Malicious PDF — malware analysis report

Static analysis result for SHA-256 8bcd2bbd0a7fcd2f…

MALICIOUS

PDF

39.5 KB Created: 2020-10-29 07:07:21 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2020-12-26
MD5: 43e8d68b70d55934177eaa72a113e327 SHA-1: 8509962a09de754907cb61b818c11b0dd40d5935 SHA-256: 8bcd2bbd0a7fcd2fc6d29e1b4e200d22dd6f637c89faaf4afe15c77392fb01a5
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=tu+poeta+chords In PDF document text
    • https://cdn-cms.f-static.net/uploads/4402478/normal_5f90dca8a4de3.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4394077/normal_5f9282222b138.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4369161/normal_5f98ffa019f2d.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4384483/normal_5f8f6c3b49240.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4371248/normal_5f90763ec2b66.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4380411/normal_5f951022204db.pdfIn PDF document text
    • http://www.ascendercorp.com/In extracted file (font_00_sfnt_off00005dd4.bin)
    • http://www.ascendercorp.com/typedesigners.htmlIn extracted file (font_00_sfnt_off00005dd4.bin)
    • https://s3.amazonaws.com/loxopudizus/vulovufokujot.pdfIn PDF document text
    • https://s3.amazonaws.com/kalufizefem/rojedabitajifunovid.pdfIn PDF document text
    • https://s3.amazonaws.com/minaxigevani/how_many_calories_in_taco_bell_taco_sauce.pdfIn PDF document text
    • https://s3.amazonaws.com/vapelurowar/general_english_questions_and_answers.pdfIn PDF document text
    • https://s3.amazonaws.com/wonoti/regional_sales_manager_resume.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/dcc78a15-30bf-44d0-b36c-c6cc23125ee1/pelvic_floor_massage_and_trigger_point_tool.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0498/3413/1655/files/29076610234.pdfIn PDF document text
    • https://s3.amazonaws.com/xidulumexi/apostrophes_practice.pdfIn PDF document text
    • https://s3.amazonaws.com/kiwopusafize/28433779546.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/d4c30dd8-2861-46b0-a0a0-33605fa0fc88/56814682825.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/5007/3240/files/kogudakekegifufosefi.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0502/8541/2546/files/86986720429.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0501/6286/0207/files/vagaretinalebejutudegas.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 extracted file (font_00_sfnt_off00005dd4.bin)

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00005dd4.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x5DD4 5076 bytes
SHA-256: 3b45125ed4f13891759ff72808905fcb3efd3773f91190b77f61cd2ac7ac1897
font_01_sfnt_off00006f0a.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6F0A 9936 bytes
SHA-256: e59c3cc3a0a8452afad025b2fe3dd5dc786d32c637c99466e292404dd65477d7