Malicious PDF — malware analysis report

Static analysis result for SHA-256 c87d0a6ec04a597d…

MALICIOUS

PDF

77.6 KB Created: 2020-12-17 00:55:21 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-09-16
MD5: 1322ac94a7ae46f346b3efff42e5b1f7 SHA-1: 940911a564579c60ac12afac95233980ccf4d8bb SHA-256: c87d0a6ec04a597d45312834a6738ce6ce577f983c1d04b9e6de6f112b481e92
214 Risk Score
Tags
free-cdn-ebook-manual-lure

Malware Insights

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

The PDF contains a large number of embedded links, many pointing to S3 buckets and other benign-looking PDFs, but also includes a critical link to a known malicious redirector. This indicates a link farm or phishing lure designed to direct users to malicious infrastructure. The ClamAV detection and ML classifier further support its malicious nature.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9996

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/strik?utm_term=om+namah+shivaya+meaning+in+hindi In PDF document text
    • https://dituxunejew.weebly.com/uploads/1/3/4/3/134324597/5930390.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4492901/normal_5fb48269c347d.pdfIn PDF document text
    • https://voxonevixes.weebly.com/uploads/1/3/4/3/134383310/e10e7.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
    • http://fedorahosted.org/lohitIn PDF document text
    • https://s3.amazonaws.com/zeworibuzoza/introduction_to_macroeconomics_questions_and_answers.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/785e9605-2664-428a-82a4-4470eb84c5d4/99182286392.pdfIn PDF document text
    • https://s3.amazonaws.com/fojaxexino/tetonawijawotokabul.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/85cfb01e-ac56-42a6-8cea-bf4ed1bc743d/astm_b_813.pdfIn PDF document text
    • https://s3.amazonaws.com/besafefaf/warezurutivoj.pdfIn PDF document text
    • https://s3.amazonaws.com/gotijejaj/cancer_hospital_architecture_design.pdfIn PDF document text
    • https://s3.amazonaws.com/gotenukevepunin/schnellster_boxenstopp_formel_1_2018.pdfIn PDF document text
    • https://s3.amazonaws.com/ronenitevodo/free_video_views_for_instagram_apk_mod.pdfIn PDF document text
    • https://s3.amazonaws.com/jujojomojemiz/ap_5131_firmware.pdfIn PDF document text
    • https://s3.amazonaws.com/jevelel/cat_skin_2017_movie.pdfIn PDF document text
    • https://s3.amazonaws.com/wipotegadodorek/vejiga_hiperactiva_tratamiento.pdfIn PDF document text
    • https://s3.amazonaws.com/henghuili-files2/36858717582.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 4

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off0000d655.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xD655 4900 bytes
SHA-256: a71b23cd04b4dee262ea3d622699efd05ef471e8cea2e9b32f582600094a9433
font_01_sfnt_off0000e6cb.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xE6CB 11640 bytes
SHA-256: 27227c8431c7fef553ba61e9798d4fb352922836604374f0bbb0e7fed91d3879
font_02_sfnt_off00010c8a.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x10C8A 4324 bytes
SHA-256: 0d0f64e27578eb124b8bc81c7eceacdd166e22eddd95c81328e9fbd7de2a6333
font_03_sfnt_off00011a8a.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x11A8A 3832 bytes
SHA-256: e485fd1538239e4eee1565214f74d6cadd5a5d964876aa56f79f7c5f4b4b20f7

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