Network Interface Grouping in the Linux Kernel
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Improving Route Scalability: Nexthops As Separate Objects
Improving Route Scalability: Nexthops as Separate Objects September 2019 David Ahern | Cumulus Networks !1 Agenda Executive Summary ▪ If you remember nothing else about this talk … Driving use case Review legacy route API Dive into Nexthop API Benefits of the new API Cumulus Networks !2 Performance with the Legacy Route API route route route prefix/lenroute prefix/lendev prefix/lendev gatewayprefix/len gatewaydev gatewaydev gateway Cumulus Networks !3 Splitting Next Hops from Routes Routes with separate Nexthop objects Legacy Route API route route prefix/len nexthop route nexthop id dev route gateway prefix/lenroute prefix/lendev prefix/lendev gatewayprefix/len gatewaydev gatewaydev gateway route prefix/len nexthop nexthop nexthop id group nexthopdev nexthop[N] gatewaydev gateway Cumulus Networks !4 Dramatically Improves Route Scalability … Cumulus Networks !5 … with the Potential for Constant Insert Times Cumulus Networks !6 Networking Operating System Using Linux APIs Routing daemon or utility manages switchd ip FRR entries in kernel FIBs via rtnetlink APIs SDK userspace ▪ Enables other control plane software to use Linux networking APIs rtnetlink Data path connections, stats, troubleshooting, … FIB notifications FIB Management of hardware offload is separate kernel upper devices tunnels ▪ Keeps hardware in sync with kernel ... eth0 swp1 swp2 swpN Userspace driver with SDK leveraging driver driver driver kernel notifications NIC switch ASIC H / W Cumulus Networks !7 NOS with switchdev Driver In-kernel switchdev driver ip FRR Leverages -
Mesalock Linux: Towards a Memory-Safe Linux Distribution
MesaLock Linux Towards a memory-safe Linux distribution Mingshen Sun MesaLock Linux Maintainer | Baidu X-Lab, USA Shanghai Jiao Tong University, 2018 whoami • Senior Security Research in Baidu X-Lab, Baidu USA • PhD, The Chinese University of Hong Kong • System security, mobile security, IoT security, and car hacking • MesaLock Linux, TaintART, Pass for iOS, etc. • mssun @ GitHub | https://mssun.me !2 MesaLock Linux • Why • What • How !3 Why • Memory corruption occurs in a computer program when the contents of a memory location are unintentionally modified; this is termed violating memory safety. • Memory safety is the state of being protected from various software bugs and security vulnerabilities when dealing with memory access, such as buffer overflows and dangling pointers. !4 Stack Buffer Overflow • https://youtu.be/T03idxny9jE !5 Types of memory errors • Access errors • Buffer overflow • Race condition • Use after free • Uninitialized variables • Memory leak • Double free !6 Memory-safety in user space • CVE-2017-13089 wget: Stack-based buffer overflow in HTTP protocol handling • A stack-based buffer overflow when processing chunked, encoded HTTP responses was found in wget. By tricking an unsuspecting user into connecting to a malicious HTTP server, an attacker could exploit this flaw to potentially execute arbitrary code. • https://bugzilla.redhat.com/show_bug.cgi?id=1505444 • POC: https://github.com/r1b/CVE-2017-13089 !7 What • Linux distribution • Memory-safe user space !8 Linux Distribution • A Linux distribution (often abbreviated as distro) is an operating system made from a software collection, which is based upon the Linux kernel and, often, a package management system. !9 Linux Distros • Server: CentOS, Federa, RedHat, Debian • Desktop: Ubuntu • Mobile: Android • Embedded: OpenWRT, Yocto • Hard-core: Arch Linux, Gentoo • Misc: ChromeOS, Alpine Linux !10 Security and Safety? • Gentoo Hardened: enables several risk-mitigating options in the toolchain, supports PaX, grSecurity, SELinux, TPE and more. -
Kernel Boot-Time Tracing
