PDF malware analysis — malicious · cd7da62157efa010

MALICIOUS

PDF

40.3 KB Created: 2020-10-05 22:40:21 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2026-06-19

MD5: ba8ab8f2a5c947fd0ee4f025d9513eb2 SHA-1: de06ae5d7c391c14d8310414b44416aee92818eb SHA-256: cd7da62157efa0100a7c01a276b7ef94b98f85ef10cec9940e784aaa8242d2a4

124 Risk Score

Machine Learning

Nyx PDF Classifier malicious score 1.0000

Heuristics 4

PDF links to known malicious redirector infrastructure critical PDF_MALICIOUS_REDIRECTOR_LINK

PDF 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.
Small PDF is a non-clustered link farm on disposable hosting medium PDF_SEO_DISPOSABLE_LINK_FARM

Small 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.
Object number defined twice with different bodies info PDF_DUPLICATE_OBJ_BODY_INCREMENTAL

The 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.
Embedded URL info EMBEDDED_URL

One 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://gettraff.ru/strik?keyword=mice+of+men+audiobook In PDF document text
- https://site-1036681.mozfiles.com/files/1036681/mabul.pdfIn PDF document text
- https://site-1036633.mozfiles.com/files/1036633/pukabosabudumege.pdfIn PDF document text
- https://site-1037111.mozfiles.com/files/1037111/zobagegofuf.pdfIn PDF document text
- https://site-1039698.mozfiles.com/files/1039698/10053144415.pdfIn PDF document text
- https://site-1036734.mozfiles.com/files/1036734/ganiwowa.pdfIn PDF document text
- https://site-1036945.mozfiles.com/files/1036945/96103746072.pdfIn PDF document text
- https://site-1039906.mozfiles.com/files/1039906/bemefasogofabu.pdfIn PDF document text
- https://site-1037856.mozfiles.com/files/1037856/89841156292.pdfIn PDF document text
- https://site-1038707.mozfiles.com/files/1038707/bubexoberafa.pdfIn PDF document text
- https://site-1044053.mozfiles.com/files/1044053/63857842399.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn 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_off00005f84.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x5F84	5068 bytes
SHA-256: `4ad3b6433601529a0cc5046eb64aef15814896d4e549009a25fad136511b7883`
`font_01_sfnt_off000070c4.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x70C4	10600 bytes
SHA-256: `845ce6aad3d9fca9489322b89139f4a5ae1e563f15f3437e0c5d778bbd1a8764`

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