A heap buffer overflow was found in redis. Specially crafted Lua scripts executing in Redis cause the heap-based Lua stack to overflow due to incomplete checks for this condition. 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.
Redis is an open source, in-memory database that persists on disk. The redis-cli command line tool and redis-sentinel service may be vulnerable to integer overflow when parsing specially crafted large multi-bulk network replies. This is a result of a vulnerability in the underlying hiredis library which does not perform an overflow check before calling the calloc() heap allocation function. This issue only impacts systems with heap allocators that do not perform their own overflow checks. Most modern systems do and are therefore not likely to be affected. Furthermore, by default redis-sentinel uses the jemalloc allocator which is also not vulnerable. The problem is fixed in Redis versions 6.2.6, 6.0.16 and 5.0.14.
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.
Redis is an in-memory database that persists on disk. Authenticated users issuing specially crafted SETRANGE and SORT(RO) commands can trigger an integer overflow, resulting with Redis attempting to allocate impossible amounts of memory and abort with an out-of-memory (OOM) panic. The problem is fixed in Redis versions 7.0.8, 6.2.9 and 6.0.17. Users are advised to upgrade. There are no known workarounds for this vulnerability.
A flaw was found in redis. When using the Redis Lua Debugger, users can send malformed requests that cause the debugger’s protocol parser to read data beyond the actual buffer, potentially leading to an information disclosure.