Initial commit

author: Ian Lewis <ianmlewis@gmail.com> 2019-03-29 22:40:11 -0400
committer: Ian Lewis <ianmlewis@gmail.com> 2019-03-29 22:40:11 -0400
commit: 22f1890a9beab11d8cfdceba3a4d66f8bbbb468c (patch)
tree: 110ec3a84a72560244ee4476852295b86a737eb0 /content/docs/architecture_guide
12 files changed, 432 insertions, 0 deletions
diff --git a/content/docs/architecture_guide/Layers.png b/content/docs/architecture_guide/Layers.png
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diff --git a/content/docs/architecture_guide/Layers.svg b/content/docs/architecture_guide/Layers.svg
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diff --git a/content/docs/architecture_guide/_index.md b/content/docs/architecture_guide/_index.md
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+title = "Architecture Guide"
+weight = 20
++++
+gVisor provides a fully-virtualized environment in order to sandbox untrusted
+containers. The system interfaces normally implemented by the host kernel are
+moved into a distinct, per-sandbox user space kernel in order to minimize the
+risk of an exploit.  gVisor does not introduce large fixed overheads however,
+and still retains a process-like model with respect to resource utilization.
+
+## How is this different?
+
+Two other approaches are commonly taken to provide stronger isolation than
+native containers.
+
+**Machine-level virtualization**, such as [KVM][kvm] and [Xen][xen], exposes
+virtualized hardware to a guest kernel via a Virtual Machine Monitor (VMM). This
+virtualized hardware is generally enlightened (paravirtualized) and additional
+mechanisms can be used to improve the visibility between the guest and host
+(e.g. balloon drivers, paravirtualized spinlocks). Running containers in
+distinct virtual machines can provide great isolation, compatibility and
+performance (though nested virtualization may bring challenges in this area),
+but for containers it often requires additional proxies and agents, and may
+require a larger resource footprint and slower start-up times.
+
+![Machine-level virtualization](Machine-Virtualization.png "Machine-level virtualization")
+
+**Rule-based execution**, such as [seccomp][seccomp], [SELinux][selinux] and
+[AppArmor][apparmor], allows the specification of a fine-grained security policy
+for an application or container. These schemes typically rely on hooks
+implemented inside the host kernel to enforce the rules. If the surface can be
+made small enough (i.e. a sufficiently complete policy defined), then this is an
+excellent way to sandbox applications and maintain native performance. However,
+in practice it can be extremely difficult (if not impossible) to reliably define
+a policy for arbitrary, previously unknown applications, making this approach
+challenging to apply universally.
+
+![Rule-based execution](Rule-Based-Execution.png "Rule-based execution")
+
+Rule-based execution is often combined with additional layers for
+defense-in-depth.
+
+**gVisor** provides a third isolation mechanism, distinct from those above.
+
+gVisor intercepts application system calls and acts as the guest kernel, without
+the need for translation through virtualized hardware. gVisor may be thought of
+as either a merged guest kernel and VMM, or as seccomp on steroids. This
+architecture allows it to provide a flexible resource footprint (i.e. one based
+on threads and memory mappings, not fixed guest physical resources) while also
+lowering the fixed costs of virtualization. However, this comes at the price of
+reduced application compatibility and higher per-system call overhead.
+
+![gVisor](Layers.png "gVisor")
+
+On top of this, gVisor employs rule-based execution to provide defense-in-depth
+(details below).
+
+gVisor's approach is similar to [User Mode Linux (UML)][uml], although UML
+virtualizes hardware internally and thus provides a fixed resource footprint.
+
+Each of the above approaches may excel in distinct scenarios. For example,
+machine-level virtualization will face challenges achieving high density, while
+gVisor may provide poor performance for system call heavy workloads.
+
+### Why Go?
+
+gVisor is written in [Go][golang] in order to avoid security pitfalls that can
+plague kernels. With Go, there are strong types, built-in bounds checks, no
+uninitialized variables, no use-after-free, no stack overflow, and a built-in
+race detector. (The use of Go has its challenges too, and isn't free.)
+
+[apparmor]: https://wiki.ubuntu.com/AppArmor
+[golang]: https://golang.org
+[kvm]: https://www.linux-kvm.org
+[oci]: https://www.opencontainers.org
+[sandbox]: https://en.wikipedia.org/wiki/Sandbox_(computer_security)
+[seccomp]: https://www.kernel.org/doc/Documentation/prctl/seccomp_filter.txt
+[selinux]: https://selinuxproject.org
+[uml]: http://user-mode-linux.sourceforge.net/
+[xen]: https://www.xenproject.org
diff --git a/content/docs/architecture_guide/overview.md b/content/docs/architecture_guide/overview.md
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+title = "Overview & Platforms"
+weight = 10
++++
+gVisor sandbox consists of multiple processes when running. These sandboxes
+collectively comprise a shared environment in which one or more containers can
+be run.
