Malicious PDF — malware analysis report

Static analysis result for SHA-256 1d9607c18975e475…

MALICIOUS

PDF

52.5 KB Created: 2020-11-07 07:19:47 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-04
MD5: ec253348961f2e70f519535cd6164b83 SHA-1: d1bd67ca860e210f02d9b6411b1b59d140383f07 SHA-256: 1d9607c18975e47535dbe1103bb1f0e5e260a3b9908f260032329c12dba46302
194 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment T1059.007 JavaScript T1203 Exploitation for Client Execution

The PDF contains multiple embedded URLs, with one identified as a malicious redirector. The 'SE_CLICKFIX' heuristic indicates social engineering designed to trick the user into executing a command, likely to download and run a payload from one of the provided links. The ML classifier strongly supports the malicious nature of this PDF.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 5

  • 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.
  • ClickFix social engineering attack high SE_CLICKFIX
    Document instructs the user to press Win+R or paste a command into a terminal — consistent with ClickFix attacks that bypass macro restrictions by tricking users into running malicious commands directly
  • 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://traffmen.ru/aws?keyword=install+oculus+rift+on+different+hard+drive In PDF document text
    • https://cdn-cms.f-static.net/uploads/4382003/normal_5f8cab3c8b9cf.pdfIn PDF document text
    • https://litazivufili.weebly.com/uploads/1/3/4/3/134305244/jikopugurujigopuv.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4390373/normal_5f93b896ba524.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4418791/normal_5f964bdf04682.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4394082/normal_5f96a666016f0.pdfIn PDF document text
    • https://jebowevut.weebly.com/uploads/1/3/4/4/134493782/90e5ca5.pdfIn PDF document text
    • https://relogeseji.weebly.com/uploads/1/3/0/7/130739887/5377226.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4376125/normal_5f9e46d90de35.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/da10de67-509f-4c98-9427-55c5302f98af/1146793050.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/cf24115b-9028-4988-af21-8f6c69b80bf8/minecraft_korku_maplar_1.7.2.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/64457cef-b4de-4996-b813-9d533bcdabf8/kimimo.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/a43178c6-9e6e-402b-8e7e-79afe83bb1b1/wokamosedowitase.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/67c96204-805b-4249-8bbf-ee106d80e815/timakabidaboravejaniv.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/35221c09-c400-47ed-b285-f6e68df76098/count_paris_polite_character_traits.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.

FilenameKindSourceSize
font_00_sfnt_off00007ee6.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7EE6 4988 bytes
SHA-256: c84a6ff175f8d6815b8dee973f54384cb15d4fc28ae526ceb091daa307d1bfa4
font_01_sfnt_off00008fcc.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x8FCC 10992 bytes
SHA-256: 99250d24735efc7fa2a88bf9eac99046bfc713c1c688371b82cee4d922be2214
font_02_sfnt_off0000b53a.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xB53A 4324 bytes
SHA-256: 4fcfa7c68d76e23b667942a3ac892d2d5d88346478daafc61479ad4df4af3dd3