PDF malware analysis — malicious · ef03f51e1a4c5629

MALICIOUS

PDF

35.9 KB Created: 2020-11-02 06:45:30 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)

MD5: f9e18346a49261078d3eb0c9a94ba2ee SHA-1: 13727885c2ed53a6a4ec65d0e7130774432d7f9a SHA-256: ef03f51e1a4c562956a76fcf9525596505d24c7ea52ccf3835f7525c0f87e7d2

154 Risk Score

Malware Insights

MITRE ATT&CK

T1566.001 Spearphishing Attachment T1059.007 JavaScript

The PDF contains a critical heuristic firing for linking to known malicious redirector infrastructure, specifically a URL disguised as a Google Docs sign-in page. It also exhibits characteristics of a PDF link farm, with numerous embedded links to external PDFs. The ML classifier strongly indicates maliciousness, supporting the conclusion that this document is designed to redirect users to a harmful site.

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://gettraff.ru/123?keyword=google+docs+cps+sign+in
- https://cdn-cms.f-static.net/uploads/4410714/normal_5f9f88fdca8e2.pdf
- https://cdn-cms.f-static.net/uploads/4422884/normal_5f96f678a9eb8.pdf
- https://cdn-cms.f-static.net/uploads/4378425/normal_5f909c932c99d.pdf
- http://www.ascendercorp.com/
- http://www.ascendercorp.com/typedesigners.html
- https://cdn.shopify.com/s/files/1/0437/9043/4455/files/voperitibuzigatazon.pdf
- https://uploads.strikinglycdn.com/files/681e96f8-6021-4810-84bf-6768617743fc/sabumagavonebejid.pdf
- https://s3.amazonaws.com/memul/12706410301.pdf
- https://uploads.strikinglycdn.com/files/07c37d6f-5cac-4ec4-9339-cfebbf873040/24089380622.pdf
- https://uploads.strikinglycdn.com/files/3f814270-48b4-4360-b771-acab93371da0/kiripopomuton.pdf
- https://s3.amazonaws.com/vonusirukete/penujof.pdf
- https://s3.amazonaws.com/pizivurapab/zikujen.pdf
- https://s3.amazonaws.com/henghuili-files2/dolufikufexobuj.pdf
- https://s3.amazonaws.com/gopuze/68931166670.pdf
- https://cdn.shopify.com/s/files/1/0504/4518/9310/files/whatsapp_read_receipts_group.pdf
- http://www.w3.org/1999/02/22-rdf-syntax-ns#
- http://purl.org/dc/elements/1.1/
- http://ns.adobe.com/pdf/1.3/
- http://ns.adobe.com/xap/1.0/
- http://ns.adobe.com/xap/1.0/mm/
- http://ns.adobe.com/xap/1.0/rights/
- http://scripts.sil.org/OFL

Extracted artifacts 2

Files carved from inside the sample during analysis.

Filename	Kind	Source	Size
`font_00_sfnt_off00004f99.bin` `88d6596f62008c8fc019031f8f0e0afe126ddb4256a650f7c9a65185faceb537`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x4F99	4968 bytes
`font_01_sfnt_off0000609e.bin` `76b3c60c1de35ae714672439978c751e233bc6c3c243c6f01cd8b3f230b42dae`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x609E	10124 bytes

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