Malicious PDF — malware analysis report

Static analysis result for SHA-256 cbae5bb6592ced38…

MALICIOUS

PDF

36.9 KB Created: 2020-10-25 20:40:15 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2020-12-26
MD5: fef403e5320eb19ba5aa8e71297104ea SHA-1: ed01ef2eafd614fcba596a7a500ae266ba5ec702 SHA-256: cbae5bb6592ced38523874ee30e1a6a68d3584d9e48195c1a5d22aab540bf9fe
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/aws?keyword=shorthand+learning+book+in+hindi+pdf In PDF document text
    • https://cdn-cms.f-static.net/uploads/4366324/normal_5f95517170ee9.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365656/normal_5f86f5a75eed7.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4376375/normal_5f90c981c583d.pdfIn PDF document text
    • https://weropejo.weebly.com/uploads/1/3/4/3/134321986/zemurewotadomaxozo.pdfIn PDF document text
    • https://rolosakuzorega.weebly.com/uploads/1/3/1/3/131379035/f99449e32f852c8.pdfIn PDF document text
    • http://www.ascendercorp.com/In extracted file (font_00_sfnt_off000051f3.bin)
    • http://www.ascendercorp.com/typedesigners.htmlIn extracted file (font_00_sfnt_off000051f3.bin)
    • https://uploads.strikinglycdn.com/files/031c4f30-2255-4217-ba81-976ac2d35f13/76936355982.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/dcb7c84c-96b3-40ce-b69a-da77a0bb4d36/42323036789.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/fce56cb0-ac10-4e0b-b7ee-0845e142e553/gepupaxes.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0478/2758/3135/files/experiment_compare_sugar_in_drinks.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0496/1173/5193/files/jukuzijez.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0497/1790/3521/files/94336848834.pdfIn PDF document text
    • https://s3.amazonaws.com/jotizifime/list_of_adjectives_describing_personality.pdfIn PDF document text
    • https://s3.amazonaws.com/nigimul/applied_multivariate_data_analysis_2nd_edition.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0496/1255/4391/files/active_and_passive_voice_test.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0497/5217/8849/files/hp_m1005_printer_apk_download.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0439/0263/2104/files/h_dictionary_words_scrabble.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0483/8490/1277/files/vizio_e241i-b1_remote_app.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0476/9100/6108/files/42142706193.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_off000051f3.bin)

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off000051f3.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x51F3 5432 bytes
SHA-256: 3e7e0229c8223628aeb764210aaa105c9091b7a061b2169fa0e1f64619d0a3a7
font_01_sfnt_off0000645e.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x645E 9984 bytes
SHA-256: c2c0326801b33fe9fb94c00cbcfdb45318eb95821a945e777d460d74f9948a62