Malicious PDF — malware analysis report

Static analysis result for SHA-256 5ecff1812e0df4d4…

MALICIOUS

PDF

47.9 KB Created: 2020-10-25 10:18:47 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2020-12-26
MD5: 61b25b052e2e979072e999a1d9886853 SHA-1: 6b1dddfdb55e28b317cdc11858e5b09419470626 SHA-256: 5ecff1812e0df4d4a5fd240d6badb593f20cf3f0a68b4078035ffbcaffc6ca21
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/aws?keyword=best+selling+romantic+novels+pdf+download In PDF document text
    • https://cdn-cms.f-static.net/uploads/4387922/normal_5f9064ea458a4.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4383132/normal_5f8d81f45d639.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4387410/normal_5f8d4dc32dbef.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366969/normal_5f872b8e7dd44.pdfIn PDF document text
    • https://kikuriniwabutip.weebly.com/uploads/1/3/4/4/134440093/nilosus.pdfIn PDF document text
    • https://nitetezelimon.weebly.com/uploads/1/3/1/4/131438651/36c49.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365634/normal_5f8ff3d46923d.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4370267/normal_5f8825fc49ce5.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4393033/normal_5f923ace2d3dd.pdfIn PDF document text
    • http://www.ascendercorp.com/In extracted file (font_00_sfnt_off0000791d.bin)
    • http://www.ascendercorp.com/typedesigners.htmlIn extracted file (font_00_sfnt_off0000791d.bin)
    • https://cdn.shopify.com/s/files/1/0432/1479/9012/files/neuron_structure_worksheet.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0435/1954/1416/files/74831629596.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0440/1378/1157/files/subtraction_worksheets_for_grade_5.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0483/5482/0247/files/toyota_sienna_2009_service_manual.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0499/9285/9798/files/pharmacovigilance_guidelines_in_usa.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0497/5978/1023/files/kubovarevoxa.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0499/9692/3030/files/49312801312.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0492/2844/7900/files/singing_game_apps_for_android.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0266/8992/9391/files/norebofukegitowasememefal.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0266/8586/6165/files/28081646616.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0502/2371/0402/files/custos_da_qualidade.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_off0000791d.bin)

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off0000791d.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x791D 5676 bytes
SHA-256: 3919566f4f90445a48c9aa08b2365fd4a84f3ec502a7350e76e3c162c4a98478
font_01_sfnt_off00008c6f.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x8C6F 11088 bytes
SHA-256: bf9a4a347a1b69c33ffdc897dd51e595306d84aa6acad2352d20e97b1f5646fe