+
+Each sandbox has its own isolated instance of:
+
+* The **Sentry**, A user-space kernel that runs the container and intercepts
+  and responds to system calls made by the application.
+
+Each container running in the sandbox has its own isolated instance of:
+
+* A **Gofer** which provides file system access to the container.
+
+![gVisor architecture diagram](../Sentry-Gofer.png "gVisor architecture diagram")
+
+## runsc
+
+The entrypoint to running a sandboxed container is the `runsc` executable.
+`runsc` implements the [Open Container Initiative (OCI)][oci] runtime
+specification. This means that OCI compatible _filesystem bundles_ can be run by
+`runsc`.  Filesystem bundles are comprised of a `config.json` file containing
+container configuration, and a root filesystem for the container.  Please see
+the [OCI runtime spec][runtime-spec] for more information on filesystem bundles.
+`runsc` implements multiple commands that perform various functions such as
+starting, stopping, listing, and querying the status of containers.
+
+## The Sentry
+
+The Sentry is the largest component of gVisor. It can be thought of as a
+userspace OS kernel. The Sentry implements all the kernel functionality needed
+by the untrusted application. It implements all of the supported system calls,
+signal delivery, memory management and page faulting logic, the threading
+model, and more.
+
+When the untrusted application makes a system call, the currently used platform
+redirects to the Sentry, which will do the necessary work to service the system
+call. It is important to note that the Sentry will not simply pass through
+system calls to the host kernel. As a userspace application, the Sentry will
+make some host system calls to support its operation, but it will not allow the
+application to directly control the system calls it makes.
+
+The Sentry aims to present an equivalent environment to (upstream) Linux v4.4.
+
+I/O operations that extend beyond the sandbox (not internal /proc files, pipes,
+etc) are sent to the Gofer, described below.
+
+## Platforms
+
+gVisor requires a platform to implement interruption of syscalls, basic context
+switching, and memory mapping functionality.
+
+### ptrace
+
+The ptrace platform uses `PTRACE_SYSEMU` to execute user code without executing
+host system calls. This platform can run anywhere that ptrace works (even VMs
+without nested virtualization).
+
+### KVM (experimental)
+
+The KVM platform allows the Sentry to act as both guest OS and VMM, switching
+back and forth between the two worlds seamlessly. The KVM platform can run on
+bare-metal or on a VM with nested virtualization enabled. While there is no
+virtualized hardware layer -- the sandbox retains a process model -- gVisor
+leverages virtualization extensions available on modern processors in order to
+improve isolation and performance of address space switches.
+
+## Gofer
+
+The Gofer is a normal host Linux process. The Gofer is started with each sandbox
+and connected to the Sentry. The Sentry process is started in a restricted
+seccomp container without access to file system resources. The Gofer provides
+access to file system resources to the Sentry via the 9P protocol and provides
+an additional level of isolation.
+
+## Application
+
+The application (aka, the untrusted application) is a normal Linux binary
+provided to gVisor in an OCI runtime bundle. gVisor aims to provide an
+environment equivalent to Linux v4.4, so applications should be able to run
+unmodified. However, gVisor does not presently implement every system call,
+/proc file, or /sys file so some incompatibilities may occur.
+
+[oci]: https://www.opencontainers.org
+[runtime-spec]: https://github.com/opencontainers/runtime-spec
diff --git a/content/docs/architecture_guide/performance.md b/content/docs/architecture_guide/performance.md
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+title = "Performance"
+weight = 30
++++
+gVisor is designed to provide a secure, virtualized environment while preserving
+key benefits of containerization such as small fixed overheads and a dynamic
+resource footprint. For containerized infrastructure, this can provide an “easy
+button” for sandboxing untrusted workloads: there are no changes to the
+fundamental resource model.
+
+However, there are clear trade-offs in this approach. gVisor does not fully
+implement the system call surface provided by an upstream Linux kernel. We are
+always working to improve this support, and current limitations are described
+[Compatibility](../../user_guide/compatibility).
