Malicious PDF — malware analysis report

Static analysis result for SHA-256 ed7f4badf15b1ec2…

MALICIOUS

PDF

41.3 KB Created: 2020-10-28 23:43:38 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-15
MD5: 2259b69b50f4e1028ccb88f60e8a70ec SHA-1: 58e54b10ce8e40c9c5e4d95d6acab06599ee4ed0 SHA-256: ed7f4badf15b1ec2c9d96441d964cd5bd5cc5b9e347f5d7097307778559aa768
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://ggtraff.ru/aws?keyword=mega+man+unblocked+games In PDF document text
    • https://cdn-cms.f-static.net/uploads/4418583/normal_5f96cb6d08a70.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4385012/normal_5f8c5a3c4bb14.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4382187/normal_5f8c466d3e3c8.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4388815/normal_5f8efd4e16b34.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4369772/normal_5f892af6a27e7.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4373753/normal_5f91b3a1b23c1.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4370062/normal_5f967f42dad7e.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4402247/normal_5f9441636319d.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4382778/normal_5f915a51b37b4.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • http://www.daltonmaag.com/In PDF document text
    • https://cdn.shopify.com/s/files/1/0434/9601/3990/files/signature_design_by_ashley_bed_assembly_instructions.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/93feec08-b61e-4e24-8dc6-9fad43082ade/ascot_weather_station_sensor.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0266/8114/7582/files/26878118247.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/5f4d7af3-be1b-4379-b94a-2534ce51c69a/jarusukonetu.pdfIn PDF document text
    • https://s3.amazonaws.com/jemazejodep/16577829182.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/de3d47fc-cb36-4d3e-9734-7c72415cc929/81463616496.pdfIn PDF document text
    • https://s3.amazonaws.com/panalipolifod/luporoganogu.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0503/8650/1806/files/conjunctions_worksheets_for_class_5.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/8f087140-f251-4adc-8941-70a278b52c9f/10020955892.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 3

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00005599.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x5599 5128 bytes
SHA-256: 460318434a43089166cff81b823f2c0d434a0a60fb6226c3d73b392eb5357e82
font_01_sfnt_off000066ef.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x66EF 10276 bytes
SHA-256: 9bd74555904efeb9c62481912ab56042bb8b87a2e92118a5633a9eedec624cc4
font_02_sfnt_off000089bf.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x89BF 4324 bytes
SHA-256: ce7e2e230a41ba6fc2d7d2240890c8289d67876d84a3d076d67c0b48111c8230