{"id":1662,"date":"2025-07-17T16:53:43","date_gmt":"2025-07-17T14:53:43","guid":{"rendered":"https:\/\/www.oneytrust.com\/?p=1662"},"modified":"2025-07-17T16:53:44","modified_gmt":"2025-07-17T14:53:44","slug":"what-color-is-your-fraud","status":"publish","type":"post","link":"https:\/\/www.oneytrust.com\/fr\/what-color-is-your-fraud\/","title":{"rendered":"Quelle est la couleur de votre fraude ?"},"content":{"rendered":"

<\/h3>\n\n\n\n

Et qu\u2019est-ce qu\u2019un processus d\u2019apr\u00e8s le Petit Robert ? \u00ab Ensemble de ph\u00e9nom\u00e8nes, con\u00e7u comme actif et organis\u00e9 dans le temps. \u00bb
D\u00e9cortiquons donc cette d\u00e9finition pour une meilleure compr\u00e9hension du sujet\u2026<\/p>\n\n\n\n


\u00ab Ensemble de ph\u00e9nom\u00e8nes \u00bb<\/strong>“
Certes, c\u2019est tr\u00e8s vaste. Chronologiquement, le premier ph\u00e9nom\u00e8ne \u00e0 identifier et observer est la faille exploit\u00e9e et l\u2019influence que l\u2019on peut avoir pour l\u2019att\u00e9nuer.<\/p>\n\n\n\n


Du point de vue de celui qui exploite la faille, la question qui se pose est de savoir quel va \u00eatre son niveau d\u2019implication. C\u2019est ce qui va d\u00e9terminer si on peut lui attribuer l\u2019\u00e9tiquette de \u00ab fraudeur \u00bb ou de \u00ab tricheur \u00bb. Attention, les deux commettent une fraude.<\/p>\n\n\n\n


Mais le fraudeur est un professionnel. Il a travaill\u00e9 son sujet et son organisation. Il g\u00e8re une petite entreprise, avec du volume. Il va automatiser au possible (bots). Son identit\u00e9, il la pr\u00e9serve. L\u2019identifier et donc recouvrer est une gageure.<\/p>\n\n\n\n


A contrario, le tricheur est plut\u00f4t un amateur. Il est opportuniste et compte sur une certaine impunit\u00e9. Son identit\u00e9, il ne la cache pas ou mal. C\u2019est une bonne chose pour le recouvrer\u2026<\/p>\n\n\n\n


Au fil des ann\u00e9es, la porosit\u00e9 entre fraudeur et tricheur a \u00e9t\u00e9 grandissante. D\u2019abord avec le ph\u00e9nom\u00e8ne de \u00ab mules \u00bb (\u00ab tricheurs \u00bb dup\u00e9s et recrut\u00e9s par des \u00ab fraudeurs \u00bb pour r\u00e9acheminer des colis), aujourd\u2019hui avec le \u00ab fraud as a service \u00bb (\u00ab tricheurs \u00bb contractant avec des \u00ab fraudeurs \u00bb pour partager le b\u00e9n\u00e9fice de la fraude, notamment en fraude au retour).<\/p>\n\n\n\n

\u00ab con\u00e7u comme actif \u00bb<\/strong>“<\/p>\n\n\n\n

Le degr\u00e9 d\u2019activit\u00e9 est d\u00e9terminant. C\u2019est ce qui vient trahir \u00ab l\u2019ensemble de ph\u00e9nom\u00e8nes \u00bb. L\u2019observation de la v\u00e9locit\u00e9 est fondatrice dans la lutte contre la fraude.<\/p>\n\n\n\n


Pour cela, il faut savoir rendre tout ce qui est observable en quantifiable. Parce que la fraude s\u2019adapte. Aujourd\u2019hui observer le nombre d\u2019\u00e9v\u00e8nements attach\u00e9s \u00e0 une adresse \u00e9lectronique ne suffit plus. Il faut \u00eatre en mesure de d\u00e9cortiquer la structure de ladite adresse \u00e9lectronique et de voir sa repr\u00e9sentativit\u00e9 sur un ensemble. Est-elle dans la norme statistique (exemple : une adresse \u00e9lectronique avec un domaine atypique et un username compos\u00e9 de nombreux chiffres) ? Si non, y a-t-il une surrepr\u00e9sentation d\u2019adresses \u00e9lectroniques avec les m\u00eames caract\u00e9ristiques sur un temps relativement r\u00e9cent ?<\/p>\n\n\n\n


