Malicious PDF — malware analysis report

Static analysis result for SHA-256 a4cced5eb6f3450a…

MALICIOUS

PDF

44.6 KB Created: 2020-10-19 13:08:26 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-04
MD5: cac13620a793ca21c37a3cdc9dfd3caa SHA-1: 4ba9e97f79b04a9da312cae68652fbc0ee11d3ca SHA-256: a4cced5eb6f3450a735914a213590bf3150cf9fcaff1f37f3a562ce87a346543
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=marie+lu+legend+pdf In PDF document text
    • https://cdn-cms.f-static.net/uploads/4383322/normal_5f8bb056779e8.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4377908/normal_5f8a5dcb76df2.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366034/normal_5f8716baea647.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365525/normal_5f870c56ab2a9.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4376087/normal_5f8a0d7f354e0.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365646/normal_5f8880d646451.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://uploads.strikinglycdn.com/files/f6794eb7-61ff-42c8-921a-cfbb6f69615d/65740074258.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/6af6cfd3-faa2-4a4b-bc50-72e014ff23ee/wosafabatewugad.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/8cae26ad-f27a-4019-8428-b4bc2840dba6/38163805120.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0496/5895/3885/files/manual_de_un_buen_vividor_libro.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0266/8327/7491/files/ios_design_guidelines_font_size.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0483/5940/7765/files/73755299440.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/67d58103-9b20-40bf-bf2d-142de40f8f31/4243233086.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/af0e3555-db31-4ec3-86e0-454e7db4055e/99867660525.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/411eff4b-c989-466a-8c75-7289813d1471/la_maison_de_bernarda_alba.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/25ec4327-9ceb-4491-a570-73bef2e23773/40801938437.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/8092d190-bf3f-4298-8539-8e809aca1183/40357831751.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_off000071bb.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x71BB 5036 bytes
SHA-256: fb57f622b4fe925bbae7e9d4db5d7b7e33d262aeb950e6b6ddb7c796c3e1e045
font_01_sfnt_off000082e9.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x82E9 10228 bytes
SHA-256: 3ffc661f0a927828975cb37d47f86a67a8efbc62d5c33d556694378da2017f83