Уязвимость функции streamGetEdgeID системы управления базами данных (СУБД) Redis, позволяющая нарушителю оказать воздействие на конфиденциальность, целостность и доступность данных

Уязвимость системы управления базами данных (СУБД) Redis, связанная с переполнением буфера в куче, позволяющая нарушителю выполнить произвольный код

Уязвимость реализации команды XAUTOCLAIM системы управления базами данных (СУБД) Redis, позволяющая нарушителю выполнить произвольный код

Уязвимость системы управления базами данных (СУБД) Redis, связанная с целочисленным переполнением при обработке объектов, позволяющая нарушителю вызвать отказ в обслуживании

Уязвимость системы управления базами данных (СУБД) Redis, связанная с недостаточным контролем потребления внутренних ресурсов при сопоставлении команд SCAN или KEYS со специально созданным шаблоном, позволяющая нарушителю вызвать отказ в обслуживании

Уязвимость системы управления баз данных Redis, связанная с целочисленным переполнением буфера памяти, позволяющая нарушителю вызвать отказ в обслуживании

Уязвимость системы управления базами данных (СУБД) Redis, связанная с отсутствием мер по очистке входных данных, позволяющая нарушителю отправить специально созданную команду MSETNX, вызвать отказ в обслуживании, завершив процесс сервера Redis

Уязвимость системы управления базами данных (СУБД) Redis, связанная с недостаточной проверкой вводимых данных, позволяющая нарушителю вызвать отказ в обслуживании

Уязвимость системы управления базами данных (СУБД) Redis, cвязанная с переполнением буфера, позволяющая нарушителю выполнить произвольный код

Уязвимость системы управления базами данных Redis, связанная с небезопасным управлением привилегиями, позволяющая нарушителю получить несанкционированный доступ к ключам, которые явно не авторизованы конфигурацией ACL

Уязвимость библиотек cjson и cmsgpack системы управления базами данных (СУБД) Redis, позволяющая нарушителю выполнить произвольный код

Уязвимость сокета Unix системы управления базами данных Redis, связана с раскрытием информации в ошибочной области данных, позволяющая нарушителю раскрыть защищаемую информацию

Уязвимость системы управления базами данных (СУБД) Redis, связанная с целочисленным переполнением, позволяющая нарушителю вызвать отказ в обслуживании

Уязвимость системы управления базами данных (СУБД) Redis, связанная с целочисленным переполнением, позволяющая нарушителю выполнить произвольный код

Уязвимость системы управления базами данных (СУБД) Redis, связанная с переполнением буфера в стеке, позволяющая нарушителю выполнить произвольный код

Уязвимость системы управления базами данных Redis, существующая из-за недостаточной проверки входных данных, позволяющая нарушителю вызвать отказ в обслуживании

Уязвимость системы управления базами данных (СУБД) Redis, связанная с использованием памяти после её освобождения, позволяющая нарушителю выполнить произвольный код

Уязвимость системы управления базами данных Redis, связанная с недостаточной проверкой входных данных, позволяющая нарушителю вызвать отказ в обслуживании

Уязвимость сервера системы управления базами данных (СУБД) Redis, позволяющая нарушителю вызвать отказ в обслуживании

Уязвимость сервера системы управления базами данных (СУБД) Redis, позволяющая нарушителю выполнить произвольный код

Уязвимость команды redis-check-aof системы управления базами данных (СУБД) Redis, позволяющая нарушителю выполнить произвольный код

Уязвимость сервера системы управления базами данных (СУБД) Redis, связанная с неограниченным распределением ресурсов, позволяющая нарушителю вызвать отказ в обслуживании

Уязвимость системы управления базами данных (СУБД) Redis, связанная с использованием памяти после её освобождения, позволяющая нарушителю выполнить произвольный код

Уязвимость системы управления базами данных (СУБД) Redis, связанная с неверным управлением генерацией кода, позволяющая нарушителю выполнить произвольный код

Уязвимость системы управления базами данных (СУБД) Redis, связанная с целочисленным переполнением, позволяющая нарушителю выполнить произвольный код

Redis is an in-memory database that persists on disk. A specially crafted Lua script executing in Redis can trigger a heap overflow in the cjson library, and result with heap corruption and potentially remote code execution. The problem exists in all versions of Redis with Lua scripting support, starting from 2.6, and affects only authenticated and authorized users. The problem is fixed in versions 7.0.12, 6.2.13, and 6.0.20.

