[<prev] [next>] [<thread-prev] [thread-next>] [day] [month] [year] [list]
Message-Id: <20210307113031.11671-8-john.wood@gmx.com>
Date: Sun, 7 Mar 2021 12:30:30 +0100
From: John Wood <john.wood@....com>
To: Kees Cook <keescook@...omium.org>,
Jann Horn <jannh@...gle.com>,
Randy Dunlap <rdunlap@...radead.org>,
Jonathan Corbet <corbet@....net>,
James Morris <jmorris@...ei.org>,
Shuah Khan <shuah@...nel.org>
Cc: John Wood <john.wood@....com>,
"Serge E. Hallyn" <serge@...lyn.com>,
Greg Kroah-Hartman <gregkh@...uxfoundation.org>,
Andi Kleen <ak@...ux.intel.com>,
kernel test robot <oliver.sang@...el.com>,
linux-doc@...r.kernel.org,
linux-kernel@...r.kernel.org,
linux-security-module@...r.kernel.org,
linux-kselftest@...r.kernel.org,
kernel-hardening@...ts.openwall.com
Subject: [PATCH v6 7/8] Documentation: Add documentation for the Brute LSM
Add some info detailing what is the Brute LSM, its motivation, weak
points of existing implementations, proposed solutions, enabling,
disabling and self-tests.
Signed-off-by: John Wood <john.wood@....com>
---
Documentation/admin-guide/LSM/Brute.rst | 278 ++++++++++++++++++++++++
Documentation/admin-guide/LSM/index.rst | 1 +
security/brute/Kconfig | 3 +-
3 files changed, 281 insertions(+), 1 deletion(-)
create mode 100644 Documentation/admin-guide/LSM/Brute.rst
diff --git a/Documentation/admin-guide/LSM/Brute.rst b/Documentation/admin-guide/LSM/Brute.rst
new file mode 100644
index 000000000000..ca80aef9aa67
--- /dev/null
+++ b/Documentation/admin-guide/LSM/Brute.rst
@@ -0,0 +1,278 @@
+.. SPDX-License-Identifier: GPL-2.0
+===========================================================
+Brute: Fork brute force attack detection and mitigation LSM
+===========================================================
+
+Attacks against vulnerable userspace applications with the purpose to break ASLR
+or bypass canaries traditionally use some level of brute force with the help of
+the fork system call. This is possible since when creating a new process using
+fork its memory contents are the same as those of the parent process (the
+process that called the fork system call). So, the attacker can test the memory
+infinite times to find the correct memory values or the correct memory addresses
+without worrying about crashing the application.
+
+Based on the above scenario it would be nice to have this detected and
+mitigated, and this is the goal of this implementation. Specifically the
+following attacks are expected to be detected:
+
+1.- Launching (fork()/exec()) a setuid/setgid process repeatedly until a
+ desirable memory layout is got (e.g. Stack Clash).
+2.- Connecting to an exec()ing network daemon (e.g. xinetd) repeatedly until a
+ desirable memory layout is got (e.g. what CTFs do for simple network
+ service).
+3.- Launching processes without exec() (e.g. Android Zygote) and exposing state
+ to attack a sibling.
+4.- Connecting to a fork()ing network daemon (e.g. apache) repeatedly until the
+ previously shared memory layout of all the other children is exposed (e.g.
+ kind of related to HeartBleed).
+
+In each case, a privilege boundary has been crossed:
+
+Case 1: setuid/setgid process
+Case 2: network to local
+Case 3: privilege changes
+Case 4: network to local
+
+So, what really needs to be detected are fork/exec brute force attacks that
+cross any of the commented bounds.
+
+
+Other implementations
+=====================
+
+The public version of grsecurity, as a summary, is based on the idea of delaying
+the fork system call if a child died due to some fatal signal (SIGSEGV, SIGBUS,
+SIGKILL or SIGILL). This has some issues:
+
+Bad practices
+-------------
+
+Adding delays to the kernel is, in general, a bad idea.
+
+Scenarios not detected (false negatives)
+----------------------------------------
+
+This protection acts only when the fork system call is called after a child has
+crashed. So, it would still be possible for an attacker to fork a big amount of
+children (in the order of thousands), then probe all of them, and finally wait
+the protection time before repeating the steps.
+
+Moreover, this method is based on the idea that the protection doesn't act if
+the parent crashes. So, it would still be possible for an attacker to fork a
+process and probe itself. Then, fork the child process and probe itself again.
+This way, these steps can be repeated infinite times without any mitigation.
+
+Scenarios detected (false positives)
+------------------------------------
+
+Scenarios where an application rarely fails for reasons unrelated to a real
+attack.
