antirez 0539634777 Security: CONFIG SET client-output-buffer-limit overflow fixed.
This commit fixes a vunlerability reported by Cory Duplantis
of Cisco Talos, see TALOS-2016-0206 for reference.

CONFIG SET client-output-buffer-limit accepts as client class "master"
which is actually only used to implement CLIENT KILL. The "master" class
has ID 3. What happens is that the global structure:

    server.client_obuf_limits[class]

Is accessed with class = 3. However it is a 3 elements array, so writing
the 4th element means to write up to 24 bytes of memory *after* the end
of the array, since the structure is defined as:

    typedef struct clientBufferLimitsConfig {
        unsigned long long hard_limit_bytes;
        unsigned long long soft_limit_bytes;
        time_t soft_limit_seconds;
    } clientBufferLimitsConfig;

EVALUATION OF IMPACT:

Checking what's past the boundaries of the array in the global
'server' structure, we find AOF state fields:

    clientBufferLimitsConfig client_obuf_limits[CLIENT_TYPE_OBUF_COUNT];
    /* AOF persistence */
    int aof_state;                  /* AOF_(ON|OFF|WAIT_REWRITE) */
    int aof_fsync;                  /* Kind of fsync() policy */
    char *aof_filename;             /* Name of the AOF file */
    int aof_no_fsync_on_rewrite;    /* Don't fsync if a rewrite is in prog. */
    int aof_rewrite_perc;           /* Rewrite AOF if % growth is > M and... */
    off_t aof_rewrite_min_size;     /* the AOF file is at least N bytes. */
    off_t aof_rewrite_base_size;    /* AOF size on latest startup or rewrite. */
    off_t aof_current_size;         /* AOF current size. */

Writing to most of these fields should be harmless and only cause problems in
Redis persistence that should not escalate to security problems.
However unfortunately writing to "aof_filename" could be potentially a
security issue depending on the access pattern.

Searching for "aof.filename" accesses in the source code returns many different
usages of the field, including using it as input for open(), logging to the
Redis log file or syslog, and calling the rename() syscall.

It looks possible that attacks could lead at least to informations
disclosure of the state and data inside Redis. However note that the
attacker must already have access to the server. But, worse than that,
it looks possible that being able to change the AOF filename can be used
to mount more powerful attacks: like overwriting random files with AOF
data (easily a potential security issue as demostrated here:
http://antirez.com/news/96), or even more subtle attacks where the
AOF filename is changed to a path were a malicious AOF file is loaded
in order to exploit other potential issues when the AOF parser is fed
with untrusted input (no known issue known currently).

The fix checks the places where the 'master' class is specifiedf in
order to access configuration data structures, and return an error in
this cases.

WHO IS AT RISK?

The "master" client class was introduced in Redis in Jul 28 2015.
Every Redis instance released past this date is not vulnerable
while all the releases after this date are. Notably:

    Redis 3.0.x is NOT vunlerable.
    Redis 3.2.x IS vulnerable.
    Redis unstable is vulnerable.

In order for the instance to be at risk, at least one of the following
conditions must be true:

    1. The attacker can access Redis remotely and is able to send
       the CONFIG SET command (often banned in managed Redis instances).

    2. The attacker is able to control the "redis.conf" file and
       can wait or trigger a server restart.

The problem was fixed 26th September 2016 in all the releases affected.
2016-09-26 08:56:37 +02:00
2016-07-27 12:11:31 +02:00
2016-08-02 11:00:29 +02:00
2014-09-29 06:49:06 -04:00
2015-10-27 12:08:04 +01:00
2015-04-21 18:54:49 +03:00
…
…
…
2016-05-05 08:57:48 +02:00
…

This README is just a fast quick start document. You can find more detailed documentation at http://redis.io.

What is Redis?

Redis is often referred as a data structures server. What this means is that Redis provides access to mutable data structures via a set of commands, which are sent using a server-client model with TCP sockets and a simple protocol. So different processes can query and modify the same data structures in a shared way.

Data structures implemented into Redis have a few special properties:

  • Redis cares to store them on disk, even if they are always served and modified into the server memory. This means that Redis is fast, but that is also non-volatile.
  • Implementation of data structures stress on memory efficiency, so data structures inside Redis will likely use less memory compared to the same data structure modeled using an high level programming language.
  • Redis offers a number of features that are natural to find in a database, like replication, tunable levels of durability, cluster, high availability.