Redis is an in-memory database that persists on disk. A specially crafted `XAUTOCLAIM` command on a stream key in a specific state may result with heap overflow, and potentially remote code execution. This problem affects versions on the 7.x branch prior to 7.0.4. The patch is released in version 7.0.4.

Redis v7.0 was discovered to contain a memory leak via the component streamGetEdgeID.

Redis is an in-memory database that persists on disk. Versions 7.0.0 and above, prior to 7.0.5 are vulnerable to an Integer Overflow. Executing an `XAUTOCLAIM` command on a stream key in a specific state, with a specially crafted `COUNT` argument may cause an integer overflow, a subsequent heap overflow, and potentially lead to remote code execution. This has been patched in Redis version 7.0.5. No known workarounds exist.

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.

Redis is an in-memory database that persists on disk. Authenticated users can use string matching commands (like `SCAN` or `KEYS`) with a specially crafted pattern to trigger a denial-of-service attack on Redis, causing it to hang and consume 100% CPU time. The problem is fixed in Redis versions 6.0.18, 6.2.11, 7.0.9.

Redis is an in-memory database that persists on disk. Authenticated users can issue a `HRANDFIELD` or `ZRANDMEMBER` command with specially crafted arguments to trigger a denial-of-service by crashing Redis with an assertion failure. This problem affects Redis versions 6.2 or newer up to but not including 6.2.9 as well as versions 7.0 up to but not including 7.0.8. Users are advised to upgrade. There are no known workarounds for this vulnerability.

Redis is an in-memory database that persists on disk. Authenticated users issuing specially crafted `SRANDMEMBER`, `ZRANDMEMBER`, and `HRANDFIELD` commands can trigger an integer overflow, resulting in a runtime assertion and termination of the Redis server process. This problem affects all Redis versions. Patches were released in Redis version(s) 6.0.18, 6.2.11 and 7.0.9.

Redis is an in-memory database that persists on disk. Starting in version 7.0.8 and prior to version 7.0.10, authenticated users can use the MSETNX command to trigger a runtime assertion and termination of the Redis server process. The problem is fixed in Redis version 7.0.10.

Redis is an open source, in-memory database that persists on disk. Authenticated users can use the `HINCRBYFLOAT` command to create an invalid hash field that will crash Redis on access in affected versions. This issue has been addressed in in versions 7.0.11, 6.2.12, and 6.0.19. Users are advised to upgrade. There are no known workarounds for this issue.

redis v7.0.10 was discovered to contain a segmentation violation. This vulnerability allows attackers to cause a Denial of Service (DoS) via unspecified vectors.

Redis is an in-memory database that persists on disk. In Redit 7.0 prior to 7.0.12, extracting key names from a command and a list of arguments may, in some cases, trigger a heap overflow and result in reading random heap memory, heap corruption and potentially remote code execution. Several scenarios that may lead to authenticated users executing a specially crafted `COMMAND GETKEYS` or `COMMAND GETKEYSANDFLAGS`and authenticated users who were set with ACL rules that match key names, executing a specially crafted command that refers to a variadic list of key names. The vulnerability is patched in Redis 7.0.12.

Redis is an in-memory database that persists on disk. Redis does not correctly identify keys accessed by `SORT_RO` and as a result may grant users executing this command access to keys that are not explicitly authorized by the ACL configuration. The problem exists in Redis 7.0 or newer and has been fixed in Redis 7.0.13 and 7.2.1. Users are advised to upgrade. There are no known workarounds for this vulnerability.

Redis is an in-memory database that persists on disk. Redis incorrectly handles resizing of memory buffers which can result in integer overflow that leads to heap overflow and potential remote code execution. This issue has been patched in version 7.0.15 and 7.2.4.