+
+gVisor also imposes runtime costs over native containers. These costs come in
+two forms: additional cycles and memory usage, and they come from two different
+sources. First, the existence of the Sentry itself means that additional memory
+will be required, and application system calls generally traverse additional
+layers. We place an emphasis on [Security](../security/) and therefore chose to
+use a language for the Sentry that provides lots of benefits in this domain, but
+may not offer the raw performance of other choices. Costs imposed by this design
+are structural costs.
+
+Second, as gVisor is a fresh implementation of the system call surface, many of
+the subsystems or specific calls are not as optimized as more mature
+implementations. A good example here is the network stack, which is continuing
+to evolve but does not support all the advanced recovery mechanisms offered by
+other stacks and is less CPU efficient. This an implementation cost and should
+not be confused with structural costs. Improvements here are ongoing and largely
+driven by the workloads that matter to gVisor contributors and users.
+
+## Structural Costs
+
+The structural costs of gVisor are heavily influenced by the platform choice,
+which implements system call interception. Today, gVisor supports a variety of
+platforms. These platforms present distinct performance, compatibility and
+security trade-offs. For example, the KVM platform low overhead system call
+interception but runs poorly with nested virtualization.
diff --git a/content/docs/architecture_guide/security.md b/content/docs/architecture_guide/security.md
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++++
+title = "Security Model"
+weight = 20
++++
+gVisor was created in order to provide additional defense against the
+exploitation of kernel bugs when running untrusted code. In order to understand
+how gVisor achieves this goal, it is first necessary to understand the basic
+threat model.
+
+## Threats: the Anatomy of an Exploit
+
+An exploit takes advantage of a software or hardware bug in order to escalate
+privileges, gain access to privileged data, or disrupt services. All of the
+possible interactions that a malicious application can have with the rest of the
+system (attack vectors) define the attack surface. We categorize these attack
+vectors into several common classes.
+
+### System API
+
+An operating system or hypervisor exposes an abstract System API in the form of
+system calls and traps. This API may be documented and stable, as with Linux, or
+it may be hidden behind a library, as with Windows (i.e. win32.dll or
+ntdll.dll). The System API includes all standard interfaces that application
+code uses to interact with the system. This includes high-level abstractions
+that are derived from low-level system calls, such as system files, sockets and
+namespaces.
+
+Although the System API is exposed to applications by design, bugs and race
+conditions within the kernel or hypervisor may occasionally be exploitable via
+the API. A typical exploit might perform some combination of the following:
+
+ 1. Opening or creating some combination of files, sockets or other descriptors.
+ 1. Passing crafted, malicious arguments, structures or packets.
+ 1. Racing with multiple threads in order to hit specific code paths.
+
+For example, for the “Dirty Cow” privilege escalation bug (CVE-2016-5195), an
+application would open a specific file in proc or use a specific ptrace system
+call, and use multiple threads in order to trigger a race condition when
+touching a fresh page of memory. The attacker then gains control over a page of
+memory belonging to the system. With additional privileges or access to
+privileged data in the kernel, an attacker will often be able to employ
+additional techniques to gain full access to the rest of the system.
+
+While bugs in the implementation of the System API are readily fixed, they are
+also the most common form of exploit. The exposure created by this class of
+exploit is what gVisor aims to minimize and control, described in detail below.
+
+### System ABI
+
+Hardware and software exploits occasionally exist in execution paths that are
+not part of an intended System API. In this case, exploits may be found as part
+of implicit actions the hardware or privileged system code takes in response to
+certain events, such as traps or interrupts. For example, the recent “POPSS”
+flaw (CVE-2018-8897) required only native code execution (no specific system
+call or file access). In that case, the Xen hypervisor was similarly vulnerable,
+highlighting that hypervisors are not immune to this vector.
+
+### Side Channels
+
+Hardware side channels may be exploitable by any code running on a system:
+native, sandboxed, or virtualized. However, many host-level mitigations against
+hardware side channels are still effective with a sandbox. For example, kernels
+built with retpoline protect against some speculative execution attacks
+(Spectre) and frame poisoning may protect against L1 terminal fault (L1TF)
+attacks. Hypervisors may introduce additional complications in this regard, as
+there is no mitigation against an application in a normally functioning Virtual
+Machine (VM) exploiting the L1TF vulnerability for another VM on the sibling
+hyperthread.
+
+### What’s missing?
+
+These categories in no way represent an exhaustive list of exploits, as we focus
+only on running untrusted code from within the operating system or hypervisor.
+We do not consider the many other ways that a more generic adversary may
+interact with a system, such as inserting a portable storage device with a
+malicious filesystem image, using a combination of crafted keyboard or touch
+inputs, or saturating a network device with ill-formed ICMP packets.
