PDF malware analysis — malicious · e145fc0135166228

MALICIOUS

PDF

46.4 KB Created: 2020-10-21 20:01:01 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2020-12-28

MD5: df64b2bc2035c2ef1182ebb54579190a SHA-1: e763d7a75fcc442d6f09515c50023493c7eead33 SHA-256: e145fc01351662285163f17b43248720356416a8c9db6a9243258bdc21806bd1

154 Risk Score

Malware Insights

MITRE ATT&CK

T1566.001 Spearphishing Attachment T1059.007 JavaScript

This PDF document contains a link farm designed to redirect users to malicious infrastructure, specifically targeting searches for "saunders nclex latest edition pdf". The ML classifier strongly indicated maliciousness, and the PDF_MALICIOUS_REDIRECTOR_LINK heuristic confirms the presence of a link to known malicious redirector infrastructure. While no scripts were explicitly extracted, the document's structure and embedded URLs suggest an attempt to lead users to potentially harmful content, likely as part of a phishing or scam campaign.

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 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.
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://cctraff.ru/pify?keyword=saunders+nclex+latest+edition+pdf In PDF document text
- https://cdn-cms.f-static.net/uploads/4376120/normal_5f8e3a23d2c1a.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4369511/normal_5f8f40ea5106b.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4366969/normal_5f872b3d3ba99.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4367927/normal_5f878362e29e5.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- http://www.daltonmaag.com/In PDF document text
- https://uploads.strikinglycdn.com/files/00f57036-9348-4752-babc-4ca0fcad1cd1/fafomalazenarijej.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/832b93eb-03c3-4ef5-bee7-b88bc87c8be0/razejijojoxez.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/a4667bfb-e337-486b-bf17-a1077b7b9fcb/sopiges.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/ad09cff9-5576-4303-b4f3-f5a36f70248d/59319522884.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/5b8afba4-c3b2-4ded-a05f-cb6e5368cd23/bubizufamenefodiker.pdfIn PDF document text
- https://s3.amazonaws.com/kavitokolezub/87568678884.pdfIn PDF document text
- https://s3.amazonaws.com/zetare/5th_grade_reading_diagnostic_assessment.pdfIn PDF document text
- https://s3.amazonaws.com/subud/31090655128.pdfIn PDF document text
- https://s3.amazonaws.com/henghuili-files/tegurekividewito.pdfIn PDF document text
- https://s3.amazonaws.com/fasanag/adverb_and_adjective_exercises_with_answers.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0502/1076/7017/files/cambridge_primary_english_learners_book_1.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/5575/0049/files/26351458959.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/7612/2779/files/sovebolikaxekub.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0478/0651/3311/files/nantucket_cranberry_pie_gourmet_magazine.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/4101/4438/files/65883755732.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/1409/3986/files/bus_evacuation_drill_video.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0496/0894/9909/files/realidades_2_prueba_7a-2_answers.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0481/9756/6616/files/alpiste_para_consumo_humano.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_off00006739.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x6739	5204 bytes
SHA-256: `7936fb749375841c655f03e3a267c7d285e0ba2c32291bbfafc4d779fddd9821`
`font_01_sfnt_off000078ec.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x78EC	10508 bytes
SHA-256: `fd98402d8c871e93d742f5b534eb263dce1ea936173c3d862314d81419bee88c`
`font_02_sfnt_off00009cb0.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x9CB0	4324 bytes
SHA-256: `4fcfa7c68d76e23b667942a3ac892d2d5d88346478daafc61479ad4df4af3dd3`

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