Intra-Unikernel Isolation with Intel Memory Protection Keys
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Deciding Memory Safety for Single-Pass Heap-Manipulating Programs
Deciding Memory Safety for Single-Pass Heap-Manipulating Programs UMANG MATHUR, University of Illinois, Urbana-Champaign, USA ADITHYA MURALI, University of Illinois, Urbana-Champaign, USA PAUL KROGMEIER, University of Illinois, Urbana-Champaign, USA P. MADHUSUDAN, University of Illinois, Urbana-Champaign, USA MAHESH VISWANATHAN, University of Illinois, Urbana-Champaign, USA We investigate the decidability of automatic program verification for programs that manipulate heaps, andin particular, decision procedures for proving memory safety for them. We extend recent work that identified a decidable subclass of uninterpreted programs to a class of alias-aware programs that can update maps. We 35 apply this theory to develop verification algorithms for memory safetyÐ determining if a heap-manipulating program that allocates and frees memory locations and manipulates heap pointers does not dereference an unallocated memory location. We show that this problem is decidable when the initial allocated heap forms a forest data-structure and when programs are streaming-coherent, which intuitively restricts programs to make a single pass over a data-structure. Our experimental evaluation on a set of library routines that manipulate forest data-structures shows that common single-pass algorithms on data-structures often fall in the decidable class, and that our decision procedure is efficient in verifying them. CCS Concepts: • Theory of computation → Logic and verification; Automated reasoning. Additional Key Words and Phrases: Memory Safety, Program Verification, Aliasing, Decidability, Uninterpreted Programs, Streaming-Coherence, Forest Data-Structures ACM Reference Format: Umang Mathur, Adithya Murali, Paul Krogmeier, P. Madhusudan, and Mahesh Viswanathan. 2020. Deciding Memory Safety for Single-Pass Heap-Manipulating Programs. Proc. ACM Program. -
A Linux in Unikernel Clothing Lupine
A Linux in Unikernel Clothing Hsuan-Chi Kuo+, Dan Williams*, Ricardo Koller* and Sibin Mohan+ +University of Illinois at Urbana-Champaign *IBM Research Lupine Unikernels are great BUT: Unikernels lack full Linux Support App ● Hermitux: supports only 97 system calls Kernel LibOS + App ● OSv: ○ Fork() , execve() are not supported Hypervisor Hypervisor ○ Special files are not supported such as /proc ○ Signal mechanism is not complete ● Small kernel size ● Rumprun: only 37 curated applications ● Heavy ● Fast boot time ● Community is too small to keep it rolling ● Inefficient ● Improved performance ● Better security 2 Can Linux behave like a unikernel? 3 Lupine Linux 4 Lupine Linux ● Kernel mode Linux (KML) ○ Enables normal user process to run in kernel mode ○ Processes can still use system services such as paging and scheduling ○ App calls kernel routines directly without privilege transition costs ● Minimal patch to libc ○ Replace syscall instruction to call ○ The address of the called function is exported by the patched KML kernel using the vsyscall ○ No application changes/recompilation required 5 Boot time Evaluation Metrics Image size Based on: Unikernel benefits Memory footprint Application performance Syscall overhead 6 Configuration diversity ● 20 top apps on Docker hub (83% of all downloads) ● Only 19 configuration options required to run all 20 applications: lupine-general 7 Evaluation - Comparison configurations Lupine Cloud Operating Systems [Lupine-base + app-specific options] OSv general Linux-based Unikernels Kernel for 20 apps -
“Sok: Eternal War in Memory”
“SoK: Eternal War in Memory” Presented by Mengjia Yan MIT 6.888 Fall 2020 Overview • Discuss the paper “SoK: Eternal War in Memory” with concrete examples • Recent progress on memory safety • With a focus on hardware/architecture 2 Motivation • C/C++ is unsafe • EveryboDy runs C/C++ coDe • They surely have exploitable vulnerabilities 3 Low-level Language Basics (C/C++/Assembly) 0x00..0000 • Programmers have more control + Efficient OS memory - Bugs - Programming productivity TEXT (code) Global/Static • Pointers DATA • Address of variables (uint64): index of memory location where variable is stored Heap • Programmers need to do pointer check, e.g. NULL, out-of-bound, use-after-free Stack 