Malicious PDF — malware analysis report

Static analysis result for SHA-256 274c3467109f7412…

MALICIOUS

PDF

50.5 KB Created: 2020-10-16 22:06:00 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-15
MD5: dfabdde4e6e697ce2d55899a7a6988f0 SHA-1: e858c70befb25a8963655e6eda1738c7ae3dfc07 SHA-256: 274c3467109f74123e12c2ac1163d484775f953b55306e9fdc5a5cfc4bf096b1
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=imparfait+ou+pass%25C3%25A9+compos%25C3%25A9+exercices+pdf In PDF document text
    • https://cdn-cms.f-static.net/uploads/4366637/normal_5f8735d4c8835.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4368474/normal_5f87daf72cb3b.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4367286/normal_5f8880e925663.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/1/0499/8283/2790/files/37038546574.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0435/7298/6014/files/bixozitufato.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0435/6653/0721/files/escala_de_richter_terremotos.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0499/6982/3912/files/russian_piping_tips_guide_chart.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0429/6579/4969/files/59943020714.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0437/7093/7495/files/27785507686.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0266/8580/0645/files/how_to_check_messages_on_instagram_business_page.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0486/2099/4720/files/86147878575.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0429/2601/4620/files/manufacturing_consent_a_propaganda_model.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/f008d3ef-3b3a-4cdd-bb0f-1fd874fd4397/gasurelad.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/1ce148da-630c-4e5f-8ab8-752758cfe07f/lapebo.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/44dd719f-24c4-4c6f-95ec-28e9e5d7849a/kikijivekotofori.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/c371a934-f803-4084-bb28-97eecb5d5972/69601491954.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/12082cc9-597a-477f-b8ac-86efd12ae1c5/jazebupol.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/a3e223a7-507d-4c3a-8ec7-e248e671358c/tewabuwobiwozubaziged.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/7e11c0a9-6cd5-4a15-b0f0-83bf364c7003/tuvapitigi.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/06c090c9-8b04-4c97-b81e-b983d63988e1/govilewoguxafo.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_off000081b2.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x81B2 5416 bytes
SHA-256: 7f3bcbbc667bc351ade9ade9e0df14a398ff6243008e8cf44c1c430c5de36c99
font_01_sfnt_off000093b7.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x93B7 12444 bytes
SHA-256: f6ccc69027bc7ac27b33422086e3146ae913c89bd723bb7325a841e281e52c38

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