Malicious PDF — malware analysis report

Static analysis result for SHA-256 e7ad9daade9a83de…

MALICIOUS

PDF

56.2 KB Created: 2020-10-25 11:11:22 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2020-12-26
MD5: bbb3a2d01784aacc66c5c57b7020775b SHA-1: 3424dbefee8fbb4e43bc6d6fba419b42e847bf8a SHA-256: e7ad9daade9a83ded50a03a0e4af4520d494c8020f1de412192ec8f11ce8c81c
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=donald+barthelme+not+knowing+pdf In PDF document text
    • https://winomumamo.weebly.com/uploads/1/3/1/0/131070375/2522629.pdfIn PDF document text
    • http://www.ascendercorp.com/In extracted file (font_00_sfnt_off000081f2.bin)
    • http://www.ascendercorp.com/typedesigners.htmlIn extracted file (font_00_sfnt_off000081f2.bin)
    • https://s3.amazonaws.com/kavitokolezub/55946344653.pdfIn PDF document text
    • https://s3.amazonaws.com/gupuso/wewires.pdfIn PDF document text
    • https://s3.amazonaws.com/kavitokolezub/nadejanarezobixuliser.pdfIn PDF document text
    • https://s3.amazonaws.com/bofake/ornamental_plants_identification.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/6f4dd3ea-9a7e-4335-8cd4-1257795284c3/40133355051.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/b496969b-02fa-4874-9b40-dc4766d91570/rejosurefofixo.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/b0e1ee3b-9b24-4292-91bc-7d05700e356b/jagososanujofolokabo.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/d38d40bb-8dff-44fc-a772-1163062aa056/mimuden.pdfIn PDF document text
    • https://s3.amazonaws.com/henghuili-files/85122700852.pdfIn PDF document text
    • https://s3.amazonaws.com/jafujasiwetid/labazodekeritasab.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0483/3804/3031/files/dasukuzimuzuxax.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0429/0638/6595/files/19172392030.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0429/4659/2924/files/come_ridimensionare_un_file_con_mac.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0484/0557/7896/files/75756324159.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0438/1720/5920/files/rpg_offline_games_apk.pdfIn PDF document text
    • https://s3.amazonaws.com/ropuba/celebrity_endorsement_advantages.pdfIn PDF document text
    • https://s3.amazonaws.com/bugutaj/juginevarej.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://dejavu.sourceforge.netIn extracted file (stream_005_off0000b817.bin)
    • http://dejavu.sourceforge.net/wiki/index.php/LicenseIn extracted file (stream_005_off0000b817.bin)
    • http://scripts.sil.org/OFLIn extracted file (font_00_sfnt_off000081f2.bin)

Extracted artifacts 3

Files carved from inside the sample during analysis.

FilenameKindSourceSize
stream_005_off0000b817.bin decompressed-pdf-stream PDF FlateDecoded stream at offset 0xB817 18192 bytes
SHA-256: 74906df6dd64d7c27b26d3bbead2f12359c3257d713d57c05240365bb4dbca93
font_00_sfnt_off000081f2.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x81F2 5572 bytes
SHA-256: 767cf948c65a2aa60d0d6e162265f1fa5506b291398a5fb321b8180c1d4272ca
font_01_sfnt_off000094cd.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x94CD 10240 bytes
SHA-256: 677dddb0d4ef89303e00e0c084249358b9e9b80f6d8e39d78d1c63630dfd1175