{"id":2590,"date":"2026-06-24T11:42:23","date_gmt":"2026-06-24T09:42:23","guid":{"rendered":"https:\/\/finanz-forensik.de\/?page_id=2590"},"modified":"2026-06-24T12:19:11","modified_gmt":"2026-06-24T10:19:11","slug":"crypto-fraud-germany","status":"publish","type":"page","link":"https:\/\/finanz-forensik.de\/en\/whitepaper\/krypto-betrug-deutschland\/","title":{"rendered":"Crypto fraud in Germany"},"content":{"rendered":"<div data-elementor-type=\"wp-page\" data-elementor-id=\"2590\" class=\"elementor elementor-2590\" data-elementor-post-type=\"page\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3269b8bf e-flex e-con-boxed e-con e-parent\" data-id=\"3269b8bf\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;gradient&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-45b96264 e-con-full e-flex e-con e-child\" data-id=\"45b96264\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-2e307791 e-con-full e-flex e-con e-child\" data-id=\"2e307791\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-408627a7 elementor-widget__width-initial elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"408627a7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-28632f6d eyebrow elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"28632f6d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-heading-title elementor-size-default\">Research Report No. 04 \u00b7 Study &amp; Market Analysis<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ad8f775 elementor-widget elementor-widget-heading\" data-id=\"ad8f775\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">Crypto fraud in Germany: Damages of up to 1.3 billion euros per year<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5646c558 elementor-widget__width-initial elementor-widget-mobile__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"5646c558\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p style=\"color:#cdddea;font-size:19px;line-height:1.6;\">How high is the economic damage caused by crypto fraud in Germany? A data-based estimate using police, regulatory, and international complaint data.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-564b260d e-con-full e-grid e-con e-child\" data-id=\"564b260d\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-3f609966 e-con-full e-flex e-con e-child\" data-id=\"3f609966\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-30fb37ca elementor-widget elementor-widget-heading\" data-id=\"30fb37ca\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-heading-title elementor-size-default\">\u20ac0.80 billion<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4c66cd68 elementor-widget elementor-widget-text-editor\" data-id=\"4c66cd68\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Direct damage per year (central scenario)<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-2e22d102 e-con-full e-flex e-con e-child\" data-id=\"2e22d102\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-35ffdd77 elementor-widget elementor-widget-heading\" data-id=\"35ffdd77\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-heading-title elementor-size-default\">\u2248 \u20ac39,500<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-41b31cec elementor-widget elementor-widget-text-editor\" data-id=\"41b31cec\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Average damage per case<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-60102eb6 e-con-full e-flex e-con e-child\" data-id=\"60102eb6\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-35b10fc3 elementor-widget elementor-widget-heading\" data-id=\"35b10fc3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-heading-title elementor-size-default\">56 %<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-582127b9 elementor-widget elementor-widget-text-editor\" data-id=\"582127b9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Percentage of investment\/cyber trading fraud<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-607541f2 e-con-full e-flex e-con e-child\" data-id=\"607541f2\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-70dbe53b elementor-widget elementor-widget-heading\" data-id=\"70dbe53b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-heading-title elementor-size-default\">\u20ac0.45\u20131.30 billion<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ffc5570 elementor-widget elementor-widget-text-editor\" data-id=\"ffc5570\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Range of direct annual damage<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-64e6375f e-con-full e-flex e-con e-child\" data-id=\"64e6375f\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2bebaa51 elementor-align-left elementor-mobile-align-justify elementor-widget-mobile__width-inherit elementor-widget elementor-widget-button\" data-id=\"2bebaa51\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/finanz-forensik.de\/wp-content\/uploads\/2026\/06\/Whitepaper_Krypto-Betrug-Deutschland_Finanz-Forensik.pdf\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon\">\n\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M21 15v4a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2v-4\"><\/path><polyline points=\"7 10 12 15 17 10\"><\/polyline><line x1=\"12\" y1=\"15\" x2=\"12\" y2=\"3\"><\/line><\/svg>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Full study (PDF)<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-10520ed8 elementor-align-left elementor-mobile-align-justify elementor-widget-mobile__width-inherit elementor-widget elementor-widget-button\" data-id=\"10520ed8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"#summary\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Read online<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-48c0a455 e-con-full e-flex e-con e-child\" data-id=\"48c0a455\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7f076af0 elementor-widget elementor-widget-image\" data-id=\"7f076af0\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"434\" height=\"760\" src=\"https:\/\/finanz-forensik.de\/wp-content\/uploads\/2026\/06\/kb-cover.jpg\" class=\"attachment-full size-full wp-image-2577\" alt=\"Neon-outlined map of Germany filled with starry lights against a dark blue, networked background.