{"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\/nl\/blog\/news\/packj-instrumentarij-dlya-vyyavleniya-vredonosnyh-bibliotek-na-yazykah-python-i-javascript","title":{"rendered":"Packj — toolkit voor het opsporen van kwaadaardige bibliotheken in Python- en JavaScript-talen","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

De ontwikkelaars van het Packj-platform, dat de beveiliging van bibliotheken analyseert, hebben een open source opdrachtregeltool gepubliceerd waarmee risicovolle constructies in pakketten kunnen worden ge\u00efdentificeerd die mogelijk verband houden met malafide activiteiten of kwetsbaarheden die worden gebruikt voor aanvallen op projecten die de betreffende pakketten gebruiken («supply chain»). Pakketten in de programmeertalen Python en JavaScript, die zijn geplaatst in de mappen PyPi en NPM, worden ondersteund (deze maand is er ook een plan om ondersteuning voor Ruby en RubyGems toe te voegen). De code van de tool is geschreven in Python en wordt verspreid onder de AGPLv3-licentie. <\/p>\n

Bij de analyse van 330.000 pakketten met behulp van de aangeboden toolkit in de PyPi-repository zijn 42 kwaadaardige pakketten met backdoors en 2.400 risicovolle pakketten ontdekt. Tijdens het onderzoek wordt een statische code-analyse uitgevoerd om de kenmerken van de API's te identificeren en de aanwezigheid van bekende kwetsbaarheden te beoordelen, zoals vermeld in de OSV-database. Voor de API-analyse wordt het MalOSS-pakket gebruikt. De code van de pakketten wordt geanalyseerd op de aanwezigheid van typische sjablonen die vaak in kwaadaardige software worden gebruikt. De sjablonen zijn opgesteld op basis van de studie van 651 pakketten met bevestigde kwaadaardige activiteit. <\/p>\n

Ook worden attributen en metadata ge\u00efdentificeerd die het risico van ongewenst gebruik verhogen, zoals het uitvoeren van blokken via «eval» of «exec», het genereren van nieuwe code tijdens de uitvoering, het gebruik van technieken voor het obfusceren en verbergen van code, manipulaties met omgevingsvariabelen, ongewenste toegang tot bestanden, het aanspreken van netbronnen in installatie-scripts (setup.py), het gebruik van type squatting (toewijzing van namen die lijken op de namen van populaire bibliotheken), het identificeren van verouderde en verlaten projecten, het opgeven van niet-bestaande e-mailadressen en websites, en het ontbreken van een openbare code-repository. <\/p>\n

Daarnaast kan worden opgemerkt dat andere beveiligingsonderzoekers vijf kwaadaardige pakketten in de PyPi-repository hebben ontdekt die gegevens van omgevingsvariabelen naar externe locaties verstuurden, server<\/a> met het doel tokens voor AWS en continue integratiesystemen te stelen: loglib-modules (gepresenteerd als modules voor de legitieme library loglib), pyg-modules, pygrata en pygrata-utils (gepresenteerd als aanvullingen voor de legitieme library pyg) en hkg-sol-utils. <\/ul>\n

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

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\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\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 - een toolkit voor het identificeren van malafide 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\u2014 \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0439 \u0434\u043b\u044f \u0432\u044b\u044f\u0432\u043b\u0435\u043d\u0438\u044f \u0432\u0440\u0435\u0434\u043e\u043d\u043e\u0441\u043d\u044b\u0445 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a \u043d\u0430 \u044f\u0437\u044b\u043a\u0430\u0445 Python \u0438 JavaScript | ProHoster","og:description":"\u0420\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u0447\u0438\u043a\u0438 \u043f\u043b\u0430\u0442\u0444\u043e\u0440\u043c\u044b Packj, \u0430\u043d\u0430\u043b\u0438\u0437\u0438\u0440\u0443\u044e\u0449\u0435\u0439 \u0431\u0435\u0437\u043e\u043f\u0430\u0441\u043d\u043e\u0441\u0442\u044c \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a, \u043e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043b\u0438 \u043e\u0442\u043a\u0440\u044b\u0442\u044b\u0439 \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0439 \u043a\u043e\u043c\u0430\u043d\u0434\u043d\u043e\u0439 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