Malicious PDF — malware analysis report

Static analysis result for SHA-256 9fb57d338e1300dc…

MALICIOUS

PDF

39.1 KB Created: 2020-10-29 13:09:52 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-04-01
MD5: a7fb5d3733f5a89b4f94ca9bf0d3ae4f SHA-1: d04bbad83ab64468bc73711cefb3543949282c53 SHA-256: 9fb57d338e1300dcb9772fba117a9b6ffecb55605b1371a31d44ae50938afa6a
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://gettraff.ru/aws?keyword=canciones+de+mi+padre+lyrics In PDF document text
    • https://cdn-cms.f-static.net/uploads/4385633/normal_5f91e5989f5d5.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365657/normal_5f86f9835b85b.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4392199/normal_5f98cda8deb70.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4371240/normal_5f95911e1e6c0.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4377115/normal_5f94ffb9e83b8.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/memul/lumazowemawozegoxivem.pdfIn PDF document text
    • https://s3.amazonaws.com/zevutebulaworel/94780590202.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/1f993ab0-238d-4cea-8846-5fff128ab785/98222992576.pdfIn PDF document text
    • https://s3.amazonaws.com/subud/78243727383.pdfIn PDF document text
    • https://s3.amazonaws.com/vukumesoj/asset_management_a_systematic_approach_to_factor_investing_download.pdfIn PDF document text
    • https://s3.amazonaws.com/fedufiporara/578490254.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0482/3669/1610/files/copyright_criminals_worksheet_answers.pdfIn PDF document text
    • https://s3.amazonaws.com/bulolimepol/bacterias_microbiologia.pdfIn PDF document text
    • https://s3.amazonaws.com/xanebavifamopez/samirovujabu.pdfIn PDF document text
    • https://s3.amazonaws.com/pibabopuduj/anandi_vastu_book.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0492/0410/1284/files/myrtle_place_elementary_school_supply_list.pdfIn PDF document text
    • https://s3.amazonaws.com/susopuzupure/learning_opencv_3_computer_vision_in_c.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/487d644c-88d3-4911-b6ff-eac1bb95d1b5/sujiba.pdfIn PDF document text
    • https://s3.amazonaws.com/leguvefu/amie_examination_form.pdfIn PDF document text
    • https://s3.amazonaws.com/palikuvexake/big_data_in_healthcare_hype_and_hope.pdfIn PDF document text
    • https://s3.amazonaws.com/vavale/average_word_problems_grade_5_worksheets.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_off00005510.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x5510 5228 bytes
SHA-256: f8271c92b4ec335375982b68c84f1dd0daeceb594dad1f0921db3582fea3fff3
font_01_sfnt_off000066c2.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x66C2 12144 bytes
SHA-256: ca5179e40136114ef5fa355cbfeea20ffd20946028cbb5222ed2ac947e32975c