{"id":104558,"date":"2022-06-30T09:37:00","date_gmt":"2022-06-30T07:37:01","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/packj-instrumentarij-dlya-vyyavleniya-vredonosnyh-bibliotek-na-yazykah-python-i-javascript"},"modified":"2022-06-30T09:37:00","modified_gmt":"2022-06-30T07:37:01","slug":"packj-instrumentarij-dlya-vyyavleniya-vredonosnyh-bibliotek-na-yazykah-python-i-javascript","status":"publish","type":"post","link":"https:\/\/prohoster.info\/fr\/blog\/news\/packj-instrumentarij-dlya-vyyavleniya-vredonosnyh-bibliotek-na-yazykah-python-i-javascript","title":{"rendered":"Packj\u00a0\u2014 un outil pour d\u00e9tecter des biblioth\u00e8ques malveillantes en Python et JavaScript","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Les d\u00e9veloppeurs de la plateforme Packj, qui analyse la s\u00e9curit\u00e9 des biblioth\u00e8ques, ont publi\u00e9 un outil en ligne de commande ouvert permettant d'identifier les constructions risqu\u00e9es dans des paquets pouvant \u00eatre li\u00e9es \u00e0 la r\u00e9alisation d'activit\u00e9s malveillantes ou \u00e0 la pr\u00e9sence de vuln\u00e9rabilit\u00e9s utilis\u00e9es pour attaquer des projets utilisant lesdits paquets («supply chain»). La v\u00e9rification des paquets dans les langages Python et JavaScript, h\u00e9berg\u00e9s dans les d\u00e9p\u00f4ts PyPi et NPM, est prise en charge (ce mois-ci, un ajout de la prise en charge de Ruby et RubyGems est \u00e9galement pr\u00e9vu). Le code de l'outil est \u00e9crit en Python et est distribu\u00e9 sous la licence AGPLv3. <\/p>\n

Lors de l'analyse de 330 000 paquets \u00e0 l'aide de l'outil propos\u00e9 dans le d\u00e9p\u00f4t PyPi, 42 paquets malveillants avec des backdoors et 2 400 paquets \u00e0 risque ont \u00e9t\u00e9 identifi\u00e9s. Dans le cadre de l'examen, une analyse statique du code est effectu\u00e9e pour identifier les particularit\u00e9s de l'API et \u00e9valuer la pr\u00e9sence de vuln\u00e9rabilit\u00e9s connues r\u00e9pertori\u00e9es dans la base de donn\u00e9es OSV. Le paquet MalOSS est utilis\u00e9 pour l'analyse de l'API. Le code des paquets est examin\u00e9 \u00e0 la recherche de motifs typiques g\u00e9n\u00e9ralement utilis\u00e9s dans les logiciels malveillants. Ces motifs ont \u00e9t\u00e9 \u00e9labor\u00e9s \u00e0 partir de l'\u00e9tude de 651 paquets avec une activit\u00e9 malveillante confirm\u00e9e. <\/p>\n

Les attributs et m\u00e9tadonn\u00e9es conduisant \u00e0 un risque accru d'utilisation non cibl\u00e9e sont \u00e9galement identifi\u00e9s, tels que l'ex\u00e9cution de blocs via «eval» ou «exec», la g\u00e9n\u00e9ration de nouveau code \u00e0 l'ex\u00e9cution, l'utilisation de techniques d'obfuscation et de dissimulation de code, la manipulation des variables d'environnement, l'acc\u00e8s non cibl\u00e9 aux fichiers, l'acc\u00e8s aux ressources r\u00e9seau dans les scripts d'installation (setup.py), l'utilisation de type squatting (attribution de noms similaires \u00e0 ceux de biblioth\u00e8ques populaires), l'identification de projets obsol\u00e8tes et abandonn\u00e9s, la mention d'emails et de sites inexistants, et l'absence de d\u00e9p\u00f4t public pour le code. <\/p>\n

Il convient \u00e9galement de noter la d\u00e9couverte par d'autres chercheurs en s\u00e9curit\u00e9 de cinq paquets malveillants dans le d\u00e9p\u00f4t PyPi, qui envoyaient vers l'ext\u00e9rieur serveur<\/a> le contenu des variables d'environnement dans le but de voler des jetons AWS et des syst\u00e8mes d'int\u00e9gration continue : loglib-modules (pr\u00e9sent\u00e9 comme des modules de la biblioth\u00e8que l\u00e9gitime loglib), pyg-modules, pygrata et pygrata-utils (pr\u00e9sent\u00e9s comme des compl\u00e9ments de la biblioth\u00e8que l\u00e9gitime pyg) et hkg-sol-utils. <\/ul>\n

\"Packj<\/center>
\n
Source : opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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\u043c\u043e\u0433\u0443\u0442 \u0431\u044b\u0442\u044c \u0441\u0432\u044f\u0437\u0430\u043d\u044b \u0441 \u0440\u0435\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u0435\u0439 \u0432\u0440\u0435\u0434\u043e\u043d\u043e\u0441\u043d\u043e\u0439 \u0430\u043a\u0442\u0438\u0432\u043d\u043e\u0441\u0442\u0438 \u0438\u043b\u0438 \u043d\u0430\u043b\u0438\u0447\u0438\u0435\u043c \u0443\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u0435\u0439, \u043f\u0440\u0438\u043c\u0435\u043d\u044f\u0435\u043c\u044b\u0445 \u0434\u043b\u044f \u0441\u043e\u0432\u0435\u0440\u0448\u0435\u043d\u0438\u044f \u0430\u0442\u0430\u043a \u043d\u0430 \u043f\u0440\u043e\u0435\u043a\u0442\u044b, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0449\u0438\u0435 \u0440\u0430\u0441\u0441\u043c\u0430\u0442\u0440\u0438\u0432\u0430\u0435\u043c\u044b\u0435 \u043f\u0430\u043a\u0435\u0442\u044b («supply chain»). \u041f\u043e\u0434\u0434\u0435\u0440\u0436\u0438\u0432\u0430\u0435\u0442\u0441\u044f \u043f\u0440\u043e\u0432\u0435\u0440\u043a\u0430 \u043f\u0430\u043a\u0435\u0442\u043e\u0432 \u043d\u0430 \u044f\u0437\u044b\u043a\u0430\u0445 Python \u0438 JavaScript, \u0440\u0430\u0437\u043c\u0435\u0449\u0451\u043d\u043d\u044b\u0445 \u0432 \u043a\u0430\u0442\u0430\u043b\u043e\u0433\u0430\u0445 PyPi \u0438 NPM (\u0432 \u044d\u0442\u043e\u043c […]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":104559,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-104558","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\n","aioseo_head_json":{"title":"\ud83e\udd47Packj \u2014 un outil pour d\u00e9tecter les 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