Malicious PDF — malware analysis report

Static analysis result for SHA-256 f0193b344c43e634…

MALICIOUS

PDF

47.5 KB Created: 2020-10-31 00:26:45 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2020-12-26
MD5: 393bcdf954192d7cfa4c70a34eaf03cf SHA-1: 939b51c610b892448dff7af8a5dad07a619b2fed SHA-256: f0193b344c43e634c6b6d66592eab328b5f171426e54c7cad9388eabeb3a5ac8
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=a+week+in+the+woods+online+book In PDF document text
    • https://cdn-cms.f-static.net/uploads/4374838/normal_5f9c9163b57bc.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366033/normal_5f8d5930ea6f4.pdfIn PDF document text
    • https://wugusuza.weebly.com/uploads/1/3/4/1/134131733/lefomodariko.pdfIn PDF document text
    • https://gezeteweni.weebly.com/uploads/1/3/4/0/134040803/xezutotikaxudes.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365599/normal_5f89877e91776.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4369138/normal_5f8eb2ce3928d.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365570/normal_5f871531829a7.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365560/normal_5f8e2b2a45eca.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4391896/normal_5f9186e25225e.pdfIn PDF document text
    • https://misutinulil.weebly.com/uploads/1/3/1/4/131407711/8315006.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365627/normal_5f883ee800656.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4379603/normal_5f977e864cc8c.pdfIn PDF document text
    • http://www.ascendercorp.com/In extracted file (font_00_sfnt_off00006df1.bin)
    • http://www.ascendercorp.com/typedesigners.htmlIn extracted file (font_00_sfnt_off00006df1.bin)
    • http://www.daltonmaag.com/In extracted file (font_02_sfnt_off0000a2bb.bin)
    • https://s3.amazonaws.com/davubewu/alabama_abortion_law_text.pdfIn PDF document text
    • https://s3.amazonaws.com/felasorarabipis/alice_miller_hayat_yollar.pdfIn PDF document text
    • https://s3.amazonaws.com/wilugugo/29487120383.pdfIn PDF document text
    • https://s3.amazonaws.com/dujepav/22186783144.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_off00006df1.bin)

Related samples 8

Ranked by shared artifacts, heuristics, extracted URLs, CVEs, and signatures.

Full JSON: related samples API

Extracted artifacts 3

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00006df1.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6DF1 4680 bytes
SHA-256: a8214f3d56ec7cc23c9c9a98c80ecd22d9f1dbe3bdeec5c650b6d713d8ba62ad
font_01_sfnt_off00007dde.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7DDE 10808 bytes
SHA-256: 6f9a528fc5ae8eba95dd3f952921bf84b0f16abb9964ca6f6a4101321f099cca
font_02_sfnt_off0000a2bb.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xA2BB 4324 bytes
SHA-256: 0d0f64e27578eb124b8bc81c7eceacdd166e22eddd95c81328e9fbd7de2a6333

Open this report in the interactive analyzer, or submit your own file for analysis.