0xFF..FFFF 4 Low-level Language Basics 0x00..0000 TEXT (code) Heap Stack 0xFF..FFFF 5 Low-level Language Basics TEXT (code) stack 6 Attacks Code Injection Attack Example TEXT (code) int func (char *str) { Shell code: char buffer[12]; strncpy(buffer, str, len(str)); PUSH “/bin/sh” CALL system stack return 1; } int main() { …. func (input); … } 8 Code Injection Attack TEXT (code) TEXT (code) stack stack buffer Shell code … … Return addr Return addr 9 Attacks 10 Return-Oriented Programming (ROP) int func (char *str) { TEXT (code) TEXT (code) char buffer[12]; strncpy(buffer, str, len(str)); stack stack return 1; } …. int main() { buffer …. … … func (input); Return addr Return addr … } 11 Attacks 12 HeartBleed Vulnerability • Publicly DiscloseD in April 2014 • Bug in the OpenSSL cryptographic software library heartbeat extension • Missing a bound check 13 Attacks -
Unikernel Monitors: Extending Minimalism Outside of the Box
Unikernel Monitors: Extending Minimalism Outside of the Box Dan Williams Ricardo Koller IBM T.J. Watson Research Center Abstract Recently, unikernels have emerged as an exploration of minimalist software stacks to improve the security of ap- plications in the cloud. In this paper, we propose ex- tending the notion of minimalism beyond an individual virtual machine to include the underlying monitor and the interface it exposes. We propose unikernel monitors. Each unikernel is bundled with a tiny, specialized mon- itor that only contains what the unikernel needs both in terms of interface and implementation. Unikernel mon- itors improve isolation through minimal interfaces, re- Figure 1: The unit of execution in the cloud as (a) a duce complexity, and boot unikernels quickly. Our ini- unikernel, built from only what it needs, running on a tial prototype, ukvm, is less than 5% the code size of a VM abstraction; or (b) a unikernel running on a spe- traditional monitor, and boots MirageOS unikernels in as cialized unikernel monitor implementing only what the little as 10ms (8× faster than a traditional monitor). unikernel needs. 1 Introduction the application (unikernel) and the rest of the system, as defined by the virtual hardware abstraction, minimal? Minimal software stacks are changing the way we think Can application dependencies be tracked through the in- about assembling applications for the cloud. A minimal terface and even define a minimal virtual machine mon- amount of software implies a reduced attack surface and itor (or in this case a unikernel monitor) for the applica- a better understanding of the system, leading to increased tion, thus producing a maximally isolated, minimal exe- security. -
MPTEE: Bringing Flexible and Efficient Memory Protection to Intel
MPTEE: Bringing Flexible and Efficient Memory Protection to Intel SGX Wenjia Zhao Kangjie Lu* Yong Qi* Saiyu Qi Xi’an Jiaotong University University of Minnesota Xi’an Jiaotong University Xidian University University of Minnesota Abstract code, emerge in today’s market. In particular, Intel has pro- Intel Software Guard eXtensions (SGX), a hardware-based vided SGX in its commodity processors, which supports a se- Trusted Execution Environment (TEE), has become a promis- cure region, namely enclave, to protect the internally loaded ing solution to stopping critical threats such as insider attacks code and data. Given its important and practical protection, and remote exploits. SGX has recently drawn extensive re- SGX has been extensively studied and used in practice. For search in two directions—using it to protect the confidentiality example, SCONE [1] uses it to effectively enhance the secu- and integrity of sensitive data, and protecting itself from at- rity of containers with low overhead. JITGuard [17] leverages tacks. Both the applications and defense mechanisms of SGX it to protect the security-critical just-in-time compiler oper- have a fundamental need—flexible memory protection that ations. SGXCrypter[49] utilizes it to securely unpack and updates memory-page permissions dynamically and enforces execute Windows binaries. There are many other useful appli- the least-privilege principle. Unfortunately, SGX does not pro- cations [35], [34], [31],[6], which confirm the practical and vide such a memory-protection mechanism due to the lack of promising applications of SGX. hardware support and the untrustedness of operating systems. Another line of research is to protect SGX itself from at- This paper proposes MPTEE, a memory-protection mech- tacks. -
