Malicious PDF — malware analysis report

Static analysis result for SHA-256 378515619328bacb…

MALICIOUS

PDF

103.4 KB Created: 2020-11-19 15:10:23 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-09-14
MD5: b4e36bcafe5c05ddd0fc5a434e0bab79 SHA-1: c73d1bd79ef71d076152080669fbb2498d8c8185 SHA-256: 378515619328bacb9ce8ce417accff4e11dc32b780bc615a8b7be1795fde284e
154 Risk Score

Malware Insights

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

The PDF contains a critical heuristic firing for a malicious redirector link, pointing to 'https://gettraff.ru/123?utm_term=what+language+is+spoken+in+persia'. This indicates the document's primary purpose is to lure the user to a potentially harmful external site. The ML classifier also strongly flagged this PDF as malicious. No scripts were extracted, but the embedded URL is sufficient evidence of malicious intent.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9997

Heuristics 4

  • ClamAV: Pdf.Phishing.Trojan-d2568dad23a94d95-d2568dad23a94d95-10044375-0 critical CLAMAV_DETECTION
    ClamAV detected this file as malware: Pdf.Phishing.Trojan-d2568dad23a94d95-d2568dad23a94d95-10044375-0
  • 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.
  • 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?utm_term=what+language+is+spoken+in+persia In PDF document text
    • https://cdn-cms.f-static.net/uploads/4393188/normal_5f96f31b39212.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4378382/normal_5f8c6cb13d93a.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4410000/normal_5f97712331cc9.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4449618/normal_5fb3d52b25bd9.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4446165/normal_5fa8a17b96a3e.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4373004/normal_5f99e57e5a490.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/2d0a6ba8-ceef-4f2c-9b7a-ea6a88ac17f7/advocare_logo_vector.pdfIn PDF document text
    • https://s3.amazonaws.com/wixanarer/92735910368.pdfIn PDF document text
    • https://s3.amazonaws.com/nemafu/salvation_army_st_louis_lemay.pdfIn PDF document text
    • https://s3.amazonaws.com/vawoginele/sedulitajitotemomara.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/ba2acc9f-f188-4b9e-9774-3e9361d3d39e/lexakix.pdfIn PDF document text
    • https://s3.amazonaws.com/sinadi/xubibawogibukabake.pdfIn PDF document text
    • https://s3.amazonaws.com/henghuili-files/vataw.pdfIn PDF document text
    • https://s3.amazonaws.com/lopadivupudexa/55062557425.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_off0001588e.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x1588E 5160 bytes
SHA-256: ff24f32ef0f533d7b1198d9a66edb92550ffdb83e4a576873c894eed0a96f627
font_01_sfnt_off00016a24.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x16A24 11324 bytes
SHA-256: 03064b6808597eaf934990cf9a3df901189f3f02981af51becf1ab439160cefa