+
+
+This implementation
+===================
+
+The main idea behind this implementation is to improve the existing ones
+focusing on the weak points annotated before. Basically, the adopted solution is
+to detect a fast crash rate instead of only one simple crash and to detect both
+the crash of parent and child processes. Also, fine tune the detection focusing
+on privilege boundary crossing. And finally, as a mitigation method, kill all
+the offending tasks involved in the attack instead of using delays.
+
+To achieve this goal, and going into more details, this implementation is based
+on the use of some statistical data shared across all the processes that can
+have the same memory contents. Or in other words, a statistical data shared
+between all the fork hierarchy processes after an execve system call.
+
+The purpose of these statistics is, basically, collect all the necessary info
+to compute the application crash period in order to detect an attack. This crash
+period is the time between the execve system call and the first fault or the
+time between two consecutive faults, but this has a drawback. If an application
+crashes twice in a short period of time for some reason unrelated to a real
+attack, a false positive will be triggered. To avoid this scenario the
+exponential moving average (EMA) is used. This way, the application crash period
+will be a value that is not prone to change due to spurious data and follows the
+real crash period.
+
+To detect a brute force attack it is necessary that the statistics shared by all
+the fork hierarchy processes be updated in every fatal crash and the most
+important data to update is the application crash period.
+
+These statistics are hold by the brute_stats struct.
+
+struct brute_cred {
+ kuid_t uid;
+ kgid_t gid;
+ kuid_t suid;
+ kgid_t sgid;
+ kuid_t euid;
+ kgid_t egid;
+ kuid_t fsuid;
+ kgid_t fsgid;
+};
+
+struct brute_stats {
+ spinlock_t lock;
+ refcount_t refc;
+ unsigned char faults;
+ u64 jiffies;
+ u64 period;
+ struct brute_cred saved_cred;
+ unsigned char network : 1;
+ unsigned char bounds_crossed : 1;
+};
+
+This is a fixed sized struct, so the memory usage will be based on the current
+number of processes exec()ing. The previous sentence is true since in every fork
+system call the parent's statistics are shared with the child process and in
+every execve system call a new brute_stats struct is allocated. So, only one
+brute_stats struct is used for every fork hierarchy (hierarchy of processes from
+the execve system call).
+
+There are two types of brute force attacks that need to be detected. The first
+one is an attack that happens through the fork system call and the second one is
+an attack that happens through the execve system call. The first type uses the
+statistics shared by all the fork hierarchy processes, but the second type
+cannot use this statistical data due to these statistics dissapear when the
+involved tasks finished. In this last scenario the attack info should be tracked
+by the statistics of a higher fork hierarchy (the hierarchy that contains the
+process that forks before the execve system call).
+
+Moreover, these two attack types have two variants. A slow brute force attack
+that is detected if a maximum number of faults per fork hierarchy is reached and
+a fast brute force attack that is detected if the application crash period falls
+below a certain threshold.
+
+Once an attack has been detected, this is mitigated killing all the offending
+tasks involved. Or in other words, once an attack has been detected, this is
+mitigated killing all the processes that share the same statistics (the stats
+that show an slow or fast brute force attack).
+
+Fine tuning the attack detection
+--------------------------------
+
+To avoid false positives during the attack detection it is necessary to narrow
+the possible cases. To do so, and based on the threat scenarios that we want to
+detect, this implementation also focuses on the crossing of privilege bounds.
+
+To be precise, only the following privilege bounds are taken into account:
+
+1.- setuid/setgid process
+2.- network to local
+3.- privilege changes
+
+Moreover, only the fatal signals delivered by the kernel are taken into account
+avoiding the fatal signals sent by userspace applications (with the exception of
+the SIGABRT user signal since this is used by glibc for stack canary, malloc,
+etc. failures, which may indicate that a mitigation has been triggered).
+
+Exponential moving average (EMA)
+--------------------------------
+
+This kind of average defines a weight (between 0 and 1) for the new value to add
+and applies the remainder of the weight to the current average value. This way,
+some spurious data will not excessively modify the average and only if the new
+values are persistent, the moving average will tend towards them.
+
+Mathematically the application crash period's EMA can be expressed as follows:
+
+period_ema = period * weight + period_ema * (1 - weight)
+
+Related to the attack detection, the EMA must guarantee that not many crashes
+are needed. To demonstrate this, the scenario where an application has been
+running without any crashes for a month will be used.
