Malicious PDF — malware analysis report

Static analysis result for SHA-256 7a388625e327bddd…

MALICIOUS

PDF

69.5 KB Created: 2020-11-29 10:16:18 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-31
MD5: 12e5ba6e9b54c3fe15362c34c4757072 SHA-1: c4a57d242ab00b51464ed3c4a3dc1af5fd82c4ea SHA-256: 7a388625e327bddd5d28fb547ba9cc32f155e3c0964a81e09fd7179858e58a3e
214 Risk Score

Malware Insights

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

The PDF contains a large number of embedded links, many of which point to redirector infrastructure and link farms. The heuristic PDF_MALICIOUS_REDIRECTOR_LINK and PDF_SEO_LINK_FARM indicate that the primary purpose is to direct users to malicious sites. The ML classifier and ClamAV detection further support its malicious nature, classifying it as a phishing trojan.

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://ggtraff.ru/aws?utm_term=bhindeshi+tara+by+ashes+song In PDF document text
    • https://bolififona.weebly.com/uploads/1/3/4/3/134316640/1bef9.pdfIn PDF document text
    • https://vodiwisilob.weebly.com/uploads/1/3/2/6/132681054/wufoxuni.pdfIn PDF document text
    • https://pisawaramas.weebly.com/uploads/1/3/4/6/134685908/cbb0511a.pdfIn PDF document text
    • http://fontawesome.iohttp://fontawesome.io/license/In 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/2f767d44-c9cb-4bd7-b233-529cb36fa025/13299228497.pdfIn PDF document text
    • https://s3.amazonaws.com/xunilukegez/48381727108.pdfIn PDF document text
    • https://s3.amazonaws.com/zagubip/wpm_typing_test_with_audio.pdfIn PDF document text
    • https://s3.amazonaws.com/juzinaramip/bosufunelelakifu.pdfIn PDF document text
    • https://s3.amazonaws.com/megelugik/g_pen_instruction_manual_liquids.pdfIn PDF document text
    • https://s3.amazonaws.com/fakuguvil/36405952232.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/68d15e88-e7df-4dab-b851-eb8ff4922829/black_and_decker_toaster_convection.pdfIn PDF document text
    • https://s3.amazonaws.com/bunobu/surah_yasin_in_english_file.pdfIn PDF document text
    • https://s3.amazonaws.com/jizubisetebof/waxupigituliwosataga.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/12095359-f6f1-4bb1-939e-2b48f38c0eb3/air_masses_and_fronts_worksheet_answer_key.pdfIn PDF document text
    • https://s3.amazonaws.com/towutoginadivu/everydollar_budget_excel.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
    • http://www.geocities.com/mitra_anirban/hobbies.htmGNUIn PDF document text
    • http://www.gnu.org/copyleft/gpl.htmRegularIn PDF document text

Extracted artifacts 4

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off0000b24c.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xB24C 3036 bytes
SHA-256: aa5372358103b7cc4ef908374b598f052ee1396b52dcf70fa50afca2ab89f292
font_01_sfnt_off0000bf5e.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xBF5E 5348 bytes
SHA-256: 554a8d92f5015f678eed6a63f53be1ece1b0081cdc42ff90926afe54f7ebe81d
font_02_sfnt_off0000d188.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xD188 5204 bytes
SHA-256: d65ab9701226e3e071eb69360bb78eb555fda4d47276bbe9600572fcd33eff8b
font_03_sfnt_off0000e250.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xE250 10992 bytes
SHA-256: 482f1da2d261eade1f38b821d57e1a1b6c1cbef6ce4581a9e4f34b656da57b9a

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