Redis is an in-memory database that persists on disk. On startup, Redis begins listening on a Unix socket before adjusting its permissions to the user-provided configuration. If a permissive umask(2) is used, this creates a race condition that enables, during a short period of time, another process to establish an otherwise unauthorized connection. This problem has existed since Redis 2.6.0-RC1. This issue has been addressed in Redis versions 7.2.2, 7.0.14 and 6.2.14. Users are advised to upgrade. For users unable to upgrade, it is possible to work around the problem by disabling Unix sockets, starting Redis with a restrictive umask, or storing the Unix socket file in a protected directory.

Redis is an open source, in-memory database that persists on disk. An authenticated with sufficient privileges may create a malformed ACL selector which, when accessed, triggers a server panic and subsequent denial of service. The problem exists in Redis 7 prior to versions 7.2.6 and 7.4.1. Users are advised to upgrade. There are no known workarounds for this vulnerability.

Redis is an open source, in-memory database that persists on disk. Authenticated users can trigger a denial-of-service by using specially crafted, long string match patterns on supported commands such as `KEYS`, `SCAN`, `PSUBSCRIBE`, `FUNCTION LIST`, `COMMAND LIST` and ACL definitions. Matching of extremely long patterns may result in unbounded recursion, leading to stack overflow and process crash. This problem has been fixed in Redis versions 6.2.16, 7.2.6, and 7.4.1. Users are advised to upgrade. There are no known workarounds for this vulnerability.

Redis is an open source, in-memory database that persists on disk. An authenticated user may use a specially crafted Lua script to trigger a stack buffer overflow in the bit library, which may potentially lead to remote code execution. The problem exists in all versions of Redis with Lua scripting. This problem has been fixed in Redis versions 6.2.16, 7.2.6, and 7.4.1. Users are advised to upgrade. There are no known workarounds for this vulnerability.

Redis is an open source, in-memory database that persists on disk. An authenticated user may use a specially crafted Lua script to manipulate the garbage collector and potentially lead to remote code execution. The problem is fixed in 7.4.2, 7.2.7, and 6.2.17. An additional workaround to mitigate the problem without patching the redis-server executable is to prevent users from executing Lua scripts. This can be done using ACL to restrict EVAL and EVALSHA commands.

Redis is an open source, in-memory database that persists on disk. An authenticated with sufficient privileges may create a malformed ACL selector which, when accessed, triggers a server panic and subsequent denial of service. The problem is fixed in Redis 7.2.7 and 7.4.2.

Redis is an open source, in-memory database that persists on disk. In versions starting at 2.6 and prior to 7.4.3, An unauthenticated client can cause unlimited growth of output buffers, until the server runs out of memory or is killed. By default, the Redis configuration does not limit the output buffer of normal clients (see client-output-buffer-limit). Therefore, the output buffer can grow unlimitedly over time. As a result, the service is exhausted and the memory is unavailable. When password authentication is enabled on the Redis server, but no password is provided, the client can still cause the output buffer to grow from "NOAUTH" responses until the system will run out of memory. This issue has been patched in version 7.4.3. An additional workaround to mitigate this problem without patching the redis-server executable is to block access to prevent unauthenticated users from connecting to Redis. This can be done in different ways. Either using network access control tools like firewalls, iptables, security groups, etc, or enabling TLS and requiring users to authenticate using client side certificates.

Redis is an open source, in-memory database that persists on disk. In versions starting from 7.0.0 to before 8.0.2, a stack-based buffer overflow exists in redis-check-aof due to the use of memcpy with strlen(filepath) when copying a user-supplied file path into a fixed-size stack buffer. This allows an attacker to overflow the stack and potentially achieve code execution. This issue has been patched in version 8.0.2.

Redis is an open source, in-memory database that persists on disk. From 2.8 to before 8.0.3, 7.4.5, 7.2.10, and 6.2.19, an authenticated user may use a specially crafted string to trigger a stack/heap out of bounds write on hyperloglog operations, potentially leading to remote code execution. The bug likely affects all Redis versions with hyperloglog operations implemented. This vulnerability is fixed in 8.0.3, 7.4.5, 7.2.10, and 6.2.19. An additional workaround to mitigate the problem without patching the redis-server executable is to prevent users from executing hyperloglog operations. This can be done using ACL to restrict HLL commands.