\" srcset=\"https:\/\/finanz-forensik.de\/wp-content\/uploads\/2026\/06\/kb-cover.jpg 434w, https:\/\/finanz-forensik.de\/wp-content\/uploads\/2026\/06\/kb-cover-171x300.jpg 171w, https:\/\/finanz-forensik.de\/wp-content\/uploads\/2026\/06\/kb-cover-7x12.jpg 7w\" sizes=\"auto, (max-width: 434px) 100vw, 434px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-42197f51 elementor-widget__width-auto elementor-absolute elementor-widget elementor-widget-text-editor\" data-id=\"42197f51\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;_position&quot;:&quot;absolute&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Study 2026<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-2ab812cd e-flex e-con-boxed e-con e-parent\" data-id=\"2ab812cd\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-1b3b09d0 e-con-full e-flex e-con e-child\" data-id=\"1b3b09d0\" data-element_type=\"container\" data-e-type=\"container\" id=\"summary\">\n\t\t<div class=\"elementor-element elementor-element-f99eab5 e-con-full e-flex e-con e-child\" data-id=\"f99eab5\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2aea3835 elementor-widget elementor-widget-text-editor\" data-id=\"2aea3835\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Executive Summary<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6c275486 elementor-widget elementor-widget-text-editor\" data-id=\"6c275486\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li><b>Direct damage:<\/b>\u00a0\u20ac0.45\u20131.30 billion per year, central scenario around \u20ac0.80 billion.<\/li><li><b>Economic perspective:<\/b>\u00a0\u20ac0.52\u20132.08 billion per year including investigation, compliance and trust costs (central \u20ac1.08 billion).<\/li><li><b>Per case:<\/b>\u00a0Average around \u20ac39,500 \u2014 but the median is significantly lower (heavy-tailed distribution).<\/li><li><b>Dominance:<\/b>\u00a0Investment\/Ponzi\/cybertrading fraud causes approximately 56 % of the direct losses.<\/li><li><b>Data situation:<\/b>\u00a0fragmented \u2014 no nationwide crypto fraud statistics; reliable data mainly from Saxony, Rhineland-Palatinate, Bavaria.<\/li><li><b>Unreported figures:<\/b>\u00a0high \u2014 any estimate is more of a lower limit than an upper limit.<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-40f1d19 elementor-widget elementor-widget-heading\" data-id=\"40f1d19\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><span class=\"n\">01<\/span> Amount of damage and dominant types of fraud<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5afe4a38 elementor-widget elementor-widget-text-editor\" data-id=\"5afe4a38\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>The most robust German evidence concerns investment, Ponzi, and cybertrading cases. The arithmetic mean losses per completed case are consistently in the mid-five-figure range: Saxony registered nearly 4,800 cybertrading cases between 2019 and 2024, with losses totaling \u20ac190.5 million (approximately \u20ac39,700 per case), while Upper Bavaria North recorded around \u20ac42,000 per case. Large-scale investigations reveal the prevalence of right-wing extremism: \u20ac28.6 million in losses for 235 victims, averaging \u20ac122,000 per victim.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bb71b88 elementor-widget elementor-widget-html\" data-id=\"bb71b88\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<figure style=\"margin:26px 0;\"><div style=\"background:#fff;border:1px solid #E5E7EB;border-radius:8px;padding:20px 18px;\"><svg viewbox=\"0 0 720 305\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" style=\"width:100%;height:auto;font-family:Outfit,sans-serif;\"><text x=\"220\" y=\"24.5\" text-anchor=\"end\" font-size=\"13\" font-weight=\"600\" fill=\"#1E3A5F\">SIM swap<\/text><rect x=\"232\" y=\"8\" width=\"424\" height=\"25\" rx=\"4\" fill=\"#EEF3F7\"\/><rect x=\"232\" y=\"8\" width=\"424.0\" height=\"25\" rx=\"4\" fill=\"#1E3A5F\"\/><text x=\"664.0\" y=\"24.5\" font-size=\"13\" font-weight=\"700\" fill=\"#1E3A5F\">45<\/text><text x=\"220\" y=\"57.5\" text-anchor=\"end\" font-size=\"13\" font-weight=\"600\" fill=\"#1E3A5F\">Investment \/ Cyber Trading<\/text><rect x=\"232\" y=\"41\" width=\"424\" height=\"25\" rx=\"4\" fill=\"#EEF3F7\"\/><rect x=\"232\" y=\"41\" width=\"376.9\" height=\"25\" rx=\"4\" fill=\"#2D9CDB\"\/><text x=\"616.9\" y=\"57.5\" font-size=\"13\" font-weight=\"700\" fill=\"#1E3A5F\">40<\/text><text x=\"220\" y=\"90.5\" text-anchor=\"end\" font-size=\"13\" font-weight=\"600\" fill=\"#1E3A5F\">Romance \/ Pig-Butchering<\/text><rect x=\"232\" y=\"74\" width=\"424\" height=\"25\" rx=\"4\" fill=\"#EEF3F7\"\/><rect x=\"232\" y=\"74\" width=\"301.5\" height=\"25\" rx=\"4\" fill=\"#2D9CDB\"\/><text