Malicious PDF — malware analysis report

Static analysis result for SHA-256 cf503fae28facad4…

MALICIOUS

PDF

70.5 KB Created: 2020-11-14 09:31:59 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-26
MD5: 8ee3a8efce2c7c3aa84d3118dcfcc274 SHA-1: 1e98858907d6ffea3461eb086d65d9b36f963a81 SHA-256: cf503fae28facad41e830c33d6d33d154e95e2bbd1d3c8647b9d084c2e6fa4bc
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=speech+and+debate+monologue'. This indicates the document's primary purpose is to lure the user to this malicious site. The ML classifier also strongly flagged this PDF as malicious, supporting the assessment of a phishing or malware distribution attempt.

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=speech+and+debate+monologue In PDF document text
    • https://cdn-cms.f-static.net/uploads/4421040/normal_5fa6ebf2e8e8b.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4370071/normal_5f89ada475605.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4368240/normal_5f8892e6e4ffa.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4449205/normal_5f9efb2dcfecb.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4382949/normal_5f91e2b62f7df.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://uploads.strikinglycdn.com/files/e2783886-d80a-4065-94bf-04855ec5f328/devoxenotu.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/02055e13-91e4-4784-8b2e-881def080309/how_to_set_up_philips_universal_remote.pdfIn PDF document text
    • https://s3.amazonaws.com/loxopudizus/21239233030.pdfIn PDF document text
    • https://s3.amazonaws.com/tosasugokod/avast_free_antivirus_with_license_key_free.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/63a09d59-623e-4a6d-9206-c0a9a4fd6e3a/hertz_rental_receipts.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/fec38f1b-2a59-4fa4-9ddc-1ad3d5e40c5f/gta_5_android_apk_data_download_apkpure.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_off0000c7e8.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xC7E8 5288 bytes
SHA-256: bdc4506ea5230d801999652a5f135aa172530fcd239ee5667474d884197ba51a
font_01_sfnt_off0000d9b5.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xD9B5 11220 bytes
SHA-256: fd2861fbb2cbff16f8c121337dc96336f8e3cc559fd8046cace75153938ac5cb
font_02_sfnt_off0000ff8c.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xFF8C 4324 bytes
SHA-256: a542ec26cea93e049a2e27cd59b1347dd9bbdea13775fd7b822b3c2b3136116f

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