Et cet exercice, il faut \u00eatre en mesure de la faire pour chaque donn\u00e9e. Pour chacune, il faut \u00eatre en mesure d\u2019associer un nombre maximum d\u2019informations.<\/p>\n\n\n\n

\u00ab organis\u00e9 dans le temps \u00bb<\/strong>“
La gestion du temps. Frapper \u00ab vite et fort \u00bb ou \u00ab rester en dessous du radar \u00bb pour profiter le plus longtemps possible de la faille exploit\u00e9e. Le fraudeur pratique les deux. Le tricheur davantage la seconde.<\/p>\n\n\n\n


Pour ce dernier, souvent, rien ne vaut la \u00ab watch list \u00bb. Si l\u2019on ne croit plus depuis longtemps au P\u00e8re No\u00ebl, force est de constater que disposer d\u2019une \u00ab naughty list \u00bb est essentiel. Car, le tricheur \u00e9tant souvent un \u00ab fraudeur \u00e0 la petite semelle \u00bb, il pratique le \u00ab stop and go \u00bb. Il peut donc s\u2019arr\u00eater un temps pour mieux revenir ensuite. Certes, tout le monde peut b\u00e9n\u00e9ficier du \u00ab droit \u00e0 l\u2019oubli \u00bb. C\u2019est pour cela que la meilleure pratique est de cr\u00e9er un score de r\u00e9putation multifactoriel.<\/p>\n\n\n\n

La suite ?<\/strong>“
A travers la compr\u00e9hension de la motivation du \u00ab camp adverse \u00bb, l\u2019analyse de ses pratiques, l\u2019identification de ses outils, on peut construire une r\u00e9ponse adapt\u00e9e et p\u00e9renne.<\/p>\n\n\n\n


Par exemple, dans un environnement online. Pour les \u00e9v\u00e8nements faillibles, quel est l\u2019indicateur de risque de fraude num\u00e9ro un si je propose des services ou bien \u00e0 des humains ? Et bien l\u2019indication que j\u2019ai affaire \u00e0 un \u00ab non-humain \u00bb. Par cons\u00e9quent, tr\u00e8s en amont, je me pr\u00e9munis en mettant en place un outil d\u2019identification de \u00ab bot \u00bb. Une fois la chose adress\u00e9e, qu\u2019est-ce que je souhaite d\u00e9terminer ? Est-ce que je \u00ab connais \u00bb l\u2019individu associ\u00e9 \u00e0 l\u2019\u00e9v\u00e8nement que j\u2019analyse ? Si oui, suis-je en mesure d\u2019avoir des \u00e9l\u00e9ments attestant que c\u2019est bien lui (risque d\u2019usurpation \/ account takeover) ? Si non, est-ce que je peux disposer tout de m\u00eame d\u2019\u00e9l\u00e9ments qui me conforteraient sur le fait qu\u2019il s\u2019agit d\u2019une identit\u00e9 fiable (identit\u00e9 digitale avec des attributs dans la norme) ?<\/p>\n\n\n\n


C\u2019est ce jeu de questions qui permet de construire un arbre d\u00e9cisionnel. Nous vous en livrons d\u2019ailleurs un exemple. Decision Tree<\/a>.<\/p>\n\n\n\n


Alors, vous sentez-vous\u2026 la main verte\u202f?<\/p>\n\n\n\n

<\/p>","protected":false},"excerpt":{"rendered":"

And what does the Oxford dictionary define as a process? A set of phenomena, conceived as active and organised over time”.So let’s unpack this definition for a better understanding of the subject\u2026 “Set of phenomena“Admittedly, this is a very broad definition. Chronologically, the first phenomenon to be identified and observed is the fault that is…<\/p>","protected":false},"author":3,"featured_media":1664,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"_kad_blocks_custom_css":"","_kad_blocks_head_custom_js":"","_kad_blocks_body_custom_js":"","_kad_blocks_footer_custom_js":"","_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"footnotes":""},"categories":[6,1],"tags":[36,31,37,26],"class_list":["post-1662","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-expertise","category-general","tag-cybercirminalite","tag-ecommerce","tag-fraude","tag-luttecontrelafraude"],"acf":[],"yoast_head":"\nOneytrust\u202f\u2013 What color is your fraud ?<\/title>\n<meta name=\"description\" content=\"We tend to talk about fraud, forgetting that by pointing the finger at a \u2018purpose\u2019 (after all, fraud has been committed), we can miss out on solutions to combat the phenomenon.In fact, when we talk about \u2018combating fraud\u2019, we are really talking about \u2018combating the processes that facilitate\/enable fraud\u2019.Of course, this may seem obvious. 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