MALICIOUS
126
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF file was detected as malicious by ClamAV and an ML classifier. It contains embedded URLs pointing to suspicious domains, including one identified as a link farm on disposable hosting. The document body, though partially corrupted, suggests a lure related to AI and machine learning to entice users to click on the malicious links.
Machine Learning
- Nyx PDF Classifier malicious score 0.9998
Heuristics 5
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ClamAV: Pdf.Phishing.Trojan-d2568dad23a94d95-d2568dad23a94d95-10044375-0 critical CLAMAV_DETECTIONClamAV detected this file as malware: Pdf.Phishing.Trojan-d2568dad23a94d95-d2568dad23a94d95-10044375-0
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Small PDF is a non-clustered link farm on disposable hosting medium PDF_SEO_DISPOSABLE_LINK_FARMSmall PDF contains many clickable external PDF links spread thin across many distinct hosts (no single dominant host), corroborated by a utm_term SEO-redirector link and/or links parked on free/disposable content hosts. This is the 'free document/template' SEO phishing PDF family, which ranks for search queries and routes users into payload/redirect chains, rather than a normal document citation pattern. The PDF itself carries no exploit — the risk is the linked destinations.
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External URI info PDF_URIPDF contains an external URL action
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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://ponafet.ru/123?utm_term=what+are+the+main+differences+between+artificial+intelligence+and+machine+learning PDF link annotation
- http://sivelural.mygamesonline.org/putexelizemopawifisotu.pdfIn PDF document text
- https://static.s123-cdn-static.com/uploads/4417313/normal_5fdda03623da9.pdfIn PDF document text
- https://cdn.sqhk.co/xufatirumina/aGhheMA/wuzobukozuvudevu.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4374700/normal_60255b32c6561.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4451047/normal_6030a1d54b0c9.pdfIn PDF document text
- https://static.s123-cdn-static.com/uploads/4407562/normal_5ff5176156ec6.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4447273/normal_6013e3dd43543.pdfIn PDF document text
- http://lobabinuladeri.medianewsonline.com/how_to_describe_the_moon_and_stars_came.pdfIn PDF document text
- http://medebupima.sportsontheweb.net/45115009453.pdfIn PDF document text
- http://zexaribamemavi.sportsontheweb.net/71801523105.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- http://suzokude.epizy.com/65072226279.pdfIn PDF document text
- http://nutujetis.rf.gd/23481532364.pdfIn PDF document text
- http://ramuzetajomi.rf.gd/mgma_physician_compensation_calculator.pdfIn PDF document text
- http://xovujizimubuki.epizy.com/72871495180.pdfIn PDF document text
- http://tudaditupuji.epizy.com/53964996786.pdfIn PDF document text
- http://gifibulilak.epizy.com/android_tv_box_minix_2018.pdfIn PDF document text
- http://pagiwufuvefukuf.epizy.com/gmat_test_full_form.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 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off0000fa16.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xFA16 | 5680 bytes |
SHA-256: 12cd3bc8c86952460b5a454ee771cab3dbf130a87fa5cc2791614d6df2f64042 |
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font_01_sfnt_off00010d50.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x10D50 | 2252 bytes |
SHA-256: 7accecb880c2b0fed565a62c5cae8b27c20057ab4a355afeda0aeb37332f7926 |
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font_02_sfnt_off000116b9.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x116B9 | 11128 bytes |
SHA-256: 099bf6f0ba2ddb3939460bc89f9d3c38a8eab9bf872b70afdce916cb2280d41b |
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