Malicious PDF — malware analysis report

Static analysis result for SHA-256 f4389dbfa8c27bb6…

MALICIOUS

PDF

46.7 KB Created: 2020-10-25 04:21:25 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2020-12-25
MD5: 6204310ae5ae4a9684bd88bd5b63467c SHA-1: d0bfb6fe7cadaf7a797a08b9b773a913390b8c5f SHA-256: f4389dbfa8c27bb6cf413cfe001c3248d2e30027167c415b0ed3043301a785bb
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://ttraff.me/aws?keyword=describir+a+una+persona+en+ingles+pdf In PDF document text
    • https://cdn-cms.f-static.net/uploads/4365620/normal_5f870e9376d95.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4369499/normal_5f94dcac2bd77.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366980/normal_5f876200a412a.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4393901/normal_5f901354ee2a6.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365607/normal_5f86f60df3aca.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4376879/normal_5f8de2aa6772c.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4376357/normal_5f93db263e7aa.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/20be9e84-30fe-414d-b72b-62770e833306/93003270600.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/58fa3a2b-ca28-4fe2-bcc1-3b7a9a6bd5fd/joseveb.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/8f69d8f5-da32-42a7-8d71-558efed6e7fb/pufipu.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/3ba408c1-dea2-4de1-9324-65bcc2059823/wusobitebobuvurojukimel.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/7ad1ec7f-59da-4b6d-b611-0a56d9f887d3/gukadoxusar.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0484/4784/8602/files/75215210667.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0431/4988/5606/files/similar_in_spanish_plural.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0438/9647/1707/files/the_breakfast_club_mix_and_match_worksheet_answers.pdfIn PDF document text
    • https://s3.amazonaws.com/mesixadelomomo/analogy_and_classification_questions_for_ssb.pdfIn PDF document text
    • https://s3.amazonaws.com/tenunud/tofezunomasaz.pdfIn PDF document text
    • https://s3.amazonaws.com/xanebavifamopez/71703794183.pdfIn PDF document text
    • https://s3.amazonaws.com/kevava/64614525655.pdfIn PDF document text
    • https://s3.amazonaws.com/jebokizez/93785359115.pdfIn PDF document text
    • https://s3.amazonaws.com/norozovijalu/mejetijimudil.pdfIn PDF document text
    • https://s3.amazonaws.com/vuraradaso/biodata_sample_philippines.pdfIn PDF document text
    • https://s3.amazonaws.com/jamokaroxoj/isomerism_questions_for_neet.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_off000072c3.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x72C3 5464 bytes
SHA-256: 8496c999271314b788337846ffb2696fa6078e7f228ff539d753864bfd39e47b
font_01_sfnt_off00008568.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x8568 11596 bytes
SHA-256: ff4e263f3a083baf5fa0d99377c732d03369dedf7b6823da2b8aff561a362644