Malicious PDF — malware analysis report

Static analysis result for SHA-256 6152ca0a2b3a4547…

MALICIOUS

PDF

73.8 KB Created: 2020-12-26 01:51:53 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-11-02
MD5: afddd3896e2567ac2fce300988fc02f0 SHA-1: 7e9654a037cc821b93748daf891922c75006950d SHA-256: 6152ca0a2b3a4547892093fbf6877c911d0c50ea9250c73ff179776b673f0694
214 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment

This PDF file was flagged by multiple heuristics, including ClamAV and an ML classifier, as malicious. It contains a large number of embedded links, many of which point to redirector infrastructure or unknown URLs, suggesting a phishing or scam campaign. The primary malicious URL identified is https://gettraff.ru/aws?utm_term=viber++uptodown+old+version.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9998

Heuristics 5

  • 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.
  • Small PDF contains mass external PDF link farm critical PDF_SEO_LINK_FARM
    Small PDF contains many clickable external PDF links, mostly clustered on one host. This matches generated SEO/link-farm PDF carriers used to route users into malicious or unwanted-software delivery chains, rather than a normal document citation pattern.
  • 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/aws?utm_term=viber++uptodown+old+version In PDF document text
    • https://nunezexivu.weebly.com/uploads/1/3/4/4/134440215/segazemuzowugoriva.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4375344/normal_5f8a5f372a5a3.pdfIn PDF document text
    • https://nidukonijeso.weebly.com/uploads/1/3/1/3/131381088/kalop.pdfIn PDF document text
    • https://pefodiral.weebly.com/uploads/1/3/4/4/134476409/rujuda.pdfIn PDF document text
    • https://cdn.sqhk.co/deguxikezu/fig4igE/xekigoloruzelowixanujog.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4420239/normal_5fad3ee7297f5.pdfIn PDF document text
    • https://divekoworubu.weebly.com/uploads/1/3/4/0/134017674/ropoxejirixu.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/05d1bd19-1e66-4bf3-9034-8f93f1510153/the_taming_of_the_shrew_sparknotes_act_1_scene_2.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/df4e7381-17b0-48ab-bda0-c95bc6874b6a/wish_me_luck_meaning_in_english.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/bc490e6e-aada-4854-9e35-57b72e4b7091/77200306820.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/4ac48c70-a704-4eea-8a86-35f19417d454/mi_ex_mira_mis_estados.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/9258d5a7-3d68-4c43-8d5a-ddc01464f7aa/lejovebugukasukorepubape.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/64ab1988-a7aa-486b-9231-999d0e84fb86/29873861511.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/8382c045-2f35-4325-ae88-9ff932ca971c/83215374908.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/762606f4-0c40-4217-97ee-515cc944fb7c/mean_street_ministry.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/ffbe4b93-286c-4e7f-8d79-a0c8a6bb79b0/fojan.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_off0000e89a.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xE89A 5000 bytes
SHA-256: 0bddd43b4ef713f8a4780bdba083001d9972d1693a62aa6ca81afff89b8b128f
font_01_sfnt_off0000f9be.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xF9BE 9504 bytes
SHA-256: e12640ea2d011d5a5d128e47c516883c05f8faeb9e7aaeea607f564cbb9f7fa8

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