Malicious PDF — malware analysis report

Static analysis result for SHA-256 33fa8c959424cd32…

MALICIOUS

PDF

44.3 KB Created: 2020-08-08 11:42:28 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2026-05-08
MD5: 3623d923f90cf3a9c2ac19064c69c467 SHA-1: 507b0edb5abccde2e43812da9e61ccf84b402bbb SHA-256: 33fa8c959424cd3206bd2ea1f1e28eef245f74b040c61be9331a96288999b7f9
194 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment T1059.007 JavaScript

The PDF contains multiple embedded URLs, with a critical heuristic identifying a link to a known malicious redirector infrastructure at 'https://ttraff.ru/pify?keyword=spine+tuberculosis+pdf'. This suggests the document is designed to redirect users to malicious sites, likely for phishing or to download further malware. The ML classifier strongly supports the malicious verdict.

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://ttraff.ru/pify?keyword=spine+tuberculosis+pdf In PDF document text
    • http://files.balloonraces.com/uploads/1/3/2/7/132740423/4287146.pdfIn PDF document text
    • http://files.martajardim.com/uploads/1/3/1/4/131453365/jotugobegan_fupokedakemivu.pdfIn PDF document text
    • http://files.stevenpaulalvarez.net/uploads/1/3/0/7/130776611/1304770.pdfIn PDF document text
    • http://lewisala.m13groves.org/uploads/1/3/1/4/131453060/41562f134202.pdfIn PDF document text
    • http://files.mwprofessionalphotography.com/uploads/1/3/1/1/131163512/limorivasolo-pesefem-buvewovo.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/1/0429/4151/3894/files/kuzixaxav.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0429/3407/5558/files/33435772843.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0431/2888/1313/files/45047130075.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/3712/9895/files/activity_books_for_4_5_year_olds.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0431/0627/1394/files/9661032982.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0438/1143/8752/files/lamadoj.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0432/8144/9124/files/35919195279.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0428/8544/7833/files/21245289368.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0439/0433/6040/files/big_data_analytics_for_cloud_iot_and_cognitive_computing_download.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/0521/3847/files/dubawibuborulisububizegom.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/1972/2152/files/dagixutotanowufin.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0427/4687/1974/files/97406042003.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_off00006e7a.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6E7A 5184 bytes
SHA-256: 9bb3cd142738ab847b3ffb14e3fdfd0712dfe0fea3e81874e89173db9cecd3d8
font_01_sfnt_off00008028.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x8028 10728 bytes
SHA-256: 790392d7f7bea2f65abd68620086d2eb56a7f5a689e084b1da3e919c19d19d18