Malicious PDF — malware analysis report

Static analysis result for SHA-256 1bc54466fea16d50…

MALICIOUS

PDF

49.5 KB Created: 2020-10-31 07:40:32 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-04
MD5: 6305aa450a9f502fec55de42e51183f7 SHA-1: 250e5e4c9bdcfa4af74a81fdad28e9f75360a431 SHA-256: 1bc54466fea16d50d6af959632cc316fe55bf2d854d0910462710a9bd42d570b
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://ttraff.link/123?keyword=hadoop+2+quick-start+guide+pdf+github In PDF document text
    • https://cdn-cms.f-static.net/uploads/4366367/normal_5f8c0112e411c.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4374835/normal_5f89f15b1f72c.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/vabedafozo/how_to_get_rid_of_roof_rats_in_yard.pdfIn PDF document text
    • https://s3.amazonaws.com/xovajukoxin/nogusofebilodaramowi.pdfIn PDF document text
    • https://s3.amazonaws.com/mizeteb/24499223869.pdfIn PDF document text
    • https://s3.amazonaws.com/zuxadol/jebukiralizit.pdfIn PDF document text
    • https://s3.amazonaws.com/muwemivumazulax/tutorial_blender_bahasa_indonesia.pdfIn PDF document text
    • https://s3.amazonaws.com/fojaxexino/banking_companies_act_1991.pdfIn PDF document text
    • https://s3.amazonaws.com/leguvefu/domaxafasuritovapumusef.pdfIn PDF document text
    • https://s3.amazonaws.com/kewuxejikiwe/pupujunorulut.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/b56e7fb9-23bd-4013-b52a-af0b5985a6a1/scary_games_unblocked_66.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_off000075fe.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x75FE 5840 bytes
SHA-256: 20fbade71c2a0df4fb6ae2970902734a7058491b4603686542a52c37545cf014
font_01_sfnt_off000089d7.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x89D7 14888 bytes
SHA-256: 77e983275adc9eddfad1877c4497fc96fb7d224a74e22c7fed97898166a0d605