Kernel Boot-time Tracing Linux Plumbers Conference 2019 - Tracing Track Masami Hiramatsu <[email protected]> Linaro, Ltd. Speaker Masami Hiramatsu - Working for Linaro and Linaro members - Tech Lead for a Landing team - Maintainer of Kprobes and related tracing features/tools Why Kernel Boot-time Tracing? Debug and analyze boot time errors and performance issues - Measure performance statistics of kernel boot - Analyze driver init failure - Debug boot up process - Continuously tracing from boot time etc. What We Have There are already many ftrace options on kernel command line ● Setup options (trace_options=) ● Output to printk (tp_printk) ● Enable events (trace_events=) ● Enable tracers (ftrace=) ● Filtering (ftrace_filter=,ftrace_notrace=,ftrace_graph_filter=,ftrace_graph_notrace=) ● Add kprobe events (kprobe_events=) ● And other options (alloc_snapshot, traceoff_on_warning, ...) See Documentation/admin-guide/kernel-parameters.txt Example of Kernel Cmdline Parameters In grub.conf linux /boot/vmlinuz-5.1 root=UUID=5a026bbb-6a58-4c23-9814-5b1c99b82338 ro quiet splash tp_printk trace_options=”sym-addr” trace_clock=global ftrace_dump_on_oops trace_buf_size=1M trace_event=”initcall:*,irq:*,exceptions:*” kprobe_event=”p:kprobes/myevent foofunction $arg1 $arg2;p:kprobes/myevent2 barfunction %ax” What Issues? Size limitation ● kernel cmdline size is small (< 256bytes) ● A half of the cmdline is used for normal boot Only partial features supported ● ftrace has too complex features for single command line ● per-event filters/actions, instances, histograms. Solutions? 1. Use initramfs - Too late for kernel boot time tracing 2. Expand kernel cmdline - It is not easy to write down complex tracing options on bootloader (Single line options is too simple) 3. Reuse structured boot time data (Devicetree) - Well documented, structured data -> V1 & V2 series based on this. Boot-time Trace: V1 and V2 series V1 and V2 series posted at June. -
Linux Perf Event Features and Overhead
Linux perf event Features and Overhead 2013 FastPath Workshop Vince Weaver http://www.eece.maine.edu/∼vweaver [email protected] 21 April 2013 Performance Counters and Workload Optimized Systems • With processor speeds constant, cannot depend on Moore's Law to deliver increased performance • Code analysis and optimization can provide speedups in existing code on existing hardware • Systems with a single workload are best target for cross- stack hardware/kernel/application optimization • Hardware performance counters are the perfect tool for this type of optimization 1 Some Uses of Performance Counters • Traditional analysis and optimization • Finding architectural reasons for slowdown • Validating Simulators • Auto-tuning • Operating System optimization • Estimating power/energy in software 2 Linux and Performance Counters • Linux has become the operating system of choice in many domains • Runs most of the Top500 list (over 90%) on down to embedded devices (Android Phones) • Until recently had no easy access to hardware performance counters, limiting code analysis and optimization. 3 Linux Performance Counter History • oprofile { system-wide sampling profiler since 2002 • perfctr { widely used general interface available since 1999, required patching kernel • perfmon2 { another general interface, included in kernel for itanium, made generic, big push for kernel inclusion 4 Linux perf event • Developed in response to perfmon2 by Molnar and Gleixner in 2009 • Merged in 2.6.31 as \PCL" • Unusual design pushes most functionality into kernel -
Linux on IBM Z
Linux on IBM Z Pervasive Encryption with Linux on IBM Z: from a performance perspective Danijel Soldo Software Performance Analyst Linux on IBM Z Performance Evaluation _ [email protected] IBM Z / Danijel Soldo – Pervasive Encryption with Linux on IBM Z: from a performance perspective / © 2018 IBM Corporation Notices and disclaimers • © 2018 International Business Machines Corporation. No part of • Performance data contained herein was generally obtained in a this document may be reproduced or transmitted in any form controlled, isolated environments. Customer examples are without written permission from IBM. presented as illustrations of how those • U.S. Government Users Restricted Rights — use, duplication • customers have used IBM products and the results they may have or disclosure restricted by GSA ADP Schedule Contract with achieved. Actual performance, cost, savings or other results in IBM. other operating environments may vary. • Information in these presentations (including information relating • References in this document to IBM products, programs, or to products that have not yet been announced