x=\"541.5\" y=\"90.5\" font-size=\"13\" font-weight=\"700\" fill=\"#1E3A5F\">32<\/text><text x=\"220\" y=\"123.5\" text-anchor=\"end\" font-size=\"13\" font-weight=\"600\" fill=\"#1E3A5F\">ICO \/ Token Scams<\/text><rect x=\"232\" y=\"107\" width=\"424\" height=\"25\" rx=\"4\" fill=\"#EEF3F7\"\/><rect x=\"232\" y=\"107\" width=\"207.3\" height=\"25\" rx=\"4\" fill=\"#2D9CDB\"\/><text x=\"447.3\" y=\"123.5\" font-size=\"13\" font-weight=\"700\" fill=\"#1E3A5F\">22<\/text><text x=\"220\" y=\"156.5\" text-anchor=\"end\" font-size=\"13\" font-weight=\"600\" fill=\"#1E3A5F\">Impersonation \/ Task \/ Support<\/text><rect x=\"232\" y=\"140\" width=\"424\" height=\"25\" rx=\"4\" fill=\"#EEF3F7\"\/><rect x=\"232\" y=\"140\" width=\"188.4\" height=\"25\" rx=\"4\" fill=\"#2D9CDB\"\/><text x=\"428.4\" y=\"156.5\" font-size=\"13\" font-weight=\"700\" fill=\"#1E3A5F\">20<\/text><text x=\"220\" y=\"189.5\" text-anchor=\"end\" font-size=\"13\" font-weight=\"600\" fill=\"#1E3A5F\">Fake Exchange \/ Recovery<\/text><rect x=\"232\" y=\"173\" width=\"424\" height=\"25\" rx=\"4\" fill=\"#EEF3F7\"\/><rect x=\"232\" y=\"173\" width=\"160.2\" height=\"25\" rx=\"4\" fill=\"#2D9CDB\"\/><text x=\"400.2\" y=\"189.5\" font-size=\"13\" font-weight=\"700\" fill=\"#1E3A5F\">17<\/text><text x=\"220\" y=\"222.5\" text-anchor=\"end\" font-size=\"13\" font-weight=\"600\" fill=\"#1E3A5F\">Rug Pulls<\/text><rect x=\"232\" y=\"206\" width=\"424\" height=\"25\" rx=\"4\" fill=\"#EEF3F7\"\/><rect x=\"232\" y=\"206\" width=\"141.3\" height=\"25\" rx=\"4\" fill=\"#2D9CDB\"\/><text x=\"381.3\" y=\"222.5\" font-size=\"13\" font-weight=\"700\" fill=\"#1E3A5F\">15<\/text><text x=\"220\" y=\"255.5\" text-anchor=\"end\" font-size=\"13\" font-weight=\"600\" fill=\"#1E3A5F\">Phishing \/ Account<\/text><rect x=\"232\" y=\"239\" width=\"424\" height=\"25\" rx=\"4\" fill=\"#EEF3F7\"\/><rect x=\"232\" y=\"239\" width=\"94.2\" height=\"25\" rx=\"4\" fill=\"#2D9CDB\"\/><text x=\"334.2\" y=\"255.5\" font-size=\"13\" font-weight=\"700\" fill=\"#1E3A5F\">10<\/text><text x=\"220\" y=\"288.5\" text-anchor=\"end\" font-size=\"13\" font-weight=\"600\" fill=\"#1E3A5F\">Mining \/ Cloud Mining<\/text><rect x=\"232\" y=\"272\" width=\"424\" height=\"25\" rx=\"4\" fill=\"#EEF3F7\"\/><rect x=\"232\" y=\"272\" width=\"94.2\" height=\"25\" rx=\"4\" fill=\"#2D9CDB\"\/><text x=\"334.2\" y=\"288.5\" font-size=\"13\" font-weight=\"700\" fill=\"#1E3A5F\">10<\/text><\/svg><\/div><figcaption style=\"font-size:13.5px;color:#7a8696;line-height:1.5;padding-top:10px;border-top:1px solid #E5E7EB;margin-top:10px;\"><b style=\"color:#1E3A5F;\">Average damage per case (in thousands of euros).<\/b> Observed German mass-market series for investment\/cybertrading; other values as calibrated estimate ranges. Per-case average \u2260 share of total loss.<\/figcaption><\/figure>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9281dd2 elementor-widget elementor-widget-text-editor\" data-id=\"9281dd2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Important: Read the mean and median separately. The mean (\u2248 \u20ac39,500) drives the total amount in the economy; the median\u2014due to many small initial deposits of \u20ac250\u2013500 and fewer large six- to seven-figure cases\u2014is modeled to be closer to \u20ac8,000\u201312,000.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5271b91 elementor-widget elementor-widget-heading\" data-id=\"5271b91\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><span class=\"n\">02<\/span> Share of the total damage<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-367486cc elementor-widget elementor-widget-text-editor\" data-id=\"367486cc\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Investment\/cybertrading fraud dominates the distribution of losses. In the IC3 dataset for 2024, 5.82 billion of the 9.32 billion USD in crypto losses were attributable to investment fraud (\u2248 62 %). For Germany, the figure is deliberately set conservatively at 56 % to separately report pig butchering, fake exchange\/recovery schemes, and other crypto payment scams.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2c8bc550 elementor-widget elementor-widget-html\" data-id=\"2c8bc550\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<figure style=\"margin:26px 0;\"><div style=\"background:#fff;border:1px solid #E5E7EB;border-radius:8px;padding:20px 18px;\"><svg viewbox=\"0 0 560 248\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" style=\"width:100%;height:auto;\"><circle cx=\"116\" cy=\"116\" r=\"84\" fill=\"none\" stroke=\"#1E3A5F\" stroke-width=\"34\" stroke-dasharray=\"295.56 232.23\" stroke-dashoffset=\"-0.00\" transform=\"rotate(-90 116 116)\"\/><circle cx=\"116\" cy=\"116\" r=\"84\" fill=\"none\" stroke=\"#2D9CDB\" stroke-width=\"34\" stroke-dasharray=\"73.89 453.90\" stroke-dashoffset=\"-295.56\" transform=\"rotate(-90 116 116)\"\/><circle cx=\"116\" cy=\"116\" r=\"84\" fill=\"none\" stroke=\"#56CCF2\" stroke-width=\"34\" stroke-dasharray=\"42.22 485.56\" stroke-dashoffset=\"-369.45\" transform=\"rotate(-90 116 116)\"\/><circle cx=\"116\" cy=\"116\" r=\"84\" fill=\"none\" stroke=\"#B0892F\" stroke-width=\"34\" stroke-dasharray=\"36.95 490.84\" stroke-dashoffset=\"-411.67\" transform=\"rotate(-90 116 116)\"\/><circle cx=\"116\" cy=\"116\" r=\"84\" fill=\"none\" stroke=\"#C9A24B\" stroke-width=\"34\" stroke-dasharray=\"31.67 496.12\" stroke-dashoffset=\"-448.62\" transform=\"rotate(-90 116 116)\"\/><circle