Malicious PDF — malware analysis report

Static analysis result for SHA-256 dd2e296f67e3c312…

MALICIOUS

PDF

83.6 KB Created: 2021-02-19 19:31:11 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-09-18
MD5: 118683cd0eac7a8956139c662959be7b SHA-1: 055288c0ed3fd5b42c256888a8585cbdba4e0126 SHA-256: dd2e296f67e3c3128019f0ead41f8bcadb687663e32e71449217818944fabe57
176 Risk Score

Malware Insights

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

The PDF contains a large number of external links, many of which point to other PDFs, suggesting a link farm designed to manipulate search engine results or lead users to malicious content. The ML classifier and ClamAV detection strongly indicate malicious intent, likely related to phishing or scamming operations. While no scripts were directly extracted, the PDF structure and embedded URLs are indicative of a malicious campaign.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9998

Heuristics 6

  • ClamAV: Pdf.Phishing.Trojan-d2568dad23a94d95-d2568dad23a94d95-10044375-0 critical CLAMAV_DETECTION
    ClamAV detected this file as malware: Pdf.Phishing.Trojan-d2568dad23a94d95-d2568dad23a94d95-10044375-0
  • 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.
  • Callback phishing phone lure medium SE_CALLBACK_LURE
    Document asks the user to call a phone number in billing, refund, subscription, fraud, or security context — consistent with callback phishing or tech-support scam patterns. Suppressed for legitimate-issuer (IRS/gov/official-form) documents that carry no urgency or charge/dispute escalation.
  • 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://leonvi.ru/wix?keyword=mathbits+geocaching+answers PDF link annotation
    • https://wefupavoxed.weebly.com/uploads/1/3/2/6/132682659/dulerigeme_pujuvumu_jezozemozug.pdfIn PDF document text
    • http://sozetil.66ghz.com/app_to_music_videos_on_iphone.pdfIn PDF document text
    • https://kesadoxiluxar.weebly.com/uploads/1/3/5/9/135974677/lavisef.pdfIn PDF document text
    • http://wabixekere.iblogger.org/58854871362.pdfIn PDF document text
    • https://fekodajitor.weebly.com/uploads/1/3/0/8/130874258/rosopekobagafoleta.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/goviwigax/afterlight_apk_cracked_latest.pdfIn PDF document text
    • https://s3.amazonaws.com/xilasisefi/simple_past_tense_worksheet.pdfIn PDF document text
    • http://bijasubibivov.rf.gd/44837006872.pdfIn PDF document text
    • http://wedutatitupaze.epizy.com/beauty_and_the_beast_pics.pdfIn PDF document text
    • http://gasadilipebafup.rf.gd/how_do_i_scan_from_my_epson_printer_to_my_computer.pdfIn PDF document text
    • https://s3.amazonaws.com/tulosa/11843584797.pdfIn PDF document text
    • http://sijedopebe.rf.gd/beauty_and_the_beast_piano_duet.pdfIn PDF document text
    • http://loxulipusamirol.epizy.com/how_to_design_ring_security_system.pdfIn PDF document text
    • http://vaguxaza.epizy.com/how_much_does_a_physiology_professor_make.pdfIn PDF document text
    • http://mikesivu.rf.gd/rati_rati_dubhag_rati_assamese_song.pdfIn PDF document text
    • https://s3.amazonaws.com/kefodek/reported_speech_backshift_exercise.pdfIn PDF document text
    • http://lepomosafajuki.rf.gd/braven_bluetooth_speaker_manual.pdfIn PDF document text
    • https://s3.amazonaws.com/fejakixoweka/english_grammar_in_use_app_apk.pdfIn PDF document text
    • https://s3.amazonaws.com/zalisujezajaje/mejujobum.pdfIn PDF document text
    • http://vabitiwobunena.rf.gd/rasoberuxilifebarazizufa.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_off00010ac2.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x10AC2 5268 bytes
SHA-256: 8b75e76ada5d7ea0a1bc5381acaf3dbb5f370c0c31376b1236406ff9cd9ed481
font_01_sfnt_off00011cc4.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x11CC4 10792 bytes
SHA-256: d4d9d17bc9d40a2917a4da6fc50c865000ce92e0d92ece4012aa5a0304e9157a

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