Malicious PDF — malware analysis report

Static analysis result for SHA-256 441e868179e60544…

MALICIOUS

PDF

44.5 KB Created: 2020-11-05 06:21:37 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2026-05-05
MD5: 6d0c3b3a1bd41d18f1eddbdd81a70875 SHA-1: 67fc2269e56e51c1f0ec3ec90d21bd18673ac608 SHA-256: 441e868179e6054486d765feb9b51d6c9ed9438740a358f58e282b8a1b16bf59
182 Risk Score

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 6

  • 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.
  • 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.
  • Travel-support phone-number stuffing scam high SE_TRAVEL_SUPPORT_PHONE_SCAM
    Document repeats phone numbers in airline/travel/refund/support language, often across multiple regional phrasings. This matches SEO/support-scam PDFs that impersonate airlines or travel brands and route users to attacker-controlled call centers rather than a normal travel document.
  • Visual download / call-to-action button lure low SE_DOWNLOAD_BUTTON
    Document contains a call-to-action phrase ('Click here to download', 'Download Now', etc.) — low-signal unless other findings point to a malicious workflow
  • 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://ggtraff.ru/wb?keyword=gloud%20games%20hacked%20apk In PDF document text
    • https://s3.amazonaws.com/sugaguxagu/dorexiseji.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4375342/normal_5f8f3f3cb948b.pdfIn PDF document text
    • https://s3.amazonaws.com/rotowan/9230807432.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4367304/normal_5f9792b670aea.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4393016/normal_5f9994086ffe3.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4416664/normal_5fa0a2bc1096c.pdfIn PDF document text
    • https://s3.amazonaws.com/vutame/mascoma_savings_bank_netteller_sign_in.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4392444/normal_5f93f42c28169.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365612/normal_5f87150f5bffe.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4451563/normal_5fa374905078d.pdfIn PDF document text
    • http://www.ascendercorp.com/In extracted file (font_00_sfnt_off00006d8c.bin)
    • http://www.ascendercorp.com/typedesigners.htmlIn extracted file (font_00_sfnt_off00006d8c.bin)
    • https://uploads.strikinglycdn.com/files/51c3ad1c-c69c-4244-8ee4-65ba5ea542ff/mapidazumos.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/78682cb4-e439-4e90-a438-38304ac99099/vimepijexugarelunefufu.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/0efc2804-f33a-4309-8393-bdd6575c6f68/google_maps_flushing_new_york.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_off00006d8c.bin)

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00006d8c.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6D8C 5488 bytes
SHA-256: a48651d8906154f9c0d7829e8fd720a5b8c293bdaf0a8eb0dd230158d8271809
font_01_sfnt_off0000801a.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x801A 11300 bytes
SHA-256: d6b261feb20fb3162080eee3fc6e591c53b3e15b7cd549d3081e14fbd943de10