Malicious PDF — malware analysis report

Static analysis result for SHA-256 fc0aae5744ec6975…

MALICIOUS

PDF

70.0 KB Created: 2021-01-03 22:05:51 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-16
MD5: e6377f1c86fe9af5da95bd7ac914505b SHA-1: bd9d797883b3fdef4cec34f7950b850bcd0da0aa SHA-256: fc0aae5744ec69753b1b5abf3f7c9d3d938c6a881082daa0ee671935f5760e6f
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://cctraff.ru/123?utm_term=academies+of+loudoun+staff'. This URL is likely used to lure users to a phishing site or download further malicious content. The ML classifier also strongly flagged this PDF as malicious, supporting the phishing/malware distribution 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://cctraff.ru/123?utm_term=academies+of+loudoun+staff In PDF document text
    • https://static.s123-cdn-static.com/uploads/4483839/normal_5fe40c6321fb0.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4414339/normal_5fe9d12fe434e.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4420448/normal_5fb892e582c3c.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4384144/normal_5f8ec5ab3a831.pdfIn PDF document text
    • https://static.s123-cdn-static.com/uploads/4409236/normal_5fe4bb71e9f85.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4460057/normal_5fa92f2572171.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/39cbc1ff-9c83-48f4-96f6-c31af58b3a8b/17241606799.pdfIn PDF document text
    • https://s3.amazonaws.com/panalipolifod/fufofadumodefavusumowewe.pdfIn PDF document text
    • https://s3.amazonaws.com/wonoti/26356034329.pdfIn PDF document text
    • https://s3.amazonaws.com/sukobogixe/broiler_vaccination_program.pdfIn PDF document text
    • https://s3.amazonaws.com/tipakalif/still_standing_cast_members.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/e5177177-5126-4e7f-b7e3-6fd312875d5e/the_studying_hours.pdfIn PDF document text
    • https://s3.amazonaws.com/wupagivoz/jonupalos.pdfIn PDF document text
    • https://s3.amazonaws.com/kubafezin/13170979300.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_off0000d52c.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xD52C 5060 bytes
SHA-256: d5cfdc7b5bf76197a726cc3d5a75f82f7f85e8e1a16f0ef5bf6f8d4e8575cefe
font_01_sfnt_off0000e658.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xE658 10804 bytes
SHA-256: e5de1d618cbc0a8f585124cd1ab6f886ce854611b9800b6dc0231431b99ec85a

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