cx=\"116\" cy=\"116\" r=\"84\" fill=\"none\" stroke=\"#7FB8DC\" stroke-width=\"34\" stroke-dasharray=\"21.11 506.68\" stroke-dashoffset=\"-480.29\" transform=\"rotate(-90 116 116)\"\/><circle cx=\"116\" cy=\"116\" r=\"84\" fill=\"none\" stroke=\"#3E6491\" stroke-width=\"34\" stroke-dasharray=\"15.83 511.95\" stroke-dashoffset=\"-501.40\" transform=\"rotate(-90 116 116)\"\/><circle cx=\"116\" cy=\"116\" r=\"84\" fill=\"none\" stroke=\"#9DB6C9\" stroke-width=\"34\" stroke-dasharray=\"7.92 519.87\" stroke-dashoffset=\"-517.23\" transform=\"rotate(-90 116 116)\"\/><circle cx=\"116\" cy=\"116\" r=\"84\" fill=\"none\" stroke=\"#C9D6E0\" stroke-width=\"34\" stroke-dasharray=\"2.64 525.15\" stroke-dashoffset=\"-525.15\" transform=\"rotate(-90 116 116)\"\/><text x=\"116\" y=\"112\" text-anchor=\"middle\" font-size=\"30\" font-weight=\"800\" fill=\"#1E3A5F\" font-family=\"Outfit,sans-serif\">56%<\/text><text x=\"116\" y=\"134\" text-anchor=\"middle\" font-size=\"11\" letter-spacing=\"1\" fill=\"#B0892F\" font-family=\"Outfit,sans-serif\">INVESTMENT<\/text><rect x=\"290\" y=\"11\" width=\"13\" height=\"13\" rx=\"2\" fill=\"#1E3A5F\"\/><text x=\"312\" y=\"22\" font-size=\"13.5\" fill=\"#2D3748\" font-family=\"Open Sans,sans-serif\">Investment \/ Cyber Trading<\/text><text x=\"548\" y=\"22\" font-size=\"13.5\" font-weight=\"700\" text-anchor=\"end\" fill=\"#1E3A5F\" font-family=\"Outfit,sans-serif\">56 %<\/text><rect x=\"290\" y=\"36\" width=\"13\" height=\"13\" rx=\"2\" fill=\"#2D9CDB\"\/><text x=\"312\" y=\"47\" font-size=\"13.5\" fill=\"#2D3748\" font-family=\"Open Sans,sans-serif\">Romance \/ Pig-Butchering<\/text><text x=\"548\" y=\"47\" font-size=\"13.5\" font-weight=\"700\" text-anchor=\"end\" fill=\"#1E3A5F\" font-family=\"Outfit,sans-serif\">14 %<\/text><rect x=\"290\" y=\"61\" width=\"13\" height=\"13\" rx=\"2\" fill=\"#56CCF2\"\/><text x=\"312\" y=\"72\" font-size=\"13.5\" fill=\"#2D3748\" font-family=\"Open Sans,sans-serif\">Fake Exchanges \/ Recovery<\/text><text x=\"548\" y=\"72\" font-size=\"13.5\" font-weight=\"700\" text-anchor=\"end\" fill=\"#1E3A5F\" font-family=\"Outfit,sans-serif\">8 %<\/text><rect x=\"290\" y=\"86\" width=\"13\" height=\"13\" rx=\"2\" fill=\"#B0892F\"\/><text x=\"312\" y=\"97\" font-size=\"13.5\" fill=\"#2D3748\" font-family=\"Open Sans,sans-serif\">Phishing \/ Account Compromise<\/text><text x=\"548\" y=\"97\" font-size=\"13.5\" font-weight=\"700\" text-anchor=\"end\" fill=\"#1E3A5F\" font-family=\"Outfit,sans-serif\">7 %<\/text><rect x=\"290\" y=\"111\" width=\"13\" height=\"13\" rx=\"2\" fill=\"#C9A24B\"\/><text x=\"312\" y=\"122\" font-size=\"13.5\" fill=\"#2D3748\" font-family=\"Open Sans,sans-serif\">Impersonation \/ Task \/ Support<\/text><text x=\"548\" y=\"122\" font-size=\"13.5\" font-weight=\"700\" text-anchor=\"end\" fill=\"#1E3A5F\" font-family=\"Outfit,sans-serif\">6 %<\/text><rect x=\"290\" y=\"136\" width=\"13\" height=\"13\" rx=\"2\" fill=\"#7FB8DC\"\/><text x=\"312\" y=\"147\" font-size=\"13.5\" fill=\"#2D3748\" font-family=\"Open Sans,sans-serif\">ICO \/ Token Scams<\/text><text x=\"548\" y=\"147\" font-size=\"13.5\" font-weight=\"700\" text-anchor=\"end\" fill=\"#1E3A5F\" font-family=\"Outfit,sans-serif\">4 %<\/text><rect x=\"290\" y=\"161\" width=\"13\" height=\"13\" rx=\"2\" fill=\"#3E6491\"\/><text x=\"312\" y=\"172\" font-size=\"13.5\" fill=\"#2D3748\" font-family=\"Open Sans,sans-serif\">Rug Pulls<\/text><text x=\"548\" y=\"172\" font-size=\"13.5\" font-weight=\"700\" text-anchor=\"end\" fill=\"#1E3A5F\" font-family=\"Outfit,sans-serif\">3 %<\/text><rect x=\"290\" y=\"186\" width=\"13\" height=\"13\" rx=\"2\" fill=\"#9DB6C9\"\/><text x=\"312\" y=\"197\" font-size=\"13.5\" fill=\"#2D3748\" font-family=\"Open Sans,sans-serif\">SIM swap<\/text><text x=\"548\" y=\"197\" font-size=\"13.5\" font-weight=\"700\" text-anchor=\"end\" fill=\"#1E3A5F\" font-family=\"Outfit,sans-serif\">1,5 %<\/text><rect x=\"290\" y=\"211\" width=\"13\" height=\"13\" rx=\"2\" fill=\"#C9D6E0\"\/><text x=\"312\" y=\"222\" font-size=\"13.5\" fill=\"#2D3748\" font-family=\"Open Sans,sans-serif\">Mining \/ Cloud Mining<\/text><text x=\"548\" y=\"222\" font-size=\"13.5\" font-weight=\"700\" text-anchor=\"end\" fill=\"#1E3A5F\" font-family=\"Outfit,sans-serif\">0,5 %<\/text><\/svg><\/div><figcaption style=\"font-size:13.5px;color:#7a8696;line-height:1.5;padding-top:10px;border-top:1px solid #E5E7EB;margin-top:10px;\"><b style=\"color:#1E3A5F;\">Percentage of each type of fraud in the total direct damage.<\/b> Central scenario Germany, calibrated from German police data, Europol, IC3 loss structure and Chainalysis\/TRM typologies.<\/figcaption><\/figure>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-22181774 elementor-widget elementor-widget-heading\" data-id=\"22181774\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><span class=\"n\">03<\/span> Economic damage<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6a638c2a elementor-widget elementor-widget-text-editor\" data-id=\"6a638c2a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>The total damage follows the model <em>direct losses + victim-related costs + investigation\/compliance costs + trust and friction costs<\/em>. The direct damage is triangulated from several sub-anchors (Saxony, Rhineland-Palatinate, Bavaria) and supplemented by moderate indirect surcharges \u2014 in the central scenario around 35 % of the direct losses.