+
+The period's EMA can be written now as:
+
+period_ema[i] = period[i] * weight + period_ema[i - 1] * (1 - weight)
+
+If the new crash periods have insignificant values related to the first crash
+period (a month in this case), the formula can be rewritten as:
+
+period_ema[i] = period_ema[i - 1] * (1 - weight)
+
+And by extension:
+
+period_ema[i - 1] = period_ema[i - 2] * (1 - weight)
+period_ema[i - 2] = period_ema[i - 3] * (1 - weight)
+period_ema[i - 3] = period_ema[i - 4] * (1 - weight)
+
+So, if the substitution is made:
+
+period_ema[i] = period_ema[i - 1] * (1 - weight)
+period_ema[i] = period_ema[i - 2] * pow((1 - weight) , 2)
+period_ema[i] = period_ema[i - 3] * pow((1 - weight) , 3)
+period_ema[i] = period_ema[i - 4] * pow((1 - weight) , 4)
+
+And in a more generic form:
+
+period_ema[i] = period_ema[i - n] * pow((1 - weight) , n)
+
+Where n represents the number of iterations to obtain an EMA value. Or in other
+words, the number of crashes to detect an attack.
+
+So, if we isolate the number of crashes:
+
+period_ema[i] / period_ema[i - n] = pow((1 - weight), n)
+log(period_ema[i] / period_ema[i - n]) = log(pow((1 - weight), n))
+log(period_ema[i] / period_ema[i - n]) = n * log(1 - weight)
+n = log(period_ema[i] / period_ema[i - n]) / log(1 - weight)
+
+Then, in the commented scenario (an application has been running without any
+crashes for a month), the approximate number of crashes to detect an attack
+(using the implementation values for the weight and the crash period threshold)
+is:
+
+weight = 7 / 10
+crash_period_threshold = 30 seconds
+
+n = log(crash_period_threshold / seconds_per_month) / log(1 - weight)
+n = log(30 / (30 * 24 * 3600)) / log(1 - 0.7)
+n = 9.44
+
+So, with 10 crashes for this scenario an attack will be detected. If these steps
+are repeated for different scenarios and the results are collected:
+
+1 month without any crashes ----> 9.44 crashes to detect an attack
+1 year without any crashes -----> 11.50 crashes to detect an attack
+10 years without any crashes ---> 13.42 crashes to detect an attack
+
+However, this computation has a drawback. The first data added to the EMA not
+obtains a real average showing a trend. So the solution is simple, the EMA needs
+a minimum number of data to be able to be interpreted. This way, the case where
+a few first faults are fast enough followed by no crashes is avoided.
+
+Per system enabling/disabling
+-----------------------------
+
+This feature can be enabled at build time using the CONFIG_SECURITY_FORK_BRUTE
+option or using the visual config application under the following menu:
+
+Security options ---> Fork brute force attack detection and mitigation
+
+Also, at boot time, this feature can be disable too, by changing the "lsm=" boot
+parameter.
+
+Kernel selftests
+----------------
+
+To validate all the expectations about this implementation, there is a set of
+selftests. This tests cover fork/exec brute force attacks crossing the following
+privilege boundaries:
+
+1.- setuid process
+2.- privilege changes
+3.- network to local
+
+Also, there are some tests to check that fork/exec brute force attacks without
+crossing any privilege boundariy already commented doesn't trigger the detection
+and mitigation stage.
+
+To build the tests:
+make -C tools/testing/selftests/ TARGETS=brute
+
+To run the tests:
+make -C tools/testing/selftests TARGETS=brute run_tests
+
+To package the tests:
+make -C tools/testing/selftests TARGETS=brute gen_tar
diff --git a/Documentation/admin-guide/LSM/index.rst b/Documentation/admin-guide/LSM/index.rst
index a6ba95fbaa9f..1f68982bb330 100644
--- a/Documentation/admin-guide/LSM/index.rst
+++ b/Documentation/admin-guide/LSM/index.rst
@@ -41,6 +41,7 @@ subdirectories.
:maxdepth: 1
apparmor
+ Brute
LoadPin
SELinux
Smack
diff --git a/security/brute/Kconfig b/security/brute/Kconfig
index 1bd2df1e2dec..334d7e88d27f 100644
--- a/security/brute/Kconfig
+++ b/security/brute/Kconfig
@@ -7,6 +7,7 @@ config SECURITY_FORK_BRUTE
vulnerable userspace processes. The detection method is based on
the application crash period and as a mitigation procedure all the
offending tasks are killed. Like capabilities, this security module
- stacks with other LSMs.
+ stacks with other LSMs. Further information can be found in
+ Documentation/admin-guide/LSM/Brute.rst.
If you are unsure how to answer this question, answer N.
--
2.25.1
Powered by blists - more mailing lists
Confused about mailing lists and their use?
Read about mailing lists on Wikipedia
and check out these
guidelines on proper formatting of your messages.
