Malicious PDF — malware analysis report

Static analysis result for SHA-256 fd265e0e5031dc31…

MALICIOUS

PDF

33.0 KB Created: 2020-11-02 21:36:23 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-04
MD5: b8a7b01d6a0b02710026b4e165dec505 SHA-1: e4f9c1ef0755f91e380737dfe3df16c3235aa2c8 SHA-256: fd265e0e5031dc3113bd80c200c6b364921d960f0ddede5a1ae27018c4108e1d
94 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 routes users through malicious redirector infrastructure. Specific URLs and indicators for this sample are listed in the indicators section.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 3

  • 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.
  • 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://ggtraff.ru/aws?keyword=marine+biology+module+11+study+guide In PDF document text
    • https://tumovapexawezan.weebly.com/uploads/1/3/1/3/131398362/pewisixeku.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365628/normal_5f89ef9b68e74.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4380080/normal_5f8ce5c066506.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4424025/normal_5f9e9d0ae812c.pdfIn PDF document text
    • https://nubojubixuxo.weebly.com/uploads/1/3/1/4/131410311/ee41066b.pdfIn PDF document text
    • https://letitunonagafi.weebly.com/uploads/1/3/4/4/134494227/513fd.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4374956/normal_5f8cab701731d.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://uploads.strikinglycdn.com/files/2e85e91f-54dc-4720-8ff9-e7573a54dab8/20226973593.pdfIn PDF document text
    • https://s3.amazonaws.com/zikeko/skylight_paycard_enrollment.pdfIn PDF document text
    • https://s3.amazonaws.com/vunizi/70034833413.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.

FilenameKindSourceSize
font_00_sfnt_off000043b8.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x43B8 5444 bytes
SHA-256: 8b447d7864b7021a8f412b9a4301f1314f49d4268728182612b4e6f397dbf213
font_01_sfnt_off00005634.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x5634 9824 bytes
SHA-256: cea7eacece7e8c28df59cc1c400e9f861d8c2967dd3b21822ca73d9c74825fc9