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authorAlexey Budankov <alexey.budankov@linux.intel.com>2019-02-11 14:43:54 +0100
committerJonathan Corbet <corbet@lwn.net>2019-02-18 00:04:51 +0100
commit68570ca0b4b5194c7680c5caf9669b6bcbc6153a (patch)
tree0fdb87ad5697c535674bbeb4b1215d67b9bb3c3b /Documentation/admin-guide/perf-security.rst
parentperf-security: document perf_events/Perf resource control (diff)
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perf-security: document collected perf_events/Perf data categories
Document and categorize system and performance data into groups that can be captured by perf_events/Perf and explicitly indicate the group that can contain process sensitive data. Signed-off-by: Alexey Budankov <alexey.budankov@linux.intel.com> Signed-off-by: Jonathan Corbet <corbet@lwn.net>
Diffstat (limited to 'Documentation/admin-guide/perf-security.rst')
-rw-r--r--Documentation/admin-guide/perf-security.rst32
1 files changed, 30 insertions, 2 deletions
diff --git a/Documentation/admin-guide/perf-security.rst b/Documentation/admin-guide/perf-security.rst
index bac599e3c55f..8772d44a5912 100644
--- a/Documentation/admin-guide/perf-security.rst
+++ b/Documentation/admin-guide/perf-security.rst
@@ -11,8 +11,34 @@ impose a considerable risk of leaking sensitive data accessed by monitored
processes. The data leakage is possible both in scenarios of direct usage of
perf_events system call API [2]_ and over data files generated by Perf tool user
mode utility (Perf) [3]_ , [4]_ . The risk depends on the nature of data that
-perf_events performance monitoring units (PMU) [2]_ collect and expose for
-performance analysis. Having that said perf_events/Perf performance monitoring
+perf_events performance monitoring units (PMU) [2]_ and Perf collect and expose
+for performance analysis. Collected system and performance data may be split into
+several categories:
+
+1. System hardware and software configuration data, for example: a CPU model and
+ its cache configuration, an amount of available memory and its topology, used
+ kernel and Perf versions, performance monitoring setup including experiment
+ time, events configuration, Perf command line parameters, etc.
+
+2. User and kernel module paths and their load addresses with sizes, process and
+ thread names with their PIDs and TIDs, timestamps for captured hardware and
+ software events.
+
+3. Content of kernel software counters (e.g., for context switches, page faults,
+ CPU migrations), architectural hardware performance counters (PMC) [8]_ and
+ machine specific registers (MSR) [9]_ that provide execution metrics for
+ various monitored parts of the system (e.g., memory controller (IMC), interconnect
+ (QPI/UPI) or peripheral (PCIe) uncore counters) without direct attribution to any
+ execution context state.
+
+4. Content of architectural execution context registers (e.g., RIP, RSP, RBP on
+ x86_64), process user and kernel space memory addresses and data, content of
+ various architectural MSRs that capture data from this category.
+
+Data that belong to the fourth category can potentially contain sensitive process
+data. If PMUs in some monitoring modes capture values of execution context registers
+or data from process memory then access to such monitoring capabilities requires
+to be ordered and secured properly. So, perf_events/Perf performance monitoring
is the subject for security access control management [5]_ .
perf_events/Perf access control
@@ -134,6 +160,8 @@ Bibliography
.. [5] `<https://www.kernel.org/doc/html/latest/security/credentials.html>`_
.. [6] `<http://man7.org/linux/man-pages/man7/capabilities.7.html>`_
.. [7] `<http://man7.org/linux/man-pages/man2/ptrace.2.html>`_
+.. [8] `<https://en.wikipedia.org/wiki/Hardware_performance_counter>`_
+.. [9] `<https://en.wikipedia.org/wiki/Model-specific_register>`_
.. [11] `<http://man7.org/linux/man-pages/man2/getrlimit.2.html>`_
.. [12] `<http://man7.org/linux/man-pages/man5/limits.conf.5.html>`_