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-18a66404 elementor-widget elementor-widget-html\" data-id=\"18a66404\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"wp-scen\">\r\n  <div class=\"wp-scen__card wp-scen__card--blue\">\r\n    <div class=\"wp-scen__label\">Conservative<\/div>\r\n    <div class=\"wp-scen__value\">\u20ac0.52 billion<\/div>\r\n    <div class=\"wp-scen__sub\">\u20ac0.45 billion direct + \u20ac0.07 billion indirect<\/div>\r\n    <div class=\"wp-scen__note\">Lower band edge, low multipliers.<\/div>\r\n  <\/div>\r\n  <div class=\"wp-scen__card wp-scen__card--gold\">\r\n    <div class=\"wp-scen__label\">Central<\/div>\r\n    <div class=\"wp-scen__value\">\u20ac1.08 billion<\/div>\r\n    <div class=\"wp-scen__sub\">\u20ac0.80 billion direct + \u20ac0.28 billion indirect<\/div>\r\n    <div class=\"wp-scen__note\">Funds from DE sub-statistics, EU\/IC3 structure.<\/div>\r\n  <\/div>\r\n  <div class=\"wp-scen__card wp-scen__card--blue\">\r\n    <div class=\"wp-scen__label\">High<\/div>\r\n    <div class=\"wp-scen__value\">\u20ac2.08 billion<\/div>\r\n    <div class=\"wp-scen__sub\">\u20ac1.30 billion direct + \u20ac0.78 billion indirect<\/div>\r\n    <div class=\"wp-scen__note\">Upper band edge, high number of unreported cases.<\/div>\r\n  <\/div>\r\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-72ad81af elementor-widget elementor-widget-html\" data-id=\"72ad81af\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<figure style=\"margin:26px 0;\"><div style=\"background:#fff;border:1px solid #E5E7EB;border-radius:8px;padding:20px 18px;\"><svg viewbox=\"0 0 720 232\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" style=\"width:100%;height:auto;font-family:Outfit,sans-serif;\"><defs><lineargradient id=\"ag\" x1=\"0\" y1=\"0\" x2=\"0\" y2=\"1\"><stop offset=\"0\" stop-color=\"#2D9CDB\" stop-opacity=\"0.32\"\/><stop offset=\"1\" stop-color=\"#2D9CDB\" stop-opacity=\"0\"\/><\/lineargradient><\/defs><line x1=\"56\" y1=\"196.0\" x2=\"696\" y2=\"196.0\" stroke=\"#E5E7EB\" stroke-width=\"1\"\/><text x=\"46\" y=\"200.0\" text-anchor=\"end\" font-size=\"11\" fill=\"#7a8696\">0,0<\/text><line x1=\"56\" y1=\"136.7\" x2=\"696\" y2=\"136.7\" stroke=\"#E5E7EB\" stroke-width=\"1\"\/><text x=\"46\" y=\"140.7\" text-anchor=\"end\" font-size=\"11\" fill=\"#7a8696\">0,3<\/text><line x1=\"56\" y1=\"77.3\" x2=\"696\" y2=\"77.3\" stroke=\"#E5E7EB\" stroke-width=\"1\"\/><text x=\"46\" y=\"81.3\" text-anchor=\"end\" font-size=\"11\" fill=\"#7a8696\">0,6<\/text><line x1=\"56\" y1=\"18.0\" x2=\"696\" y2=\"18.0\" stroke=\"#E5E7EB\" stroke-width=\"1\"\/><text x=\"46\" y=\"22.0\" text-anchor=\"end\" font-size=\"11\" fill=\"#7a8696\">0,9<\/text><polygon points=\"56,196 56.0,126.8 216.0,97.1 376.0,73.4 536.0,53.6 696.0,37.8 696.0,196\" fill=\"url(#ag)\"\/><polyline points=\"56.0,126.8 216.0,97.1 376.0,73.4 536.0,53.6 696.0,37.8\" fill=\"none\" stroke=\"#2D9CDB\" stroke-width=\"3\" stroke-linejoin=\"round\"\/><circle cx=\"56.0\" cy=\"126.8\" r=\"5\" fill=\"#fff\" stroke=\"#1E3A5F\" stroke-width=\"2.5\"\/><text x=\"56.0\" y=\"112.8\" text-anchor=\"middle\" font-size=\"12.5\" font-weight=\"700\" fill=\"#1E3A5F\">0,35<\/text><text x=\"56.0\" y=\"218\" text-anchor=\"middle\" font-size=\"12.5\" font-weight=\"600\" fill=\"#2D3748\">2021<\/text><circle cx=\"216.0\" cy=\"97.1\" r=\"5\" fill=\"#fff\" stroke=\"#1E3A5F\" stroke-width=\"2.5\"\/><text x=\"216.0\" y=\"83.1\" text-anchor=\"middle\" font-size=\"12.5\" font-weight=\"700\" fill=\"#1E3A5F\">0,50<\/text><text x=\"216.0\" y=\"218\" text-anchor=\"middle\" font-size=\"12.5\" font-weight=\"600\" fill=\"#2D3748\">2022<\/text><circle cx=\"376.0\" cy=\"73.4\" r=\"5\" fill=\"#fff\" stroke=\"#1E3A5F\" stroke-width=\"2.5\"\/><text x=\"376.0\" y=\"59.4\" text-anchor=\"middle\" font-size=\"12.5\" font-weight=\"700\" fill=\"#1E3A5F\">0,62<\/text><text x=\"376.0\" y=\"218\" text-anchor=\"middle\" font-size=\"12.5\" font-weight=\"600\" fill=\"#2D3748\">2023<\/text><circle cx=\"536.0\" cy=\"53.6\" r=\"5\" fill=\"#fff\" stroke=\"#1E3A5F\" stroke-width=\"2.5\"\/><text x=\"536.0\" y=\"39.6\" text-anchor=\"middle\" font-size=\"12.5\" font-weight=\"700\" fill=\"#1E3A5F\">0,72<\/text><text x=\"536.0\" y=\"218\" text-anchor=\"middle\" font-size=\"12.5\" font-weight=\"600\" fill=\"#2D3748\">2024<\/text><circle cx=\"696.0\" cy=\"37.8\" r=\"5\" fill=\"#fff\" stroke=\"#1E3A5F\" stroke-width=\"2.5\"\/><text x=\"696.0\" y=\"23.8\" text-anchor=\"middle\" font-size=\"12.5\" font-weight=\"700\" fill=\"#1E3A5F\">0,80<\/text><text x=\"696.0\" y=\"218\" text-anchor=\"middle\" font-size=\"12.5\" font-weight=\"600\" fill=\"#2D3748\">2025<\/text><\/svg><\/div><figcaption style=\"font-size:13.5px;color:#7a8696;line-height:1.5;padding-top:10px;border-top:1px solid #E5E7EB;margin-top:10px;\"><b style=\"color:#1E3A5F;\">Modeled direct annual damage 2021\u20132025 (billion \u20ac).<\/b> Illustrative, modeled time series \u2014 not official statistics. Trend supported by increasing regional damage and EU situation reports.<\/figcaption><\/figure>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-43a6797a elementor-widget elementor-widget-text-editor\" data-id=\"43a6797a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Over five years, this results in a cumulative economic damage of roughly \u20ac2.6\u20139.0 billion, with a key benchmark of around \u20ac5.0 billion \u2014 explicitly as a range, not as a point value.