Malicious PDF — malware analysis report

Static analysis result for SHA-256 249644afdfb6ff53…

MALICIOUS

PDF

41.9 KB Created: 2020-10-29 19:06:29 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-04
MD5: 17739451cef28eb675c43c8f08302dba SHA-1: d81d9613d999a25e9928111ca08d134bda1bf281 SHA-256: 249644afdfb6ff53d077a3b43fa638d9e519652443dfaf86d0bf7580b955c103
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.cc/123?keyword=energy+institute+high+school In PDF document text
    • https://cdn-cms.f-static.net/uploads/4391907/normal_5f8fe5b8e9328.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4388156/normal_5f95805d46941.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/kavitokolezub/56287868826.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/c11dc958-e3c7-46e5-ae40-53c5e98e218f/5431179838.pdfIn PDF document text
    • https://s3.amazonaws.com/zevutebulaworel/32687646846.pdfIn PDF document text
    • https://s3.amazonaws.com/fasanag/stretches_for_runner_s_knee.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0437/0392/6952/files/english_comprehension_for_grade_6.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/7ca1e32c-35e8-4da0-bb6e-b6b1d808bdcd/28268787520.pdfIn PDF document text
    • https://s3.amazonaws.com/tadovu/70387310013.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_off000066ff.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x66FF 4908 bytes
SHA-256: f029654d49f169e44aba46df75b266bb54042bd707a2ccc7b7a769c736c62054
font_01_sfnt_off000077c1.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x77C1 10464 bytes
SHA-256: e89c347c011d91a853f2efbdedb861952409a9fd5c493ba4e4a45cbf02e0fe38