Malicious PDF — malware analysis report

Static analysis result for SHA-256 0954d1126a7431c9…

MALICIOUS

PDF

73.5 KB Created: 2021-02-24 15:01:59 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-14
MD5: 63c77a3f7da6f0f14accf9d29152c2e6 SHA-1: 85eebbd4a4fa842ba2fb0c5a0893c8d585f266a8 SHA-256: 0954d1126a7431c9b76691ee40078f669bdc3102a790a29cccee5a6e084b817d
214 Risk Score

Malware Insights

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

The PDF contains a large number of embedded links pointing to external PDF files, indicating a link farm designed to redirect users. One critical heuristic identified links to known malicious redirector infrastructure, and another flagged the PDF as a link farm. The ML classifier also strongly indicated maliciousness. While no scripts were explicitly extracted, the nature of the embedded links suggests a phishing or malware distribution attempt.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9999

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://crophysi.ru/strik?utm_term=how+to+start+skmei+watch In PDF document text
    • http://com-signto2.xyz/big_little_lies_free_downloadmyjbe.pdfIn PDF document text
    • http://marketop.club/44301331002nrve7.pdfIn PDF document text
    • http://parhelifrl.space/ellipsis_7_case_otterboxrf8tg.pdfIn PDF document text
    • https://kiwiwutirove.weebly.com/uploads/1/3/4/7/134707888/7e6897bb71054.pdfIn PDF document text
    • http://xazivigufimu.22web.org/27165089477.pdfIn PDF document text
    • https://static.s123-cdn-static.com/uploads/4485704/normal_5fee90331c90a.pdfIn PDF document text
    • https://static.s123-cdn-static.com/uploads/4418180/normal_5fccf11d15d10.pdfIn PDF document text
    • https://static.s123-cdn-static.com/uploads/4380210/normal_5ff3cfcae85b3.pdfIn PDF document text
    • http://basvuruizleme.online/verizon_fios_gateway_router_manual6zirf.pdfIn PDF document text
    • http://bioforcecolumbia.site/xbox_360_controller_wired_for_windows_1068nz5.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/xewamejixolefaj/microscopic_anatomy_answers.pdfIn PDF document text
    • https://s3.amazonaws.com/kezemiradigu/77852660577.pdfIn PDF document text
    • https://s3.amazonaws.com/lulelepese/fudge_a_mania_character_traits.pdfIn PDF document text
    • https://s3.amazonaws.com/gopuze/55598151290.pdfIn PDF document text
    • http://nanesipub.rf.gd/abbvie_pipeline.pdfIn PDF document text
    • https://s3.amazonaws.com/sumesawoxajew/aflac_cancer_claim_form_physician_s_statement.pdfIn PDF document text
    • https://s3.amazonaws.com/godewumazek/9847959385.pdfIn PDF document text
    • https://s3.amazonaws.com/xulikamul/89835044058.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_off0000e125.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xE125 5124 bytes
SHA-256: f27898845332f562ee965240b694e1dc2555c5c5d82d331d7da4b6e8ba93bc1d
font_01_sfnt_off0000f276.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xF276 11464 bytes
SHA-256: 4668362a8dce35fe3118ebc0298c4f20486291e0b466079a3c2ac5e75afc98ef

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