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-67e215be e-con-full e-flex e-con e-child\" data-id=\"67e215be\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3061c5b4 elementor-widget elementor-widget-image\" data-id=\"3061c5b4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1200\" height=\"685\" src=\"https:\/\/finanz-forensik.de\/wp-content\/uploads\/2026\/06\/kb-spot.jpg\" class=\"attachment-full size-full wp-image-2578\" alt=\"Candlestick chart depicting rising prices with teal and red bars on a dark, sparkly background.\" srcset=\"https:\/\/finanz-forensik.de\/wp-content\/uploads\/2026\/06\/kb-spot.jpg 1200w, https:\/\/finanz-forensik.de\/wp-content\/uploads\/2026\/06\/kb-spot-300x171.jpg 300w, https:\/\/finanz-forensik.de\/wp-content\/uploads\/2026\/06\/kb-spot-1024x585.jpg 1024w, https:\/\/finanz-forensik.de\/wp-content\/uploads\/2026\/06\/kb-spot-768x438.jpg 768w, https:\/\/finanz-forensik.de\/wp-content\/uploads\/2026\/06\/kb-spot-18x10.jpg 18w\" sizes=\"auto, (max-width: 1200px) 100vw, 1200px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-300becc4 elementor-widget elementor-widget-html\" data-id=\"300becc4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<p style=\"font-size:13.5px;color:#7a8696;line-height:1.5;border-top:1px solid #E5E7EB;padding-top:8px;margin:-6px 0 18px;\"><b style=\"color:#1E3A5F;\">Money that disappears into the dark.<\/b> The assets flow into criminal structures via wallets, fake platforms and off-ramps \u2014 the forensic trail determines clarification and recovery.<\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-70d1b1d3 elementor-widget elementor-widget-heading\" data-id=\"70d1b1d3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><span class=\"n\">04<\/span> Data basis and delimitation<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-35d2aa87 elementor-widget elementor-widget-text-editor\" data-id=\"35d2aa87\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>The primary sources available in Germany are fragmented. Reliable figures come from state criminal investigation offices, police headquarters, and public prosecutor&#039;s offices\u2014not from a unified federal statistical database. In Operation Herakles, BaFin seized 1,406 illegal domains, and in 2024, the Federal Criminal Police Office (BKA) and the Central Office for Cybercrime (ZIT) shut down 47 Exchange services hosted in Germany\u2014evidence of the industrial infrastructure behind the fraud.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-40554b1c elementor-widget elementor-widget-html\" data-id=\"40554b1c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div style=\"margin-top:18px;border-top:1px solid #E5E7EB;padding-top:18px;\"><div style=\"font-family:Outfit,sans-serif;font-weight:800;font-size:12px;letter-spacing:.18em;text-transform:uppercase;color:#1E3A5F;margin-bottom:14px;\">Key sources<\/div><div style=\"font-size:13.5px;line-height:1.6;color:#54606e;margin-bottom:12px;\"><b style=\"display:block;font-family:Outfit;font-size:11px;letter-spacing:.12em;text-transform:uppercase;color:#1E3A5F;margin-bottom:3px;\">German primary sources<\/b>Saxony State Criminal Police Office (Cybertrading 2019\u20132024: \u20ac190.5 million \/ \u22484,800 cases) \u00b7 Rhineland-Palatinate Police (\u20ac77 million) \u00b7 Bavarian Police (Upper Bavaria North, Swabia South\/West) \u00b7 Public Prosecutor General&#039;s Offices of Saxony &amp; Bavaria.<\/div><div style=\"font-size:13.5px;line-height:1.6;color:#54606e;margin-bottom:12px;\"><b style=\"display:block;font-family:Outfit;font-size:11px;letter-spacing:.12em;text-transform:uppercase;color:#1E3A5F;margin-bottom:3px;\">Supervision &amp; Infrastructure<\/b>BaFin (fraudulent trading platforms, Operation Herakles: 1,406 domains) \u00b7 BKA\/ZIT (47 shut-down exchange services) \u00b7 Federal Network Agency (telephone number misuse) \u00b7 BSI (smishing, SIM swapping).<\/div><div style=\"font-size:13.5px;line-height:1.6;color:#54606e;\"><b style=\"display:block;font-family:Outfit;font-size:11px;letter-spacing:.12em;text-transform:uppercase;color:#1E3A5F;margin-bottom:3px;\">International calibration<\/b>Europol IOCTA 2024 \u00b7 Interpol Global Financial Fraud Assessment 2024 \u00b7 FBI IC3 Report 2024 \u00b7 FTC \u00b7 Chainalysis \u00b7 TRM Labs \u00b7 GASA Report 2025.<\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2a5b29b8 elementor-widget elementor-widget-heading\" data-id=\"2a5b29b8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><span class=\"n\">05<\/span> Classification by Financial Forensics<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-67369c67 elementor-widget elementor-widget-html\" data-id=\"67369c67\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div style=\"background:linear-gradient(135deg,#15314e,#0F2942);color:#dCEAf5;border-radius:14px;padding:28px 30px;margin:8px 0 8px;\"><div style=\"font-family:Outfit,sans-serif;font-weight:800;font-size:12px;letter-spacing:.16em;text-transform:uppercase;color:#56CCF2;margin-bottom:10px;\">Expert commentary<\/div><p style=\"margin:8px 0;font-size:15.5px;line-height:1.6;\"><b style=\"color:#fff;\">Why cyber trading dominates.<\/b> Investment scams scale industrially via fake platforms, paid advertising and call centers \u2014 high individual losses due to systematic targeting.<\/p><p style=\"margin:8px 0;font-size:15.5px;line-height:1.6;\"><b style=\"color:#fff;\">Why the number of unreported cases is higher.<\/b> Shame, late insight, and delayed pattern recognition lead to massive underreporting.<\/p><p style=\"margin:8px 0;font-size:15.5px;line-height:1.6;\"><b style=\"color:#fff;\">Whichever one grows the most.