From patchwork Fri Feb 1 07:30:02 2019 Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 Content-Transfer-Encoding: 7bit X-Patchwork-Submitter: Alexey Budankov X-Patchwork-Id: 10791875 Return-Path: Received: from mail.wl.linuxfoundation.org (pdx-wl-mail.web.codeaurora.org [172.30.200.125]) by pdx-korg-patchwork-2.web.codeaurora.org (Postfix) with ESMTP id 9324E6C2 for ; Fri, 1 Feb 2019 07:30:23 +0000 (UTC) Received: from mail.wl.linuxfoundation.org (localhost [127.0.0.1]) by mail.wl.linuxfoundation.org (Postfix) with ESMTP id 7EDDB3198A for ; Fri, 1 Feb 2019 07:30:23 +0000 (UTC) Received: by mail.wl.linuxfoundation.org (Postfix, from userid 486) id 632953148E; Fri, 1 Feb 2019 07:30:23 +0000 (UTC) X-Spam-Checker-Version: SpamAssassin 3.3.1 (2010-03-16) on pdx-wl-mail.web.codeaurora.org X-Spam-Level: X-Spam-Status: No, score=-5.2 required=2.0 tests=BAYES_00,MAILING_LIST_MULTI, RCVD_IN_DNSWL_MED autolearn=ham version=3.3.1 Received: from mother.openwall.net (mother.openwall.net [195.42.179.200]) by mail.wl.linuxfoundation.org (Postfix) with SMTP id 54CBD3198A for ; Fri, 1 Feb 2019 07:30:22 +0000 (UTC) Received: (qmail 24141 invoked by uid 550); 1 Feb 2019 07:30:21 -0000 Mailing-List: contact kernel-hardening-help@lists.openwall.com; run by ezmlm Precedence: bulk List-Post: List-Help: List-Unsubscribe: List-Subscribe: List-ID: Delivered-To: mailing list kernel-hardening@lists.openwall.com Received: (qmail 24123 invoked from network); 1 Feb 2019 07:30:20 -0000 X-Amp-Result: SKIPPED(no attachment in message) X-Amp-File-Uploaded: False X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.56,547,1539673200"; d="scan'208";a="130680853" Subject: [PATCH v1 2/3] perf-security: document collected perf_events/Perf data categories From: Alexey Budankov To: Jonatan Corbet , Kees Cook , Peter Zijlstra , Thomas Gleixner , Ingo Molnar Cc: Jann Horn , Arnaldo Carvalho de Melo , Jiri Olsa , Namhyung Kim , Alexander Shishkin , Mark Rutland , Andi Kleen , Tvrtko Ursulin , "kernel-hardening@lists.openwall.com" , "linux-doc@vger.kernel.org" , linux-kernel References: <9cfbf7a1-72dd-f9d0-8137-0f120fa74d21@linux.intel.com> Organization: Intel Corp. Message-ID: <2af12b3e-3003-1b30-8e8e-fcdf6a1dcf57@linux.intel.com> Date: Fri, 1 Feb 2019 10:30:02 +0300 User-Agent: Mozilla/5.0 (Windows NT 10.0; WOW64; rv:60.0) Gecko/20100101 Thunderbird/60.4.0 MIME-Version: 1.0 In-Reply-To: <9cfbf7a1-72dd-f9d0-8137-0f120fa74d21@linux.intel.com> Content-Language: en-US X-Virus-Scanned: ClamAV using ClamSMTP 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 --- Documentation/admin-guide/perf-security.rst | 32 +++++++++++++++++++-- 1 file changed, 30 insertions(+), 2 deletions(-) diff --git a/Documentation/admin-guide/perf-security.rst b/Documentation/admin-guide/perf-security.rst index ff6832191577..7da7fa459718 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 @@ -128,6 +154,8 @@ Bibliography .. [5] ``_ .. [6] ``_ .. [7] ``_ +.. [8] ``_ +.. [9] ``_ .. [11] ``_ .. [12] ``_