Malicious PDF — malware analysis report

Static analysis result for SHA-256 52d044846baca7c4…

MALICIOUS

PDF

44.2 KB Created: 2020-11-02 13:43:38 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-15
MD5: ab300ba8e60d2417d9bc5cc8faaf50aa SHA-1: a17a6d329d4240af8b4f9806eea93e7eeea48c2f SHA-256: 52d044846baca7c46a4ffad07777e81bd1643e9e4df0a5ff66894c5715f4fc01
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/aws?keyword=scale+mail+armor+dnd+5e In PDF document text
    • https://ziripovopibew.weebly.com/uploads/1/3/0/8/130874468/c4001091001fb9.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366319/normal_5f8d462cabd7e.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4393635/normal_5f9c25dc9b142.pdfIn PDF document text
    • https://giwirakixa.weebly.com/uploads/1/3/3/9/133999144/bafirisasusidenofuve.pdfIn 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/256ba629-858a-4a41-a315-72b28513ad90/85637547040.pdfIn PDF document text
    • https://s3.amazonaws.com/lixuduwonifa/wexusat.pdfIn PDF document text
    • https://s3.amazonaws.com/mijedusovineti/52597383834.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/715232a0-b6a3-41ab-8184-79af5a06028d/wopugovoxukulotaz.pdfIn PDF document text
    • https://s3.amazonaws.com/fapaga/structural_reliability_analysis_and_prediction_3rd_edition.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/75535ecd-e330-4532-b04c-197e94ec88e9/fekawiko.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/708aac4c-af7c-4099-8b0f-3c531e71c7d0/97999630093.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/cea1ee4d-e3c7-4538-9405-ab83f4876d46/aziz_ansari_snl_monologue_transcription.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0501/6623/5317/files/disney_heroes_tier_list.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/e1485f09-cfa3-4cfb-9b82-1bd46175a0cd/davega.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/2f1293d5-7e71-4fde-a5bc-e370f80be3b3/67952113859.pdfIn PDF document text
    • https://s3.amazonaws.com/dazifozixawus/arsenic_pollution_in_drinking_water_in_west_bengal.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_off00006f44.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6F44 5132 bytes
SHA-256: 76ea8c29110115e86df3f61294b64e9688d177506fb158bb82292cd6b2245265
font_01_sfnt_off000080a5.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x80A5 10412 bytes
SHA-256: 3f8792810b178390368882030e74503f012d9efdfbebf37d484b44982c3e3746

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