Malicious PDF — malware analysis report

Static analysis result for SHA-256 d7db5c01766aee54…

MALICIOUS

PDF

45.2 KB Created: 2020-11-04 09:05:48 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-02
MD5: fc188720d58d561323a79094ed71cfd9 SHA-1: d4b286af191fcea307fceaffa25e2f469229b86a SHA-256: d7db5c01766aee54ef7873e68c39370c46606989db213d5b64821caf57baedf2
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://gettraff.ru/aws?keyword=kissing+hand+worksheet In 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/67b3c355-33ba-41a9-b8c0-5c5caee806b7/sabuxabevipatunugazogupo.pdfIn PDF document text
    • https://s3.amazonaws.com/zidosozawok/fobunatifawinipejanujixun.pdfIn PDF document text
    • https://s3.amazonaws.com/nezanurugega/pupatirulobe.pdfIn PDF document text
    • https://s3.amazonaws.com/zirojopemup/timulowufidurobi.pdfIn PDF document text
    • https://s3.amazonaws.com/kexamoxusinixu/cdf_from_matlab.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/d2612345-a3ff-431d-87dd-0b4c9c2cb8d1/ninesepetuwoxorosa.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/f8b207e4-cbbc-46de-b4a4-a2b6f2d35aec/walmart_assessment_answers_2020.pdfIn PDF document text
    • https://s3.amazonaws.com/titugome/simabezipapij.pdfIn PDF document text
    • https://s3.amazonaws.com/subud/zetigujiku.pdfIn PDF document text
    • https://s3.amazonaws.com/welutizenop/yakuza_4_hostess_guide_maya.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_off00007055.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7055 5180 bytes
SHA-256: 255c4b64ce0ce0e7e468e1e9cf53e3a5af74923b059f9b653a0094fce2415cec
font_01_sfnt_off000081fe.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x81FE 11184 bytes
SHA-256: 1dc2fdf2e5e12ca6c101ad0c300e7d0f51849e51dcf07b49716cb00b3519efc3