by IBM) has been services does not imply that IBM intends to make such products, reviewed for accuracy as of the date of initial publication programs or services available in all countries in which and could include unintentional technical or typographical IBM operates or does business. errors. IBM shall have no responsibility to update this information. This document is distributed “as is” without any warranty, • Workshops, sessions and associated materials may have been either express or implied. In no event, shall IBM be liable for prepared by independent session speakers, and do not necessarily any damage arising from the use of this information, reflect the views of IBM. -
Linux Performance Tools
Linux Performance Tools Brendan Gregg Senior Performance Architect Performance Engineering Team [email protected] @brendangregg This Tutorial • A tour of many Linux performance tools – To show you what can be done – With guidance for how to do it • This includes objectives, discussion, live demos – See the video of this tutorial Observability Benchmarking Tuning Stac Tuning • Massive AWS EC2 Linux cloud – 10s of thousands of cloud instances • FreeBSD for content delivery – ~33% of US Internet traffic at night • Over 50M subscribers – Recently launched in ANZ • Use Linux server tools as needed – After cloud monitoring (Atlas, etc.) and instance monitoring (Vector) tools Agenda • Methodologies • Tools • Tool Types: – Observability – Benchmarking – Tuning – Static • Profiling • Tracing Methodologies Methodologies • Objectives: – Recognize the Streetlight Anti-Method – Perform the Workload Characterization Method – Perform the USE Method – Learn how to start with the questions, before using tools – Be aware of other methodologies My system is slow… DEMO & DISCUSSION Methodologies • There are dozens of performance tools for Linux – Packages: sysstat, procps, coreutils, … – Commercial products • Methodologies can provide guidance for choosing and using tools effectively • A starting point, a process, and an ending point An#-Methodologies • The lack of a deliberate methodology… Street Light An<-Method 1. Pick observability tools that are: – Familiar – Found on the Internet – Found at random 2. Run tools 3. Look for obvious issues Drunk Man An<-Method • Tune things at random until the problem goes away Blame Someone Else An<-Method 1. Find a system or environment component you are not responsible for 2. Hypothesize that the issue is with that component 3. Redirect the issue to the responsible team 4. -
Adecuándose a La Norma ISO/IEC 1799 Mediante Software Libre
Adecu´andose a la norma ISO/IEC 1799 mediante software libre * Jose Fernando Carvajal Vi´on Grupo de Inter´esen Seguridad de ATI (ATI-GISI) <[email protected]> Javier Fern´andez-Sanguino Pe˜na Grupo de Inter´esen Seguridad de ATI (ATI-GISI) <[email protected]> 28 de octubre de 2002 Resumen Este art´ıculo muestra la forma de adecuar a la norma ISO/IEC 17999 un sistema de informaci´onimplementado en un servidor cuyo software de sistema operativo se basa en alguna alternativa de software Libre y c´odigo abierto. La utilizaci´onde una distribuci´onDebian GNU/Linux sirve como base a la que a˜nadir las utilidades y paquetes necesarios para conseguir el objetivo. ´Indice 1. Introducci´on 1 2. Objetivo y Asunciones 2 3. Cumplimiento de la Norma ISO/IEC 17799 en GNU/Linux 4 4. Conclusiones 4 5. Referencias 5 6. Referencias de herramientas 7 7. Referencias Generales 11 *Copyright (c) 2002 Jose Fernando Carvajal y Javier Fern´andez-Sanguino. Se otorga permiso para copiar, distribuir y/o modificar este documento bajo los t´erminos de la Licencia de Documen- taci´onLibre GNU, Versi´on1.1 o cualquier otra versi´onposterior publicada por la Free Software Foundation. Puede consultar una copia de la licencia en: http://www.gnu.org/copyleft/fdl.html 1 1. Introducci´on De forma general para mantener la seguridad de los activos de informaci´on se deben preservar las caracter´ısticas siguientes [1]. 1. Confidencialidad: s´oloel personal o equipos autorizados pueden acceder a la informaci´on. 2. Integridad: la informaci´on y sus m´etodos de proceso son exactos y completos. -
On Access Control Model of Linux Native Performance Monitoring Motivation
