{"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\/it\/blog\/news\/packj-instrumentarij-dlya-vyyavleniya-vredonosnyh-bibliotek-na-yazykah-python-i-javascript","title":{"rendered":"Packj \u2014 strumento per l'individuazione di librerie dannose in linguaggi Python e JavaScript","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Gli sviluppatori della piattaforma Packj, che analizza la sicurezza delle librerie, hanno pubblicato un toolkit open source da riga di comando che consente di identificare strutture rischiose nei pacchetti, potenzialmente collegate all'implementazione di attivit\u00e0 malware o alla presenza di vulnerabilit\u00e0 utilizzate per attacchi ai progetti che utilizzano i pacchetti in questione («supply chain»). \u00c8 supportato il controllo dei pacchetti in linguaggi come Python e JavaScript, distribuiti nei repository PyPi e NPM (questo mese \u00e8 previsto anche il supporto per Ruby e RubyGems). Il codice del toolkit \u00e8 scritto in Python ed \u00e8 distribuito con licenza AGPLv3. <\/p>\n

Durante l'analisi di 330.000 pacchetti tramite gli strumenti forniti nel repository PyPi, sono stati identificati 42 pacchetti dannosi con backdoor e 2.400 pacchetti a rischio. Nel processo di esame viene effettuata un'analisi statica del codice per individuare le caratteristiche dell'API e si valuta la presenza di vulnerabilit\u00e0 note, segnalate nel database OSV. Per l'analisi dell'API viene utilizzato il pacchetto MalOSS. Il codice dei pacchetti viene analizzato alla ricerca di schemi tipici, comunemente utilizzati nel malware. Gli schemi sono stati preparati sulla base dello studio di 651 pacchetti con attivit\u00e0 dannosa confermata. <\/p>\n

Vengono inoltre identificati attributi e metadati che aumentano il rischio di utilizzo improprio, come l'esecuzione di blocchi tramite «eval» o «exec», la generazione di nuovo codice durante l'esecuzione, l'uso di tecniche di offuscamento e occultamento del codice, la manipolazione delle variabili d'ambiente, l'accesso non autorizzato a file, l'interazione con risorse di rete in script di installazione (setup.py), l'uso di typosquatting (assegnazione di nomi simili a quelli di librerie popolari), l'identificazione di progetti obsoleti e abbandonati, l'indicazione di email e siti inesistenti, e l'assenza di un repository pubblico con il codice. <\/p>\n

Inoltre, \u00e8 stato segnalato da altri ricercatori di sicurezza il rinvenimento di cinque pacchetti dannosi nel repository PyPi, che inviavano a un server esterno un server<\/a> il contenuto delle variabili d'ambiente con l'intento di rubare i token AWS e dei sistemi di integrazione continua: loglib-modules (presentato come moduli per la legittima libreria loglib), pyg-modules, pygrata e pygrata-utils (presentati come estensioni della legittima libreria pyg) e hkg-sol-utils. <\/ul>\n

\"Packj<\/center>
\n
Fonte: 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\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 strumento per identificare librerie dannose 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