Intel® Xeon® E3-1200 V5 Processor Family
Intel® Xeon® E3-1200 v5 Processor Family Specification Update May 2020 Revision 033 Reference Number: 333133-033US Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Learn more at Intel.com, or from the OEM or retailer. No computer system can be absolutely secure. Intel does not assume any liability for lost or stolen data or systems or any damages resulting from such losses. You may not use or facilitate the use of this document in connection with any infringement or other legal analysis concerning Intel products described herein. You agree to grant Intel a non-exclusive, royalty-free license to any patent claim thereafter drafted which includes subject matter disclosed herein. No license (express or implied, by estoppel or otherwise) to any intellectual property rights is granted by this document. The products described may contain design defects or errors known as errata which may cause the product to deviate from published specifications. Current characterized errata are available on request. Intel disclaims all express and implied warranties, including without limitation, the implied warranties of merchantability, fitness for a particular purpose, and non-infringement, as well as any warranty arising from course of performance, course of dealing, or usage in trade. Intel® Turbo Boost Technology requires a PC with a processor with Intel Turbo Boost Technology capability. Intel Turbo Boost Technology performance varies depending on hardware, software and overall system configuration. Check with your PC manufacturer on whether your system delivers Intel Turbo Boost Technology. For more information, see http://www.intel.com/ content/www/us/en/architecture-and-technology/turbo-boost/turbo-boost-technology.html Copies of documents which have an order number and are referenced in this document may be obtained by calling 1-800-548- 4725 or by visiting www.intel.com/design/literature.htm. -
Sok: Hardware Security Support for Trustworthy Execution
SoK: Hardware Security Support for Trustworthy Execution Lianying Zhao1, He Shuang2, Shengjie Xu2, Wei Huang2, Rongzhen Cui2, Pushkar Bettadpur2, and David Lie2 1Carleton Universityz, Ottawa, ON, Canada 2University of Toronto, Toronto, ON, Canada Abstract—In recent years, there have emerged many new hard- contribute to lowering power consumption, which is critical ware mechanisms for improving the security of our computer for resource-constrained devices. systems. Hardware offers many advantages over pure software Furthermore, hardware is the Root of Trust (RoT) [48], as approaches: immutability of mechanisms to software attacks, better execution and power efficiency and a smaller interface it bridges the physical world (where human users reside) and allowing it to better maintain secrets. This has given birth to the digital world (where tasks run as software). To securely a plethora of hardware mechanisms providing trusted execution perform a task or store a secret, the user trusts at least part of environments (TEEs), support for integrity checking and memory the computer hardware. safety and widespread uses of hardware roots of trust. Dedicated hardware security support has seen its prolif- In this paper, we systematize these approaches through the lens eration since the early days of computers. It can take a of abstraction. Abstraction is key to computing systems, and the interface between hardware and software contains many abstrac- straightforward form as discrete components to assist the tions. We find that these abstractions, when poorly designed, can CPU, ranging from the industrial-grade tamper-responding both obscure information that is needed for security enforcement, IBM Cryptocards (e.g., 4758 [37]), Apple’s proprietary secure as well as reveal information that needs to be kept secret, leading enclave processor (SEP [84]) for consumer electronics, to the to vulnerabilities. -
Operating System Support for Run-Time Security with a Trusted Execution Environment
