Malicious PDF — malware analysis report

Static analysis result for SHA-256 121a445099510cee…

MALICIOUS

PDF

66.4 KB Created: 2020-11-23 10:24:00 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-31
MD5: 554deb65fc7e81764199bb2b4787f757 SHA-1: 76c2f7ac19734a897fa0957318485cb9779a6391 SHA-256: 121a445099510cee88f03e31f6aa92104c623cd878c4adc3d671eb19d3beb44d
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=solamente+una+vez+autor'. The ML classifier also strongly flagged this PDF as malicious. While no scripts were extracted, the presence of a malicious URL indicates an attempt to lure the user to a compromised site, consistent with phishing or malware delivery.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9998

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=solamente+una+vez+autor In PDF document text
    • https://cdn-cms.f-static.net/uploads/4411686/normal_5f98d15a1c60d.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4387922/normal_5faa5ce23105d.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4420037/normal_5fb73e2a865ee.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4451231/normal_5fa63fbf91e23.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4367013/normal_5f8ed7880125f.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4459645/normal_5fb751ee25cbc.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4369772/normal_5f9b9b973b5e7.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4401985/normal_5fb685a02741b.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4392441/normal_5fa420a779680.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/tesodagiwor/weather_report_delhi_cantt.pdfIn PDF document text
    • https://s3.amazonaws.com/wesezuzuvalirik/calistenia_app_apk.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/bb105989-37a9-4ab4-b4ae-7ebeaa2b5be9/fast_and_furious_7_720p_dual_audio_free_download.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 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off0000c798.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xC798 4868 bytes
SHA-256: a3ea4387f192b942bd82e664615048e9b03b55be38196ed3c57fa673f27390ef
font_01_sfnt_off0000d819.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xD819 11452 bytes
SHA-256: 8cd11f546b331687c6da85a3a5d323b5fad36b237b47dd4f60cff073a4dbf101

Open this report in the interactive analyzer, or submit your own file for analysis.