopify.com/s/files/1/0432/1551/9912/files/luwapebegixabijinaxej.pdf
- https://cdn.shopify.com/s/files/1/0427/7446/2631/files/mechanical_engineering_drawing_symbols_free_download.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 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00005e0d.binb332ef5f4de91b310724eff25eb3a5b920086993503f39c928fde5ce4c0c2369 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5E0D | 5332 bytes |
font_01_sfnt_off0000701a.bindde1edc8a5b30cd942d29443714f80f549b41eb67c56e4c410bbf1632c05996a |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x701A | 9904 bytes |
font_02_sfnt_off00009166.bin05d2457133b820fa77aa358e30e9acfbad3f04c46ced9a37296d9311117db176 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9166 | 4324 bytes |
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