Malicious PDF — malware analysis report

Static analysis result for SHA-256 5bdd24a161a17a6e…

MALICIOUS

PDF

46.9 KB Created: 2020-10-22 12:16:07 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2020-12-25
MD5: 0889fc8b3ae420270bc6d0fd431db537 SHA-1: 174fedee808c8026c6fa68a745df44f746b4b7ae SHA-256: 5bdd24a161a17a6e5b327f674e1a4ed0ebaa426d68ee7f53aa09d02208cef997
194 Risk Score

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 5

  • 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.
  • Small PDF contains mass external PDF link farm critical PDF_SEO_LINK_FARM
    Small PDF contains many clickable external PDF links, mostly clustered on one host. This matches generated SEO/link-farm PDF carriers used to route users into malicious or unwanted-software delivery chains, rather than a normal document citation pattern.
  • Image lure linking to an SEO redirector (free-download phishing) high PDF_SEO_UTM_REDIRECTOR_LINK
    PDF embeds an image with little or no body text and a clickable link to a multi-word utm_term / FeedBurner-proxied SEO redirector — the 'free ebook / solution-manual / document download' phishing family that ranks for natural-language search queries and routes the user into a payload/redirect chain. The PDF carries no exploit; the risk is the linked destination. Flagged structurally (image lure + SEO redirector) so it does not depend on a ClamAV/ML signature, and regardless of how many filler text pages the lure carries.
  • 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://cctraff.ru/123?keyword=riemann+surfaces+simon+donaldson+pdf In PDF document text
    • https://wajiresejepo.weebly.com/uploads/1/3/0/7/130774962/9e092558626df9.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4377704/normal_5f8ab20d14903.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4383929/normal_5f8e126358200.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4369518/normal_5f8876d456ff6.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • http://www.daltonmaag.com/In PDF document text
    • https://s3.amazonaws.com/xanebavifamopez/87544823062.pdfIn PDF document text
    • https://s3.amazonaws.com/gupuso/advanced_adjectives_exercises.pdfIn PDF document text
    • https://s3.amazonaws.com/gedimuta/wawevixuvufusonasenona.pdfIn PDF document text
    • https://s3.amazonaws.com/sugaguxagu/boylestad_electronica_teoria_de_circuitos_y_dispositivos_electronicos.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/67e55061-ef5e-4acc-ab4a-2c9f29383c6c/fizonasezinujevakof.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/dbf27848-f86d-47d9-af9a-b8bc24c43271/dimale.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/7237e329-6a51-4a3c-a3c0-4710b9294e1e/19227500774.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/732a9fc3-70fc-49d7-aaff-64d56050a1c5/kawemegagukifebano.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/ddd9eccd-01bc-4079-9a03-5d2b2c504ad9/zijageguje.pdfIn PDF document text
    • https://s3.amazonaws.com/gupuso/53718444283.pdfIn PDF document text
    • https://s3.amazonaws.com/zirojopemup/best_pathophysiology_book.pdfIn PDF document text
    • https://s3.amazonaws.com/wilugugo/39504914068.pdfIn PDF document text
    • https://s3.amazonaws.com/henghuili-files/astm_a105_chemical_composition.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0428/4301/3287/files/33248273375.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0429/4728/1062/files/sesebizalonedem.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0496/0698/3829/files/nuzatowiguveki.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0496/3732/6997/files/76871357357.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0499/3413/9546/files/nursies_when_the_sun_shines.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 3

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00006c40.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6C40 5108 bytes
SHA-256: 48e7277c2e97a37796e1e790e1105fc0745a9df71020821efad6900f9d8a63aa
font_01_sfnt_off00007d7a.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7D7A 10092 bytes
SHA-256: 6f5595bc5886f1b3d797430cd94085d6f7e22fe0d9e7bd3e98ce9d02ec28a897
font_02_sfnt_off0000a00a.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xA00A 4324 bytes
SHA-256: ff5f0ef16caf3e97cd1984b3a03ea88e11eab8cf63d2ee006085a4b9995833f3