Malicious PDF — malware analysis report

Static analysis result for SHA-256 92d89d955aea50fc…

MALICIOUS

PDF

62.0 KB Created: 2020-10-16 04:46:03 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-15
MD5: 882f7393f4ecbdbf13c72a42201b6970 SHA-1: 801f715216c7adb8ca20d27a007196298898536c SHA-256: 92d89d955aea50fcf772ff288dbcfe0f1cabaf228ea8035910fac76dab46de2d
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://gettraff.ru/123?keyword=train+games+3d+free+download+apk In PDF document text
    • https://cdn-cms.f-static.net/uploads/4366015/normal_5f874e610bf7f.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4369305/normal_5f88ca1b7ed8a.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4369317/normal_5f882ac87b92d.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4369631/normal_5f88d154699a5.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4374024/normal_5f88e82e42026.pdfIn PDF document text
    • https://site-1048474.mozfiles.com/files/1048474/90710679111.pdfIn PDF document text
    • https://site-1038353.mozfiles.com/files/1038353/79238656116.pdfIn PDF document text
    • https://site-1042883.mozfiles.com/files/1042883/975333484.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/1/0438/3395/0358/files/99853783882.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0437/8837/0077/files/17237886653.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0483/8640/8600/files/dcf899m1_vs_dcf899hb.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0493/1941/1878/files/ritinibaliguwakavo.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0479/7992/1564/files/fugosufeko.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/5095/7991/files/87559280606.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0483/9247/0685/files/pham_nhat_vuong_son.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0497/5581/6090/files/46896524617.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0476/8835/1910/files/vaxevebigu.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_off0000a395.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xA395 5336 bytes
SHA-256: e0c8428a69ce54dac5afaac0378e3ed5192d9c263708cb123381bed0d8a98016
font_01_sfnt_off0000b5ad.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xB5AD 10948 bytes
SHA-256: e0047dedee154001888130cda0bc929b063e7ca3bad5c745875bb50035118a88
font_02_sfnt_off0000daec.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xDAEC 4324 bytes
SHA-256: 1158d95dac44631f497756703988ba3645251422e7ff0015d3fca430225e7c3e

Open this report in the interactive analyzer, or submit your own file for analysis.