Operating System Support for Run-Time Security with a Trusted Execution Environment - Usage Control and Trusted Storage for Linux-based Systems - by Javier Gonz´alez Ph.D Thesis IT University of Copenhagen Advisor: Philippe Bonnet Submitted: January 31, 2015 Contents Preface2 1 Introduction4 1.1 Context.......................................4 1.2 Problem.......................................6 1.3 Approach......................................7 1.4 Contribution....................................9 1.5 Thesis Structure.................................. 10 I State of the Art 12 2 Trusted Execution Environments 14 2.1 Smart Cards.................................... 15 2.1.1 Secure Element............................... 17 2.2 Trusted Platform Module (TPM)......................... 17 2.3 Intel Security Extensions.............................. 20 2.3.1 Intel TXT.................................. 20 2.3.2 Intel SGX.................................. 21 2.4 ARM TrustZone.................................. 23 2.5 Other Techniques.................................. 26 2.5.1 Hardware Replication........................... 26 2.5.2 Hardware Virtualization.......................... 27 2.5.3 Only Software............................... 27 2.6 Discussion...................................... 27 3 Run-Time Security 30 3.1 Access and Usage Control............................. 30 3.2 Data Protection................................... 33 3.3 Reference Monitors................................. 36 3.3.1 Policy Enforcement............................. 36 3.3.2 -
Assessing Unikernel Security April 2, 2019 – Version 1.0
NCC Group Whitepaper Assessing Unikernel Security April 2, 2019 – Version 1.0 Prepared by Spencer Michaels Jeff Dileo Abstract Unikernels are small, specialized, single-address-space machine images constructed by treating component applications and drivers like libraries and compiling them, along with a kernel and a thin OS layer, into a single binary blob. Proponents of unikernels claim that their smaller codebase and lack of excess services make them more efficient and secure than full-OS virtual machines and containers. We surveyed two major unikernels, Rumprun and IncludeOS, and found that this was decidedly not the case: unikernels, which in many ways resemble embedded systems, appear to have a similarly minimal level of security. Features like ASLR, W^X, stack canaries, heap integrity checks and more are either completely absent or seriously flawed. If an application running on such a system contains a memory corruption vulnerability, it is often possible for attackers to gain code execution, even in cases where the applica- tion’s source and binary are unknown. Furthermore, because the application and the kernel run together as a single process, an attacker who compromises a unikernel can immediately exploit functionality that would require privilege escalation on a regular OS, e.g. arbitrary packet I/O. We demonstrate such attacks on both Rumprun and IncludeOS unikernels, and recommend measures to mitigate them. Table of Contents 1 Introduction to Unikernels . 4 2 Threat Model Considerations . 5 2.1 Unikernel Capabilities ................................................................ 5 2.2 Unikernels Versus Containers .......................................................... 5 3 Hypothesis . 6 4 Testing Methodology . 7 4.1 ASLR ................................................................................ 7 4.2 Page Protections .................................................................... -
“A Linux in Unikernel Clothing”
Lupine Linux “A Linux in Unikernel Clothing” Dan Williams (IBM) With Hsuan-Chi (Austin) Kuo (UIUC + IBM), Ricardo Koller (IBM), Sibin Mohan (UIUC) Roadmap • Context • Containers and isolation • Unikernels • Nabla containers • Lupine Linux • A linux in unikernel clothing • Concluding thoughts 2 Containers are great! • Have changed how applications are packaged, deployed and developed • Normal processes, but “contained” • Namespaces, cgroups, chroot • Lightweight • Start quickly, “bare metal” • Easy image management (layered fs) • Tooling/orchestration ecosystem 3 But… High level of • Large attack surface to the host abstraction (e.g., system • Limits adoption of container-first architecture calls) app • Fortunately, we know how to reduce attack surface! Host Kernel with namespacing (e.g., Linux) Containers 4 Deprivileging and unsharing kernel functionality Low level of High level of • Virtual machines (VMs) abstraction abstraction • Guest kernel (e.g., virtual (e.g., system app hardware) calls) • Thin interface Guest Kernel app (e.g., Linux) Monitor Process (e.g., QEMU) Host Kernel with Host Kernel/Hypervisor namespacing (e.g., Linux/KVM) (e.g., Linux) VMs Containers 5 Deprivileging and unsharing kernel functionality Low level of High level of • Virtual machines (VMs) abstraction abstraction • Guest kernel (e.g., virtual (e.g., system app hardware) calls) • Thin interface • Userspace kernel Guest Kernel app • Performance issues (e.g., Linux) Monitor Process (e.g., QEMU) Host Kernel with Host Kernel/Hypervisor namespacing (e.g., Linux/KVM) -
