Malicious PDF — malware analysis report

Static analysis result for SHA-256 9dd4a1cba69a252d…

MALICIOUS

PDF

43.0 KB Created: 2020-10-29 03:13:11 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-02-23
MD5: f877eb0c4e19161a2b157894baf3d3c2 SHA-1: 9a77ab4e1b92158afa707ca54f8e4dbb57b85af0 SHA-256: 9dd4a1cba69a252dbf8989656008a58a4272c4a4a76934ec60dd07948665dce6
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/123?keyword=writing+recommendation+letters+for+college In PDF document text
    • https://xexofomes.weebly.com/uploads/1/3/4/4/134489610/f21a1c22424fd.pdfIn PDF document text
    • https://dipakinujudisil.weebly.com/uploads/1/3/4/4/134468351/ludijobixowa.pdfIn PDF document text
    • https://vefozifus.weebly.com/uploads/1/3/4/3/134382693/9267198.pdfIn PDF document text
    • https://rosuxemu.weebly.com/uploads/1/3/0/7/130776582/22e97ac1e772a.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/xapidajovaji/complete_palmistry.pdfIn PDF document text
    • https://s3.amazonaws.com/vavebufevodutob/vupotanezab.pdfIn PDF document text
    • https://s3.amazonaws.com/tinajabizoreguf/60193399326.pdfIn PDF document text
    • https://s3.amazonaws.com/gupuso/bangla_chaitanya_charitamrita.pdfIn PDF document text
    • https://s3.amazonaws.com/xesigeze/usb_loader_gx_initialize_usb_device.pdfIn PDF document text
    • https://s3.amazonaws.com/fopalew/zekuwovema.pdfIn PDF document text
    • https://s3.amazonaws.com/pazifetanegapu/jisuvimez.pdfIn PDF document text
    • https://s3.amazonaws.com/gupuso/bonuvifo.pdfIn PDF document text
    • https://s3.amazonaws.com/wizidimawag/spider_man_comics_free.pdfIn PDF document text
    • https://s3.amazonaws.com/pibabopuduj/soluva.pdfIn PDF document text
    • https://s3.amazonaws.com/matogapibelifiv/speak_softly_love_piano.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/6dbabcf9-3bca-4df5-a47e-57972790f4e2/little_brother_may_the_lord_watch_zi.pdfIn PDF document text
    • https://s3.amazonaws.com/fasanag/99095692861.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/777814b6-8bb4-41a5-aa52-27ad91c74f7d/49966375000.pdfIn PDF document text
    • https://s3.amazonaws.com/jamokaroxoj/tanemejizasuzivapirox.pdfIn PDF document text
    • https://s3.amazonaws.com/nilafafakem/6865282557.pdfIn PDF document text
    • https://s3.amazonaws.com/kavitokolezub/55428050643.pdfIn PDF document text
    • https://s3.amazonaws.com/fosagobomap/nebojapukiwaku.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_off00006a6f.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6A6F 5352 bytes
SHA-256: 4b40fd71d8c6c847307ec0a95a9320923b9317921e356f0df053c87688131d6c
font_01_sfnt_off00007c97.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7C97 9952 bytes
SHA-256: 4ae4e56ef1907019a6e56bfbf35b3994f3041873f30a8499aca516338211c896