Another good example is to think of Redis as a more complex version of memcached, where the operations are not just SETs and GETs, but operations to work with complex data types like Lists, Sets, ordered data structures, and so forth.

If you want to know more, this is a list of selected starting points:

Building Redis

Redis can be compiled and used on Linux, OSX, OpenBSD, NetBSD, FreeBSD. We support big endian and little endian architectures, and both 32 bit and 64 bit systems.

It may compile on Solaris derived systems (for instance SmartOS) but our support for this platform is best effort and Redis is not guaranteed to work as well as in Linux, OSX, and *BSD there.

It is as simple as:

% make

You can run a 32 bit Redis binary using:

% make 32bit

After building Redis is a good idea to test it, using:

% make test

Fixing build problems with dependencies or cached build options

Redis has some dependencies which are included into the deps directory. make does not rebuild dependencies automatically, even if something in the source code of dependencies is changed.

When you update the source code with git pull or when code inside the dependencies tree is modified in any other way, make sure to use the following command in order to really clean everything and rebuild from scratch:

make distclean

This will clean: jemalloc, lua, hiredis, linenoise.

Also if you force certain build options like 32bit target, no C compiler optimizations (for debugging purposes), and other similar build time options, those options are cached indefinitely until you issue a make distclean command.

Fixing problems building 32 bit binaries

If after building Redis with a 32 bit target you need to rebuild it with a 64 bit target, or the other way around, you need to perform a make distclean in the root directory of the Redis distribution.

In case of build errors when trying to build a 32 bit binary of Redis, try the following steps:

  • Install the packages libc6-dev-i386 (also try g++-multilib).
  • Try using the following command line instead of make 32bit: make CFLAGS="-m32 -march=native" LDFLAGS="-m32"

Allocator

Selecting a non-default memory allocator when building Redis is done by setting the MALLOC environment variable. Redis is compiled and linked against libc malloc by default, with the exception of jemalloc being the default on Linux systems. This default was picked because jemalloc has proven to have fewer fragmentation problems than libc malloc.

To force compiling against libc malloc, use:

% make MALLOC=libc

To compile against jemalloc on Mac OS X systems, use:

% make MALLOC=jemalloc

Verbose build

Redis will build with a user friendly colorized output by default. If you want to see a more verbose output use the following:

% make V=1

Running Redis

To run Redis with the default configuration just type:

% cd src
% ./redis-server

If you want to provide your redis.conf, you have to run it using an additional parameter (the path of the configuration file):

% cd src
% ./redis-server /path/to/redis.conf

It is possible to alter the Redis configuration passing parameters directly as options using the command line. Examples:

% ./redis-server --port 9999 --slaveof 127.0.0.1 6379
% ./redis-server /etc/redis/6379.conf --loglevel debug

All the options in redis.conf are also supported as options using the command line, with exactly the same name.

Playing with Redis

You can use redis-cli to play with Redis. Start a redis-server instance, then in another terminal try the following:

% cd src
% ./redis-cli
redis> ping
PONG
redis> set foo bar
OK
redis> get foo
"bar"
redis> incr mycounter
(integer) 1
redis> incr mycounter
(integer) 2
redis>

You can find the list of all the available commands at http://redis.io/commands.

Installing Redis

In order to install Redis binaries into /usr/local/bin just use:

% make install

You can use make PREFIX=/some/other/directory install if you wish to use a different destination.

Make install will just install binaries in your system, but will not configure init scripts and configuration files in the appropriate place. This is not needed if you want just to play a bit with Redis, but if you are installing it the proper way for a production system, we have a script doing this for Ubuntu and Debian systems:

% cd utils
% ./install_server.sh

The script will ask you a few questions and will setup everything you need to run Redis properly as a background daemon that will start again on system reboots.

You'll be able to stop and start Redis using the script named /etc/init.d/redis_<portnumber>, for instance /etc/init.d/redis_6379.

Code contributions

Note: by contributing code to the Redis project in any form, including sending a pull request via Github, a code fragment or patch via private email or public discussion groups, you agree to release your code under the terms of the BSD license that you can find in the COPYING file included in the Redis source distribution.

Please see the CONTRIBUTING file in this source distribution for more information.

Enjoy!

S
Description
For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine. 对于正在构建实时数据驱动型应用程序的开发人员而言,Redis 是首选的、速度最快的、功能最丰富的缓存、数据结构服务器以及文档和向量查询引擎。
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