Malicious PDF — malware analysis report

Static analysis result for SHA-256 71e2ee1de43499d8…

MALICIOUS

PDF

71.6 KB Created: 2021-03-30 05:29:25 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: e12b9fcb16c3c687194dd0dd8b05eabe SHA-1: d071c2093b00f2237930043bfd3950fcb07c0ec3 SHA-256: 71e2ee1de43499d8fc586017312548a1450c6de6237fb110f33c2f3512ef9530
156 Risk Score

Malware Insights

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

The PDF contains a large number of external links, many pointing to Weebly and S3-hosted PDFs, indicative of a link farm or phishing campaign. The ClamAV detection and ML classifier strongly suggest malicious intent. While no scripts were explicitly extracted, the PDF structure and numerous external URLs suggest it is designed to redirect users to malicious content, likely for phishing or malware delivery.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9991

Heuristics 5

  • 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.
  • ClamAV: Pdf.Phishing.Trojan-d2568dad23a94d95-d2568dad23a94d95-10044375-0 critical CLAMAV_DETECTION
    ClamAV detected this file as malware: Pdf.Phishing.Trojan-d2568dad23a94d95-d2568dad23a94d95-10044375-0
  • External URI info PDF_URI
    PDF contains an external URL action
  • 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://resalured.ru/123?utm_term=ffxiv+aethersand+guide
    • https://kefubawivamati.weebly.com/uploads/1/3/5/3/135304753/kepuvogigi-bosot-gazexavowezini-domenuxub.pdf
    • https://cdn.sqhk.co/zokuzadisup/igcjjQY/boo_monsters_inc_toy_story_4.pdf
    • https://static.s123-cdn-static.com/uploads/4375703/normal_600406dac59f7.pdf
    • https://cdn-cms.f-static.net/uploads/4449392/normal_603649bd6037a.pdf
    • https://cdn.sqhk.co/gefimiwotux/9ia9ggm/nora_fatehi_video_song_dilbar.pdf
    • https://juladuwupib.weebly.com/uploads/1/3/4/7/134763366/duros-nokazudiputa.pdf
    • https://ziliseze.weebly.com/uploads/1/3/4/8/134855349/7c318b36563.pdf
    • https://fiwarurebel.weebly.com/uploads/1/3/2/8/132814972/wujamu.pdf
    • https://cdn.sqhk.co/regisanozoxo/4genSij/personal_financial_planning_budget_template.pdf
    • https://lifunakejeka.weebly.com/uploads/1/3/4/3/134358873/2552012.pdf
    • https://cdn.sqhk.co/lekusovu/4yjaieW/ben_10_omniverse_4k_wallpaper.pdf
    • https://cdn.sqhk.co/zukasedu/hijgejh/8138513660.pdf
    • https://cdn.sqhk.co/lulamekajasu/ifRygdI/34779634213.pdf
    • https://cdn.sqhk.co/nupegefozub/njdT3hd/bigfm_radio_playlist_heute.pdf
    • https://cdn-cms.f-static.net/uploads/4445333/normal_600db82be7e3c.pdf
    • https://cdn.sqhk.co/vilitemeru/dieUdhi/39196052056.pdf
    • https://cdn-cms.f-static.net/uploads/4479212/normal_602c4cd5ad67d.pdf
    • http://www.ascendercorp.com/
    • http://www.ascendercorp.com/typedesigners.html
    • https://s3.amazonaws.com/susonanezaj/naserek.pdf
    • https://s3.amazonaws.com/tidigudetefumof/4860767349.pdf
    • https://s3.amazonaws.com/nademopor/nomanijur.pdf
    • https://s3.amazonaws.com/jikopot/36752078651.pdf
    • https://s3.amazonaws.com/xapidajovaji/27585169030.pdf
    • https://s3.amazonaws.com/wogikokuzotaxa/47066778760.pdf
    • https://s3.amazonaws.com/bededuxotulapil/machine_learning_algorithms_for_sales_prediction.pdf
    • http://www.w3.org/1999/02/22-rdf-syntax-ns#
    • http://purl.org/dc/elements/1.1/
    • http://ns.adobe.com/pdf/1.3/
    • http://ns.adobe.com/xap/1.0/
    • http://ns.adobe.com/xap/1.0/mm/
    • http://ns.adobe.com/xap/1.0/rights/
    • http://scripts.sil.org/OFL

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off0000d92f.bin
0a442cf53f619c7be516ae5e08ac2d74efec9e12f848f764538a26e8debb9bbe		 pdf-font-stream PDF embedded font (sfnt) at offset 0xD92F 5220 bytes
font_01_sfnt_off0000eaff.bin
4a724251bda2578e854295d23134faec57c795d119c770c60ec7b75a6b1721de		 pdf-font-stream PDF embedded font (sfnt) at offset 0xEAFF 10696 bytes

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