<\/b> Pig butchering, recovery chains and AI-powered personalization (deepfake advisors) increase credibility and reach.<\/p><p style=\"margin:8px 0;font-size:15.5px;line-height:1.6;\"><b style=\"color:#fff;\">What this means for those affected.<\/b> Speed beats hindsight: early wallet backup, on-chain clustering, and off-ramp analysis determine the recovery chance.<\/p><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7741a150 elementor-widget elementor-widget-heading\" data-id=\"7741a150\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><span class=\"n\">06<\/span> methodology<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5d6cebe6 elementor-widget elementor-widget-text-editor\" data-id=\"5d6cebe6\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Three-stage approach: First, prioritize German primary sources and\u2014where case numbers and damage amounts are available\u2014calculate the observed mean directly (especially for cyber trading). Second, for fraud types without German case series, use relevant international benchmarks (IC3 2024, FTC for median anchor, Europol\/Interpol\/Chainalysis\/TRM for typology). Third, calibrate these benchmarks against large German datasets instead of adopting US values directly. The central reference point is the weighted German observed value of approximately \u20ac39,500 per case.<\/p><p>For the overall economic estimate, large-scale cases are deliberately not excluded (they are macroeconomically real); for the &quot;typical&quot; case, however, large series of events are reported separately. Medians are given as modeled ranges due to a lack of publicly available nationwide data.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-54ef4102 elementor-widget elementor-widget-heading\" data-id=\"54ef4102\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><span class=\"n\">07<\/span> Data quality, limitations and recommendations<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5229659e elementor-widget elementor-widget-text-editor\" data-id=\"5229659e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>The biggest weakness is the lack of nationwide standardization. Reliable statements are primarily possible for investment\/cybertrading cases; for rug pulls, ICO\/token scams, and mining scams, only calibrated approximations are possible. Five steps would significantly increase the insights gained:<\/p><ul style=\"padding-left:20px;\"><li style=\"margin:8px 0;\"><b>Unified Crypto Fraud Taxonomy<\/b> at federal level (Europol\/Interpol harmonized).<\/li><li style=\"margin:8px 0;\"><b>Standard fields per police case<\/b> (Payment method, asset, wallet\/exchange, initial contact, recovery status).<\/li><li style=\"margin:8px 0;\"><b>Shared minimum data standard<\/b> between BKA, BaFin, Bundesnetzagentur, BSI, PSPs and CASPs.<\/li><li style=\"margin:8px 0;\"><b>Annual situation reports<\/b> including mean, median, quantiles and dispersion.<\/li><li style=\"margin:8px 0;\"><b>Monitoring of \u201eprevented damage\u201c<\/b> for measuring the effectiveness of prevention.<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-52c6cb81 elementor-widget elementor-widget-html\" data-id=\"52c6cb81\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div style=\"margin-top:40px;border-top:1px solid #E5E7EB;padding-top:24px;\"><div style=\"font-family:Outfit,sans-serif;font-weight:800;font-size:12px;letter-spacing:.18em;text-transform:uppercase;color:#B0892F;margin-bottom:14px;\">Source base<\/div><div style=\"font-size:13.5px;line-height:1.6;color:#54606e;margin-bottom:12px;\"><b style=\"display:block;font-family:Outfit;font-size:11px;letter-spacing:.12em;text-transform:uppercase;color:#1E3A5F;margin-bottom:3px;\">German primary sources<\/b>Saxony State Criminal Police Office (Cybertrading 2019\u20132024: \u20ac190.5 million \/ \u22484,800 cases) \u00b7 Rhineland-Palatinate Police (\u20ac77 million) \u00b7 Bavarian Police (Upper Bavaria North, Swabia South\/West) \u00b7 Public Prosecutor General&#039;s Offices of Saxony &amp; Bavaria.<\/div><div style=\"font-size:13.5px;line-height:1.6;color:#54606e;margin-bottom:12px;\"><b style=\"display:block;font-family:Outfit;font-size:11px;letter-spacing:.12em;text-transform:uppercase;color:#1E3A5F;margin-bottom:3px;\">Supervision &amp; Infrastructure<\/b>BaFin (fraudulent trading platforms, Operation Herakles: 1,406 domains) \u00b7 BKA\/ZIT (47 shut-down exchange services) \u00b7 Federal Network Agency (telephone number misuse) \u00b7 BSI (smishing, SIM swapping).<\/div><div style=\"font-size:13.5px;line-height:1.6;color:#54606e;margin-bottom:12px;\"><b style=\"display:block;font-family:Outfit;font-size:11px;letter-spacing:.12em;text-transform:uppercase;color:#1E3A5F;margin-bottom:3px;\">International calibration<\/b>Europol IOCTA 2024 \u00b7 Interpol Global Financial Fraud Assessment 2024 \u00b7 FBI IC3 Report 2024 \u00b7 FTC \u00b7 Chainalysis \u00b7 TRM Labs \u00b7 GASA Report 2025.<\/div><p style=\"font-size:12px;color:#9aa6b3;margin-top:6px;line-height:1.6;\">The values are not official statistics, but a transparent scenario model based on incomplete, heterogeneous primary data (as of 2026).