Malicious PDF — malware analysis report

Static analysis result for SHA-256 58dcf8951519d45b…

MALICIOUS

PDF

81.7 KB Created: 2021-02-28 12:40:14 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-26
MD5: c12e2e59de6d64811db765a3d8745094 SHA-1: b224c19188acb13553ee8abb026c410f022863de SHA-256: 58dcf8951519d45b4cd22729c61dda4e5abd015345a43fba598ffb24ac626466
214 Risk Score

Malware Insights

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

The PDF contains a large number of embedded links, with critical heuristics identifying it as a malicious redirector and a link farm. The ML classifier and ClamAV detection strongly indicate malicious intent. While no scripts were extracted, the PDF structure itself is used to host and present these malicious links, likely as part of a phishing or SEO poisoning campaign.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9998

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/wix?keyword=gotv+tv+guide+zee+world In PDF document text
    • http://julivojurukumu.sportsontheweb.net/double_dabble_algorithm.pdfIn PDF document text
    • https://mazegiwekode.weebly.com/uploads/1/3/4/5/134529082/jatujitabufibuw.pdfIn PDF document text
    • https://cdn.sqhk.co/wukikanas/aOef7je/mirin_substitute_cooking.pdfIn PDF document text
    • https://xododasewa.weebly.com/uploads/1/3/4/6/134600374/tuxoseregabus.pdfIn PDF document text
    • https://nusuxoxoli.weebly.com/uploads/1/3/2/7/132710665/nawovakidafebo.pdfIn PDF document text
    • https://cdn.sqhk.co/vanewano/qLgeNhd/heart_atrial_appendage.pdfIn PDF document text
    • https://cdn.sqhk.co/luwagoma/cIsA1hs/cooking_fever_pc_gameplay.pdfIn PDF document text
    • http://kubadedo.iblogger.org/zowiratagosisimi.pdfIn PDF document text
    • https://jedadizonavo.weebly.com/uploads/1/3/4/7/134721040/tubisu.pdfIn PDF document text
    • https://cdn.sqhk.co/sisadenev/ghdAnjd/20th_century_alternate_history.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • http://lemopuzawematex.rf.gd/69844183739.pdfIn PDF document text
    • https://s3.amazonaws.com/vokeri/ramogurijenulemape.pdfIn PDF document text
    • https://s3.amazonaws.com/lowuwofuxali/mexegiluvavibitadive.pdfIn PDF document text
    • http://verulufana.rf.gd/catlogo_natura_ciclo_9_2019.pdfIn PDF document text
    • https://s3.amazonaws.com/gifiz/how_to_add_mp3_to_iphone_without_computer.pdfIn PDF document text
    • https://s3.amazonaws.com/xetasif/how_to_speak_french_basics.pdfIn PDF document text
    • https://s3.amazonaws.com/tanapilamaxi/bsf_online_form_sarkari_result.pdfIn PDF document text
    • https://s3.amazonaws.com/gotenukevepunin/aashiqui_2_movie_dialogue_status.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 3

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off0000f5eb.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xF5EB 3664 bytes
SHA-256: e1308eae8c6c43840c284de256843e1d5ee1ab30e748f2edd9e38992d7f950a1
font_01_sfnt_off000102f3.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x102F3 4836 bytes
SHA-256: bf241bad047fee2c53841994e07601ee37b8603b58388aaa485e06fac4a240f3
font_02_sfnt_off00011399.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x11399 11136 bytes
SHA-256: 638abf3519f554ca61f7887b70d09610fb2978270914eb1639db66ef8060bad2

Open this report in the interactive analyzer, or submit your own file for analysis.