Jails and Unikernels
Virtualisation: Jails and Unikernels Advanced Operating Systems Lecture 18 Colin Perkins | https://csperkins.org/ | Copyright © 2017 | This work is licensed under the Creative Commons Attribution-NoDerivatives 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nd/4.0/ or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA. Lecture Outline • Alternatives to full virtualisation • Sandboxing processes: • FreeBSD jails and Linux containers • Container management • Unikernels and library operating systems Colin Perkins | https://csperkins.org/ | Copyright © 2017 2 Alternatives to Full Virtualisation • Full operating system virtualisation is expensive • Need to run a hypervisor • Need to run a complete guest operating system instance for each VM • High memory and storage overhead, high CPU load from running multiple OS instances on a single machine – but excellent isolation between VMs • Running multiple services on a single OS instance can offer insufficient isolation • All must share the same OS • A bug in a privileged service can easily compromise entire system – all services running on the host, and any unrelated data • A sandbox is desirable – to isolate multiple services running on a single operating system Colin Perkins | https://csperkins.org/ | Copyright © 2017 3 Sandboxing: Jails and Containers • Concept – lightweight virtualisation • A single operating system kernel • Multiple services /bin • Each service runs within a jail a service specific container, running just what’s needed /bin /dev for that application /dev /etc /etc /mail /home /home /jail /www /lib • Jail restricted to see only a subset of the / /lib /local /usr filesystem and processes of the host /usr /lib /sbin • A sandbox within the operating system /sbin /sbin /tmp /tmp /share /var • Partially virtualised /var Colin Perkins | https://csperkins.org/ | Copyright © 2017 4 Example: FreeBSD Jail subsystem Jails: Confining the omnipotent root. -
ERIM: Secure, Efficient In-Process Isolation with Protection Keys (MPK)
ERIM: Secure, Efficient In-process Isolation with Protection Keys (MPK) AnjoVahldiek-Oberwagner EslamElnikety NunoO.Duarte Michael Sammler Peter Druschel Deepak Garg Max Planck Institute for Software Systems (MPI-SWS), Saarland Informatics Campus Abstract prevent control-flow hijacks [30], which could circumvent Isolating sensitive state and data can increase the security the bounds checks. On x86-64, pointer masking-based SFI and robustness of many applications. Examples include pro- techniques like Native Client [42] incur overheads of up to tecting cryptographic keys against exploits like OpenSSL’s 42% on the execution of untrusted code [30]. Even with Heartbleed bug or protecting a language runtime from na- hardware-supported bounds checks, like those supported by tive libraries written in unsafe languages. When runtime the IntelMPX ISA extension[26], the overheadis up to 30%, references across isolation boundaries occur relatively in- as shown in by Koning et al. [30] and later in Section 6.5. frequently, then conventional page-based hardware isola- Another approach is to use hardware page protection for tion can be used, because the cost of kernel- or hypervisor- memory isolation [9, 10, 13, 32, 33, 34]. Here, access checks mediated domain switching is tolerable. However, some are performed in hardware as part of the address translation applications, such as the isolation of cryptographic session with no additional overhead on execution within a compo- keys in network-facing services, require very frequent do- nent. However, transferring control between components main switching. In such applications, the overheadof kernel- requires a switch to kernel or hypervisor mode in order to or hypervisor-mediated domain switching is prohibitive.