MALICIOUS
186
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
This PDF file was detected as malicious by ClamAV and an ML classifier, indicating a high likelihood of malicious intent. The heuristics reveal it functions as a link farm, containing numerous external URLs, with one prominent URL being `https://pelibifir.ru/aws?utm_term=georgia+tech+online+master%2527s+electrical+engineering`. The presence of embedded URLs and the PDF structure suggest it is designed to redirect users to potentially harmful sites, possibly for phishing or malware distribution.
Machine Learning
- Nyx PDF Classifier malicious score 0.9986
Heuristics 6
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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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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://pelibifir.ru/aws?utm_term=georgia+tech+online+master%2527s+electrical+engineering
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Extracted artifacts 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00013508.binec14fd0966d512cc0dd341ab96801766406bad8f47ef9fbbde92b9e306f484ab |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x13508 | 5064 bytes |
font_01_sfnt_off00014617.bin6bdb79c84f97aa69e08fd7fdd652afde3d36c181ef00b10d66c7d40cdd6c0368 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x14617 | 11040 bytes |
font_02_sfnt_off00016be2.bin05d2457133b820fa77aa358e30e9acfbad3f04c46ced9a37296d9311117db176 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x16BE2 | 4324 bytes |
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