On access control model of Linux native performance monitoring Motivation • socialize Perf access control management to broader community • promote the management to security sensitive production environments • discover demand on extensions to the existing Perf access control model 2 Model overview • Subjects: processes • Access control: • superuser root • LSM hooks for MAC (e.g. SELinux) subjects • privileged user groups • Linux capabilities (DAC) • unprivileged users • perf_event_paranoid sysctl access and • Objects: telemetry data • Resource control: • tracepoints, OS events resource control • CPU time: sample rate & throttling • CPU • Memory: perf_events_mlock_kb sysctl • Uncore Objects • Other HW • File descriptors: ulimit -n (RLIMIT_NOFILE) system • Scope • Level user cgroups • process • user mode • cgroups • kernel kernel • system process • hypervisor hypervisor 3 Subjects Users • root, superuser: • euid = 0 and/or CAP_SYS_ADMIN • unprivileged users: • perf_event_paranoid sysctl • Perf privileged user group: -rwxr-x--- 2 root perf_users 11M Oct 19 15:12 perf # getcap perf perf = cap_perfmon,…=ep root unprivileged Perf users 4 Telemetry, scope, level Telemetr Objects: SW, HW telemetry data y Uncore • tracepoints, OS events, eBPF • CPUs events and related HW CPU • Uncore events (LLC, Interconnect, DRAM) SW events • Other (e.g. FPGA) process cgroup user Scope: Level: system kernel • process • user hypervisor • cgroups • kernel Scope Leve • system wide • hypervisor l 5 perf: interrupt took too long (3000 > 2000), lowering kernel.perf_event_max_sample_rate -
Kernel Runtime Security Instrumentation Process Is Executed
Kernel Runtime Security Instrumentation KP Singh Linux Plumbers Conference Motivation Security Signals Mitigation Audit SELinux, Apparmor (LSMs) Perf seccomp Correlation with It's bad, stop it! maliciousness but do not imply it Adding a new Signal Signals Mitigation Update Audit Audit (user/kernel) SELinux, Apparmor (LSMs) to log environment Perf variables seccomp Security Signals Mitigation Audit SELinux, Apparmor (LSMs) Perf seccomp Update the mitigation logic for a malicious actor with a known LD_PRELOAD signature Signals ● A process that executes and deletes its own executable. ● A Kernel module that loads and "hides" itself ● "Suspicious" environment variables. Mitigations ● Prevent mounting of USB drives on servers. ● Dynamic whitelist of known Kernel modules. ● Prevent known vulnerable binaries from running. How does it work? Why LSM? ● Mapping to security behaviours rather than the API. ● Easy to miss if instrumenting using syscalls (eg. execve, execveat) ● Benefit the LSM ecosystem by incorporating feedback from the security community. Run my code when a Kernel Runtime Security Instrumentation process is executed /sys/kernel/security/krsi/process_execution my_bpf_prog.o (bprm_check_security) bpf [BPF_PROG_LOAD] open [O_RDWR] securityfs_fd prog_fd bpf [BPF_PROG_ATTACH] LSM:bprm_check_security (when a process is executed) KRSI's Hook Other LSM Hooks Tying it all Together Reads events from the buffer and processes them Userspace further Daemon/Agent User Space Buffer Kernel Space eBPF programs output to a buffer process_execution -
Implementing SCADA Security Policies Via Security-Enhanced Linux
Implementing SCADA Security Policies via Security-Enhanced Linux Ryan Bradetich Schweitzer Engineering Laboratories, Inc. Paul Oman University of Idaho, Department of Computer Science Presented at the 10th Annual Western Power Delivery Automation Conference Spokane, Washington April 8–10, 2008 1 Implementing SCADA Security Policies via Security-Enhanced Linux Ryan Bradetich, Schweitzer Engineering Laboratories, Inc. Paul Oman, University of Idaho, Department of Computer Science Abstract—Substation networks have traditionally been and corporate IT networks are also fundamentally different. isolated from corporate information technology (IT) networks. SCADA protocols provide efficient, deterministic communi- Hence, the security of substation networks has depended heavily cations between devices [3] [4]. Corporate IT protocols upon limited access points and the use of point-to-point supervisory control and data acquisition (SCADA)-specific generally provide reliable communications over a shared protocols. With the introduction of Ethernet into substations, communications channel. pressure to reduce expenses and provide Internet services to Security-Enhanced Linux was initially developed by the customers has many utilities connecting their substation National Security Agency to introduce a mandatory access networks and corporate IT networks, despite the additional control (MAC) solution into the Linux® kernel [5]. The security risks. The Security-Enhanced Linux SCADA proxy was original proof-of-concept Security-Enhanced Linux SCADA introduced -
