An integer overflow issue was found in redis in the underlying string library. The vulnerability involves changing the default "proto-max-bulk-len" configuration parameter to a very large value and constructing specially crafted network payloads or commands. This flaw allows a remote attacker to corrupt the heap and potentially trigger remote code execution. The highest threat from this vulnerability is to confidentiality, integrity, as well as system availability.

An integer overflow issue was found in the redis ziplist data structure. The vulnerability involves modifying the default ziplist configuration parameters (hash-max-ziplist-entries, hash-max-ziplist-value, zset-max-ziplist-entries or zset-max-ziplist-value) to a very large value, and then constructing specially crafted commands to create very large ziplists. This flaw allows a remote attacker to corrupt the heap and potentially trigger remote code execution. The highest threat from this vulnerability is to confidentiality, integrity, as well as system availability.

An integer overflow issue was found in redis. The vulnerability involves changing the default "set-max-intset-entries" configuration parameter to a very large value and constructing specially crafted commands to manipulate sets. This flaw allows a remote attacker to leak arbitrary contents of the heap or potentially trigger remote code execution. The highest threat from this vulnerability is to confidentiality, integrity, as well as system availability.

An integer overflow issue was found in redis. The vulnerability involves changing the default "proto-max-bulk-len" and "client-query-buffer-limit" configuration parameters to very large values and constructing specially crafted large stream elements. This flaw allows a remote attacker to corrupt the heap and potentially trigger remote code execution. The highest threat from this vulnerability is to confidentiality, integrity, as well as system availability.

A flaw was found in redis. When parsing an incoming Redis Standard Protocol (RESP) request, redis allocates memory according to user-specified values, which determine the number of elements (in the multi-bulk header) and size of each element (in the bulk header). This flaw allows an unauthenticated, remote user delivering specially crafted requests over multiple connections to cause the server to allocate a significant amount of memory, resulting in a denial of service. The highest threat from this vulnerability is to system availability.