<\/p><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-9179e1f e-con-full e-flex e-con e-child\" data-id=\"9179e1f\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t<div class=\"elementor-element elementor-element-5d8faf7 e-con-full e-flex e-con e-child\" data-id=\"5d8faf7\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-18f1d2f3 elementor-widget elementor-widget-image\" data-id=\"18f1d2f3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/finanz-forensik.de\/wp-content\/uploads\/2026\/06\/david-1-150x150.jpg\" class=\"attachment-thumbnail size-thumbnail wp-image-2403\" alt=\"Professional headshot of a mature man in a dark blazer and white patterned shirt, looking at the camera.\" srcset=\"https:\/\/finanz-forensik.de\/wp-content\/uploads\/2026\/06\/david-1-150x150.jpg 150w, https:\/\/finanz-forensik.de\/wp-content\/uploads\/2026\/06\/david-1-300x300.jpg 300w, https:\/\/finanz-forensik.de\/wp-content\/uploads\/2026\/06\/david-1-12x12.jpg 12w, https:\/\/finanz-forensik.de\/wp-content\/uploads\/2026\/06\/david-1.jpg 400w\" sizes=\"auto, (max-width: 150px) 100vw, 150px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-401674f7 e-con-full e-flex e-con e-child\" data-id=\"401674f7\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-13c5fa52 elementor-widget elementor-widget-text-editor\" data-id=\"13c5fa52\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>David L\u00fcdtke<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1e2ca2d3 elementor-widget elementor-widget-text-editor\" data-id=\"1e2ca2d3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Managing Director \u00b7 OSINT Analyst &amp; Crypto Forensic Expert \u00b7 Financial Forensics GmbH<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-407f6857 elementor-widget elementor-widget-text-editor\" data-id=\"407f6857\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Court-admissible crypto transaction analysis, OSINT-based asset investigation, and expert reports for defense attorneys, insolvency administrators, and companies. Certified Crystal Expert (CECF, CEEI, CEUI). <b>Financial Forensics<\/b> Supports law firms, companies, investigative bodies and insolvency administrators \u2014 focus areas: Blockchain forensics, wallet analysis, court-admissible documentation, OSINT.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f90ab6c elementor-widget elementor-widget-text-editor\" data-id=\"f90ab6c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><b>Contact:<\/b>\u00a0<a href=\"mailto:postfach@finanz-forensik.de\">postfach@finanz-forensik.de<\/a> +49 6057 772 994 86\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-72db4ce6 e-flex e-con-boxed e-con e-parent\" data-id=\"72db4ce6\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;gradient&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-8fd233 e-con-full e-flex e-con e-child\" data-id=\"8fd233\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2dcee9d5 elementor-widget elementor-widget-heading\" data-id=\"2dcee9d5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Lost your crypto assets? Every day counts.<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1fc98177 elementor-widget elementor-widget-text-editor\" data-id=\"1fc98177\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p style=\"color:#cdddea;font-size:16px;line-height:1.6;\">We secure evidence, create legally sound crypto forensics reports, and support law firms and victims in asset recovery \u2014 before deadlines expire.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-46f29d71 e-con-full e-flex e-con e-child\" data-id=\"46f29d71\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1ed055ee elementor-align-justify elementor-widget elementor-widget-button\" data-id=\"1ed055ee\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/finanz-forensik.de\/en\/contact\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Request an initial consultation<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4f81cfaf elementor-align-justify elementor-widget elementor-widget-button\" data-id=\"4f81cfaf\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/finanz-forensik.de\/wp-content\/uploads\/2026\/06\/Whitepaper_Krypto-Betrug-Deutschland_Finanz-Forensik.pdf\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon\">\n\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M21 15v4a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2v-4\"><\/path><polyline points=\"7 10 12 15 17 10\"><\/polyline><line x1=\"12\" y1=\"15\" x2=\"12\" y2=\"3\"><\/line><\/svg>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Study as PDF<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>Research Report Nr. 04 \u00b7 Studie &amp; Marktanalyse Krypto-Betrug in Deutschland: Sch\u00e4den von bis zu 1,3\u00a0Milliarden\u00a0Euro pro Jahr Wie hoch ist der wirtschaftliche Schaden durch Krypto-Betrug in Deutschland? Eine datenbasierte Sch\u00e4tzung aus Polizei-, Aufsichts- und internationalen Beschwerdedaten. 0,80 Mrd. \u20ac Direkter Schaden pro Jahr (Zentralszenario) \u2248 39.500 \u20ac Durchschnittlicher Schaden je Fall 56 % Anteil [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":2620,"parent":2313,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"inline_featured_image":false,"footnotes":""},"class_list":["post-2590","page","type-page","status-publish","has-post-thumbnail","hentry"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO Pro 4.9.9 - aioseo.com -->\n\t<meta name=\"description\" content=\"Studie zum wirtschaftlichen Schaden durch Krypto-Betrug in Deutschland: 0,45\u20131,30 Mrd. \u20ac direkter Jahresschaden, \u2300 39.500 \u20ac je Fall, Investment-Betrug 56 % der Verluste.\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<link rel=\"canonical\" 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