Malicious PDF — malware analysis report

Static analysis result for SHA-256 1c4f1ae99d97cb07…

MALICIOUS

PDF

47.2 KB Created: 2020-10-08 10:31:44 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-19
MD5: a30259ea69f9b1a78433d6e248ca814d SHA-1: 94429e39745d3efbc0519ae80cfbbd8e93913c0f SHA-256: 1c4f1ae99d97cb072976d5916e9a4bc7ebfbc848a82ec07847b585967b84d5aa
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=irregular+verbs+list+pdf+with+spanish+translation In PDF document text
    • http://files.pegasus-software.co.uk/uploads/1/3/0/9/130969873/be513a9d8e39.pdfIn PDF document text
    • http://files.foe3996.com/uploads/1/3/1/6/131606758/risakisinavat_mifejenamajala.pdfIn PDF document text
    • http://dajuk.nannypalooza.com/uploads/1/3/0/9/130969061/7c9c2f637d421.pdfIn PDF document text
    • http://zuwijar.emilycasnyder.info/uploads/1/3/2/7/132740837/6902019.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/1/0432/2476/0484/files/61847138651.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0481/7492/3933/files/walodevixaseposomam.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0432/5644/7136/files/worth_county_schools_calendar.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/cd455bef-9cf5-4934-8c31-899908ac86d4/77720107189.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/59093f65-8351-41a9-89f5-0bb067ebb6cc/11733327955.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/e8a1d981-96d8-46c0-b475-1527deab30d8/xiwadelubepepojapowojut.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/893e7db5-1a63-4090-a0e4-82bf5904d3ec/jegefofomamusikudoru.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/f30816eb-8f70-4ffd-9434-fbb41c95150a/28091529086.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/b34b82ce-8837-42f6-ba6d-a625e9144a56/94704805231.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/4f43aa23-edfc-4b9f-8cde-2a22c1a5f2af/85390841880.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_off0000724e.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x724E 5532 bytes
SHA-256: 26add95d359c1df262d32125870eb7da05749d5415b682dc90b7745bff416aca
font_01_sfnt_off0000852b.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x852B 13840 bytes
SHA-256: bcdba29017625baed69c9f1cc319beff4000897374dd83a742bf476c49005f3e