Malicious PDF — malware analysis report

Static analysis result for SHA-256 9c357c371220d694…

MALICIOUS

PDF

74.5 KB Created: 2021-04-22 00:04:58 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-08-25
MD5: 51564cf7867a700211737869f8fee25a SHA-1: dce25dacb01413f6378f1aa720a8c684bef07282 SHA-256: 9c357c371220d694d1a3d8417de83690ab2baeb6c54a7563b9b5728b9ac705b3
74 Risk Score
Tags
free-cdn-ebook-manual-lure

Malware Insights

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

The PDF document contains embedded URLs and is flagged by a machine learning classifier as malicious. The presence of invoice or payment language suggests a lure to trick users into clicking the external URI, likely leading to a malicious download or exploit. No scripts were extracted, but the document structure and ML detection strongly indicate malicious intent.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9998

Heuristics 5

  • Small PDF is a non-clustered link farm on disposable hosting medium PDF_SEO_DISPOSABLE_LINK_FARM
    Small PDF contains many clickable external PDF links spread thin across many distinct hosts (no single dominant host), corroborated by a utm_term SEO-redirector link and/or links parked on free/disposable content hosts. This is the 'free document/template' SEO phishing PDF family, which ranks for search queries and routes users into payload/redirect chains, rather than a normal document citation pattern. The PDF itself carries no exploit — the risk is the linked destinations.
  • Fake invoice / payment lure low SE_INVOICE_LURE
    Document contains invoice or payment language paired with an action verb — useful context when combined with link, macro, or attachment indicators
  • External URI info PDF_URI
    PDF contains an external URL action
  • 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://fokemale.ru/strik?utm_term=what+is+confirmation+charges+letter+of+credit PDF link annotation
    • https://cdn-cms.f-static.net/uploads/4421940/normal_606b109414a26.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366033/normal_601df81d5f9a8.pdfIn PDF document text
    • http://zigorukap.iblogger.org/periodic_table_with_polyatomic_ions.pdfIn PDF document text
    • https://static.s123-cdn-static.com/uploads/4374957/normal_5ff9089d999d9.pdfIn PDF document text
    • https://cdn.sqhk.co/tatudawo/Tijczvh/vawinobakam.pdfIn PDF document text
    • https://cdn.sqhk.co/zezerixuwab/lG9jhM8/vufoliwujutibikejakogu.pdfIn PDF document text
    • https://static.s123-cdn-static.com/uploads/4369506/normal_5fc6925d5c2a9.pdfIn PDF document text
    • https://cdn.sqhk.co/divojimo/1icqOoI/unleash_the_archers_explorers_bandcamp.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4383295/normal_606b7a2f9af3b.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/nitirew/lolojigunojabenof.pdfIn PDF document text
    • https://s3.amazonaws.com/jepinebawo/56311964087.pdfIn PDF document text
    • https://6e37e838-c278-4d46-baa9-25b8497af200.filesusr.com/ugd/fbcb80_b8eed90eeae943b6b5ef3cbbb80d2fe3.pdf?index=trueIn PDF document text
    • http://fopopas.epizy.com/zefovazinabejaw.pdfIn PDF document text
    • https://s3.amazonaws.com/vixuwogetiv/example_answers_behavioral_based_interview_questions.pdfIn PDF document text
    • http://jilevatawew.epizy.com/airbrush_apk_pro.pdfIn PDF document text
    • https://2ae8fa2d-8b21-4cd7-bd94-b44763fb9b4d.filesusr.com/ugd/8e1ec7_57b6cfea64d646f886101756625da3ad.pdf?index=trueIn PDF document text
    • https://413f70bc-0247-4a04-a3fc-eabb14e2b93f.filesusr.com/ugd/f18ee6_e48431138d6e49db93528a12022c28d8.pdf?index=trueIn 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

Related samples 8

Ranked by shared artifacts, heuristics, extracted URLs, CVEs, and signatures.

Full JSON: related samples API

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off0000e498.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xE498 5448 bytes
SHA-256: 096cf354b917adad9e260dd955e2782de3259a91b1240a4d26e15ae73223205d
font_01_sfnt_off0000f6fd.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xF6FD 10896 bytes
SHA-256: fdaeb559c64a6bdfabe86527a35932faa6ec7a7c97e8796c0dd5ec0812a559d2

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