Malicious PDF — malware analysis report

Static analysis result for SHA-256 df11d1b0de06a6dd…

MALICIOUS

PDF

48.0 KB Created: 2020-11-02 03:43:40 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-01-15
MD5: 7b707af9afc3b0ff9dc12f53c754fd70 SHA-1: c194feb64a27a293beab0383eb3cbae03d148874 SHA-256: df11d1b0de06a6dd26d4f5ffcdfa74d2c527cc11718acf198568446a1369be09
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/123?keyword=minecraft+words+on+screen+command In PDF document text
    • https://cdn-cms.f-static.net/uploads/4369654/normal_5f8aca75ce63b.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://cdn.shopify.com/s/files/1/0504/2746/1782/files/parexomele.pdfIn PDF document text
    • https://s3.amazonaws.com/nijudow/imperial_munitorum_manual.pdfIn PDF document text
    • https://s3.amazonaws.com/vawoginele/v_is_for_vampire.pdfIn PDF document text
    • https://s3.amazonaws.com/vidadaviwal/54959214401.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/4993/4229/files/jadezametezutewurubunes.pdfIn PDF document text
    • https://s3.amazonaws.com/guwutivupudutu/pijekunurezilimo.pdfIn PDF document text
    • https://s3.amazonaws.com/nawosineromigi/spotify_windows_app_store.pdfIn PDF document text
    • https://s3.amazonaws.com/sezebepit/14512473905.pdfIn PDF document text
    • https://s3.amazonaws.com/mamibis/67627624833.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0500/0714/6687/files/64467868409.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 3

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off000058c9.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x58C9 10284 bytes
SHA-256: af509ba5271f1d70791ac7a39753a3d6f3c83adc765764ae054ca85ccd23d4f6
font_01_sfnt_off000078f8.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x78F8 5232 bytes
SHA-256: e21a501488e0aa093a032a9962b5e6bd748ee069e648d8f845506f28a746cfb2
font_02_sfnt_off00008ad0.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x8AD0 11632 bytes
SHA-256: 128a25572ede0142e540e96761bf12ae65d2b619c2f4ed35fb6093269024ce5a