Malicious PDF — malware analysis report

Static analysis result for SHA-256 d1862d4026094972…

MALICIOUS

PDF

37.8 KB Created: 2020-10-26 18:11:18 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2020-12-26
MD5: da51dbc75e2fd7b1699319d8db283c0d SHA-1: e793912883528b9be4337b696c29f82b314b1cd5 SHA-256: d1862d40260949721b1a6d35a4e1eca4799f8e124bc0f59c7f9c9712b7c00b52
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=convertir+archivos+pdf+a+word+i+love In PDF document text
    • https://cdn-cms.f-static.net/uploads/4366304/normal_5f8715c2db4d8.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366319/normal_5f8f38c8ac189.pdfIn PDF document text
    • http://www.ascendercorp.com/In extracted file (font_00_sfnt_off000054e4.bin)
    • http://www.ascendercorp.com/typedesigners.htmlIn extracted file (font_00_sfnt_off000054e4.bin)
    • https://uploads.strikinglycdn.com/files/5be1d9c0-65a8-4c3a-a714-594132183b92/70318164164.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/6dcf8e0d-7fca-47ac-b64b-c04c9dbf659e/21489526289.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/4bda7671-8b32-467a-80a9-54f0d5405a1e/3030971679.pdfIn PDF document text
    • https://s3.amazonaws.com/sugaguxagu/tilting_pad_journal_bearing.pdfIn PDF document text
    • https://s3.amazonaws.com/pazifetanegapu/63850422778.pdfIn PDF document text
    • https://s3.amazonaws.com/jamokaroxoj/block_caving_geomechanics_e._t._brown.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0498/3154/2983/files/mupegofupo.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0482/8440/1819/files/62036904901.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0483/9440/4008/files/tekegamumakipedu.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0499/3210/7937/files/tokabe.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/287ee149-78bf-497e-92fb-5d83a52512cc/83206748709.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/053a22c8-263a-4ad8-be2f-7bc47f2cd2f9/vafodan.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/6b9e917d-f551-4fec-9f84-c9767d933e05/42440893485.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/a1c7ee61-7ec6-46d7-aa25-6c3e50e7fbee/nijapedesamid.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/211e32da-f458-4396-9ea4-ddd2b46201d3/mepanelalakolobowaw.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/e87006f5-1665-4717-b857-5593fbbd343c/81803766615.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/357106d4-c315-49f1-ba96-c83e906d0494/53985328496.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_off000054e4.bin)

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off000054e4.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x54E4 5300 bytes
SHA-256: 6e9c0b7608bd0c175b03d78ef48e56af3a54a3fdf32443ba8b24e2443c634f02
font_01_sfnt_off000066f6.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x66F6 10208 bytes
SHA-256: c729964b05e58245d5b3557da5eeeeee372883586a30fac5556cfa194f534dd2