Linux Networking 101
The Gorilla ® Guide to… Linux Networking 101 Inside this Guide: • Discover how Linux continues its march toward world domination • Learn basic Linux administration tips • See how easy it can be to build your entire network on a Linux foundation • Find out how Cumulus Linux is your ticket to networking freedom David M. Davis ActualTech Media Helping You Navigate The Technology Jungle! In Partnership With www.actualtechmedia.com The Gorilla Guide To… Linux Networking 101 Author David M. Davis, ActualTech Media Editors Hilary Kirchner, Dream Write Creative, LLC Christina Guthrie, Guthrie Writing & Editorial, LLC Madison Emery, Cumulus Networks Layout and Design Scott D. Lowe, ActualTech Media Copyright © 2017 by ActualTech Media. All rights reserved. No portion of this book may be reproduced or used in any manner without the express written permission of the publisher except for the use of brief quotations. The information provided within this eBook is for general informational purposes only. While we try to keep the information up- to-date and correct, there are no representations or warranties, express or implied, about the completeness, accuracy, reliability, suitability or availability with respect to the information, products, services, or related graphics contained in this book for any purpose. Any use of this information is at your own risk. ActualTech Media Okatie Village Ste 103-157 Bluffton, SC 29909 www.actualtechmedia.com Entering the Jungle Introduction: Six Reasons You Need to Learn Linux ....................................................... 7 1. Linux is the future ........................................................................ 9 2. Linux is on everything .................................................................. 9 3. Linux is adaptable ....................................................................... 10 4. Linux has a strong community and ecosystem ........................... 10 5. -
Embedded Linux Conference Europe 2019
Embedded Linux Conference Europe 2019 Linux kernel debugging: going beyond printk messages Embedded Labworks By Sergio Prado. São Paulo, October 2019 ® Copyright Embedded Labworks 2004-2019. All rights reserved. Embedded Labworks ABOUT THIS DOCUMENT ✗ This document is available under Creative Commons BY- SA 4.0. https://creativecommons.org/licenses/by-sa/4.0/ ✗ The source code of this document is available at: https://e-labworks.com/talks/elce2019 Embedded Labworks $ WHOAMI ✗ Embedded software developer for more than 20 years. ✗ Principal Engineer of Embedded Labworks, a company specialized in the development of software projects and BSPs for embedded systems. https://e-labworks.com/en/ ✗ Active in the embedded systems community in Brazil, creator of the website Embarcados and blogger (Portuguese language). https://sergioprado.org ✗ Contributor of several open source projects, including Buildroot, Yocto Project and the Linux kernel. Embedded Labworks THIS TALK IS NOT ABOUT... ✗ printk and all related functions and features (pr_ and dev_ family of functions, dynamic debug, etc). ✗ Static analysis tools and fuzzing (sparse, smatch, coccinelle, coverity, trinity, syzkaller, syzbot, etc). ✗ User space debugging. ✗ This is also not a tutorial! We will talk about a lot of tools and techniches and have fun with some demos! Embedded Labworks DEBUGGING STEP-BY-STEP 1. Understand the problem. 2. Reproduce the problem. 3. Identify the source of the problem. 4. Fix the problem. 5. Fixed? If so, celebrate! If not, go back to step 1. Embedded Labworks TYPES OF PROBLEMS ✗ We can consider as the top 5 types of problems in software: ✗ Crash. ✗ Lockup. ✗ Logic/implementation error. ✗ Resource leak. ✗ Performance.