Описание
The ADOdb sqlite3 driver allows SQL injection
Improper escaping of a query parameter may allow an attacker to execute arbitrary SQL statements when the code using ADOdb connects to a sqlite3 database and calls the metaColumns(), metaForeignKeys() or metaIndexes() methods with a crafted table name.
Note that the indicated Severity corresponds to a worst-case usage scenario, e.g. allowing user-supplied data to be sent as-is to the above-mentioned methods.
Impact
SQLite3 driver.
Patches
Vulnerability is fixed in ADOdb 5.22.10 (https://github.com/ADOdb/ADOdb/commit/5b8bd52cdcffefb4ecded1b399c98cfa516afe03).
Workarounds
Only pass controlled data to metaColumns(), metaForeignKeys() and metaIndexes() method's $table parameter.
Credits
Thanks to Marco Nappi (@mrcnpp) for reporting this vulnerability.
Пакеты
adodb/adodb-php
<= 5.22.9
5.22.10
Связанные уязвимости
ADOdb is a PHP database class library that provides abstractions for performing queries and managing databases. In versions 5.22.9 and below, improper escaping of a query parameter may allow an attacker to execute arbitrary SQL statements when the code using ADOdb connects to a sqlite3 database and calls the metaColumns(), metaForeignKeys() or metaIndexes() methods with a crafted table name. This is fixed in version 5.22.10. To workaround this issue, only pass controlled data to metaColumns(), metaForeignKeys() and metaIndexes() method's $table parameter.
ADOdb is a PHP database class library that provides abstractions for performing queries and managing databases. In versions 5.22.9 and below, improper escaping of a query parameter may allow an attacker to execute arbitrary SQL statements when the code using ADOdb connects to a sqlite3 database and calls the metaColumns(), metaForeignKeys() or metaIndexes() methods with a crafted table name. This is fixed in version 5.22.10. To workaround this issue, only pass controlled data to metaColumns(), metaForeignKeys() and metaIndexes() method's $table parameter.
ADOdb is a PHP database class library that provides abstractions for p ...
