Malicious PDF — malware analysis report

Static analysis result for SHA-256 873297ee5ed4d7a7…

MALICIOUS

PDF

43.0 KB Created: 2020-11-06 19:56:45 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-09-14
MD5: 6fd81061ac3e336b95555ba640644eb8 SHA-1: 1c702f649285c504a0a1c06a3702475ee4b9fe6f SHA-256: 873297ee5ed4d7a7770c26c48566ed7ce9e6554b4d061875a76a8573410c9b1e
134 Risk Score

Malware Insights

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

The PDF contains embedded links that point to a known malicious redirector infrastructure, specifically 'traffine.ru'. This indicates an attempt to lure users to a malicious site, likely for phishing or to download further malware. The ML classifier also strongly flagged this PDF as malicious.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 4

  • 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.
  • 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://traffine.ru/aws?keyword=benhart+of+jugo+quest In PDF document text
    • https://cdn-cms.f-static.net/uploads/4388608/normal_5f96c0536d1a2.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4368979/normal_5f8c8dfc3dfed.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4376857/normal_5f9b3c48b899c.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4445736/normal_5f9d8c13db580.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4385011/normal_5f8cc7cdda97a.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4408190/normal_5f9e0412d4448.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4416672/normal_5f9befc95ec7c.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366406/normal_5f91d6c3352bd.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4382405/normal_5f91d44ed9f21.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4418786/normal_5f962b3bd2ad9.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4393180/normal_5f8f17793d417.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4409417/normal_5f98175639d28.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://s3.amazonaws.com/henghuili-files2/breast_ultrasound_cancer_vs_benign.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/c65ab0b1-1037-41f4-95b3-70d41a7151b0/gukurulevowaxisetusal.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/d7b6c6d4-5624-47a2-9c84-d24000450f17/71377191689.pdfIn PDF document text
    • https://s3.amazonaws.com/naramuro/natesemuf.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_off00006840.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6840 5248 bytes
SHA-256: 354d7c7b2f64759bbcd8c21fe5227b0d5af73324ec56a385d35abdda356ec636
font_01_sfnt_off00007a21.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7A21 10820 bytes
SHA-256: fef5c017d4cab303e04edcc24422503cf9923c10508bffa614a9a03f2f5bdeee