Redis is an open source, in-memory database that persists on disk. Versions 8.2.1 and below allow an authenticated user to use a specially crafted Lua script to cause an integer overflow and potentially lead to remote code execution The problem exists in all versions of Redis with Lua scripting. This issue is fixed in version 8.2.2.

Redis is an open source, in-memory database that persists on disk. Versions 8.2.1 and below allow an authenticated user to use a specially crafted Lua script to manipulate different LUA objects and potentially run their own code in the context of another user. The problem exists in all versions of Redis with LUA scripting. This issue is fixed in version 8.2.2. A workaround to mitigate the problem without patching the redis-server executable is to prevent users from executing LUA scripts. This can be done using ACL to block a script by restricting both the EVAL and FUNCTION command families.

Redis is an open source, in-memory database that persists on disk. Versions 8.2.1 and below allow an authenticated user to use a specially crafted LUA script to read out-of-bound data or crash the server and subsequent denial of service. The problem exists in all versions of Redis with Lua scripting. This issue is fixed in version 8.2.2. To workaround this issue without patching the redis-server executable is to prevent users from executing Lua scripts. This can be done using ACL to block a script by restricting both the EVAL and FUNCTION command families.

Redis is an open source, in-memory database that persists on disk. An unauthenticated connection can cause repeated IP protocol errors, leading to client starvation and, ultimately, a denial of service. This vulnerability is fixed in 8.0.3, 7.4.5, 7.2.10, and 6.2.19.

Redis is an open source, in-memory database that persists on disk. Versions 8.2.1 and below allow an authenticated user to use a specially crafted Lua script to manipulate the garbage collector, trigger a use-after-free and potentially lead to remote code execution. The problem exists in all versions of Redis with Lua scripting. This issue is fixed in version 8.2.2. To workaround this issue without patching the redis-server executable is to prevent users from executing Lua scripts. This can be done using ACL to restrict EVAL and EVALSHA commands.

Ошибка запуска redis-sentinel.service

redis-sentinel не имеет прав на запись конфигурационного файла

redis перестал запускаться после обновления до 6.2.13-alt1

A command inject vulnerability allows an attacker to perform command injection on Windows applications that indirectly depend on the CreateProcess function when the specific conditions are satisfied.

The Parse function permits values other than IPv6 addresses to be included in square brackets within the host component of a URL. RFC 3986 permits IPv6 addresses to be included within the host component, enclosed within square brackets. For example: "http://[::1]/". IPv4 addresses and hostnames must not appear within square brackets. Parse did not enforce this requirement.

tar.Reader does not set a maximum size on the number of sparse region data blocks in GNU tar pax 1.0 sparse files. A maliciously-crafted archive containing a large number of sparse regions can cause a Reader to read an unbounded amount of data from the archive into memory. When reading from a compressed source, a small compressed input can result in large allocations.

Parsing a maliciously crafted DER payload could allocate large amounts of memory, causing memory exhaustion.

Despite HTTP headers having a default limit of 1MB, the number of cookies that can be parsed does not have a limit. By sending a lot of very small cookies such as "a=;", an attacker can make an HTTP server allocate a large amount of structs, causing large memory consumption.

Due to the design of the name constraint checking algorithm, the processing time of some inputs scals non-linearly with respect to the size of the certificate. This affects programs which validate arbitrary certificate chains.

Validating certificate chains which contain DSA public keys can cause programs to panic, due to a interface cast that assumes they implement the Equal method. This affects programs which validate arbitrary certificate chains.

When Conn.Handshake fails during ALPN negotiation the error contains attacker controlled information (the ALPN protocols sent by the client) which is not escaped.

The processing time for parsing some invalid inputs scales non-linearly with respect to the size of the input. This affects programs which parse untrusted PEM inputs.

The Reader.ReadResponse function constructs a response string through repeated string concatenation of lines. When the number of lines in a response is large, this can cause excessive CPU consumption.

The ParseAddress function constructeds domain-literal address components through repeated string concatenation. When parsing large domain-literal components, this can cause excessive CPU consumption.