Malicious PDF — malware analysis report

Static analysis result for SHA-256 dfff44a25039f8b1…

MALICIOUS

PDF

41.4 KB Created: 2020-09-30 04:33:01 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-17
MD5: 3e958023934b5dbfdfce1730455bd1e3 SHA-1: 6b6cfeb2c1d06e60fb92782a962cbbbcea45c80e SHA-256: dfff44a25039f8b1bcf753812ee8faea60dda8d5518db49e3169c6e5a2a94a64
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/strik?keyword=pdf+bestanden+samenvoegen+apple In PDF document text
    • http://files.ocdmumandorganiser.com/uploads/1/3/0/7/130740490/9718978.pdfIn PDF document text
    • http://files.tamalatakahashi.com/uploads/1/3/1/8/131856232/vibodotusanef.pdfIn PDF document text
    • http://files.adeliaburke.com/uploads/1/3/1/4/131452861/xazigawopazenuweroxi.pdfIn PDF document text
    • http://files.starins.org/uploads/1/3/0/7/130739750/fobupidureropizal.pdfIn PDF document text
    • http://files.mybuller.co.nz/uploads/1/3/1/3/131383544/b8bdb7c17.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/1/0429/6055/2089/files/484362398.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/6635/8934/files/adobe_flash_2d_animation_tutorial.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0447/4650/6391/files/tecnologia_da_informao_conceito.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/0687/7080/files/26433336276.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/2528ece1-030c-4909-a065-24f4e5049e2e/nirovufevujodozafepir.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/5c30c970-7da8-4a92-b555-16ece3f24ca4/10419796508.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/ed6fff97-4f7c-48b9-829e-b5af504c0e53/39608235741.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/eff78e87-c0cd-431b-b178-7754fbc00c8b/todusoweripapulugil.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0479/6543/8108/files/modalverben_im_perfekt.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0464/1603/6008/files/shakespeare_king_lear_tm_tt.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0436/9963/4326/files/79592002487.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_off00006097.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6097 5468 bytes
SHA-256: 36f7fb163ab61c65ade2e258094241853a0895712ac4c88e4e946ecfad8a4d3e
font_01_sfnt_off0000732b.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x732B 11400 bytes
SHA-256: 4a2e43b12124548a7de97d119d3a34434a0b685ba5e0cd53637a93b082f3e724