PDF malware analysis — malicious · 09d155fe4cad3ef8

MALICIOUS

PDF

41.9 KB Created: 2020-11-09 15:18:14 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-02

MD5: 7b7f11a1d79d7faf54b6c73e4439ebf1 SHA-1: d89df83ae92550d7787887fb286507d1b629e5e3 SHA-256: 09d155fe4cad3ef85576083d505d307eb2b27c21df9c18bb62b54cae466f037e

96 Risk Score

Malware Insights

MITRE ATT&CK

T1566.001 Spearphishing Attachment T1059.007 JavaScript

This PDF document was flagged as malicious by an ML classifier. The file embeds a large number of external links characteristic of an SEO link farm. Specific URLs and indicators for this sample are listed in the indicators section.

Machine Learning

Nyx PDF Classifier malicious score 1.0000

Heuristics 4

Small PDF contains mass external PDF link farm critical PDF_SEO_LINK_FARM

Small 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.
External URI info PDF_URI

PDF contains an external URL action
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://trafftec.ru/123?keyword=diane+arbus+the+twins PDF link annotation
- https://pisefipekopaz.weebly.com/uploads/1/3/4/4/134461515/bfab037.pdfIn PDF document text
- https://jederatikepu.weebly.com/uploads/1/3/4/3/134370591/vipetup-ziluleloje.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4365599/normal_5f8755935d104.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4393632/normal_5f940293cdcf9.pdfIn PDF document text
- https://suzokixuvajix.weebly.com/uploads/1/3/0/7/130776208/tasapori.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4410013/normal_5f938519c1ce7.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://s3.amazonaws.com/bokofapig/deductive_reasoning_in_research.pdfIn PDF document text
- https://s3.amazonaws.com/tometubufimopim/aldiko_ebook_reader_apk_for_kindle_fire.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/c6f42c5d-81f3-48ce-86da-30a60abc5fcc/fopovop.pdfIn PDF document text
- https://s3.amazonaws.com/xokebore/google_true_colors_personality_test.pdfIn PDF document text
- https://s3.amazonaws.com/duzexefemosaxe/waworoka.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 2

Files carved from inside the sample during analysis.

Filename	Kind	Source	Size
`font_00_sfnt_off000064d3.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x64D3	4972 bytes
SHA-256: `5766a7ba0022e763f9d38f028d2605201e4ce5414af4b38756594ba0c3f72114`
`font_01_sfnt_off000075ca.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x75CA	10960 bytes
SHA-256: `5d2b14098207c7e5e9182019d80095047bc2de95b7179694f410fd7c905d2043`

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