+
+Furthermore, high-level systems may contain exploitable components. An attacker
+need not escalate privileges within a container if there’s an exploitable
+network-accessible service on the host or some other API path. A sandbox is not
+a substitute for a secure architecture.
+
+## Goals: Limiting Exposure
+
+gVisor’s primary design goal is to minimize the System API attack vector while
+still providing a process model. There are two primary security principles that
+inform this design. First, the application’s direct interactions with the host
+System API are intercepted by the Sentry, which implements the System API
+instead. Second, the System API accessible to the Sentry itself is minimized to
+a safer, restricted set. The first principle minimizes the possibility of direct
+exploitation of the host System API by applications, and the second principle
+minimizes indirect exploitability, which is the exploitation by an exploited or
+buggy Sentry (e.g. chaining an exploit).
+
+The first principle is similar to the security basis for a Virtual Machine (VM).
+With a VM, an application’s interactions with the host are replaced by
+interactions with a guest operating system and a set of virtualized hardware
+devices. These hardware devices are then implemented via the host System API by
+a Virtual Machine Monitor (VMM). For both the Sentry and a VMM, it’s worth
+noting that while direct interactions are minimized, indirect interactions are
+still possible. For example, a read on a host-backed file in the Sentry with
+ultimately result in a host read system call (made by the Sentry, not by passing
+through arguments from the application), similarly to how a read on a block
+device in a VMM will often result in a host read system call from the backing
+file. The same applies for a write on a socket, on a write on a tap device.
+
+The key difference here is that the Sentry implements a second System API
+directly instead of relying on virtualized hardware and a guest operating
+system. This selects a distinct set of trade-offs, largely in the performance
+and compatibility domains. Since sandbox transitions of the nature described
+above are generally expensive, a guest operating system will typically take
+ownership of resources. For example, in the above case, the guest operating
+system may read the block device data in a local page cache, to avoid subsequent
+reads. This may lead to better performance but lower efficiency, since memory
+may be wasted or duplicated. The Sentry opts instead to defer to the host for
+many operations during runtime, for improved efficiency but lower performance in
+some use cases.
+
+gVisor relies on the host operating system and the platform for defense against
+hardware-based attacks. Given the nature of these vulnerabilities, there is
+little defense that gVisor can provide (there’s no guarantee that additional
+hardware measures, such as virtualization, memory encryption, etc. would
+actually decrease the attack surface). Note that this is true even when using
+hardware virtualization for acceleration, as the host kernel or hypervisor is
+ultimately responsible for defending against attacks from within malicious
+guests.
+
+### What can a sandbox do?
+
+We allow a sandbox to do the following.
+
+ 1. Communicate with a Gofer process via a connected socket. The sandbox may
+    receive new file descriptors from the Gofer process, corresponding to opened
+    files.
+ 1. Make a minimal set of host system calls. The calls do not include the
+    creation of new sockets (unless host networking mode is enabled) or opening
+    files. The calls include duplication and closing of file descriptors,
+    synchronization, timers and signal management.
+ 1. Read and write packets to a virtual ethernet device. This is not required if
+    not host networking is enabled.
+
+## Principles: Defense-in-Depth
+
+For gVisor development, there are several engineering principles that are
+employed in order to ensure that the system meets its design goals.
+
+ 1. No system call is passed through directly to the host. Every supported call
+    has a distinct implementation in the Sentry, that is unlikely to suffer from
+    identical vulnerabilities that may appear in the host. This has the
+    consequence that all kernel features used by applications require an
+    implementation within the Sentry.
+ 1. Only common, universal functionality is implemented. Some filesystems,
+    network devices or modules may expose specialized functionality to user
+    space applications via mechanisms such as extended attributes, raw sockets
+    or ioctls. Since the Sentry is responsible for implementing the full system
+    call surface, we do not implement or pass through these specialized APIs.
+ 1. The host surface exposed to the Sentry is minimized. While the system call
+    surface is not trivial, it is explicitly enumerated and controlled. The
+    Sentry is not permitted to open new files, create new sockets or do many
+    other interesting things on the host.
+
+Additionally, we have practical restrictions that are imposed on the project to
+minimize the risk of Sentry exploitability. For example:
+
+ 1. Unsafe code is carefully controlled. All unsafe code is isolated in files
+    that end with “_unsafe.go”, in order to facilitate validation and auditing.
+    No file without the unsafe suffix may import the unsafe package.
+ 1. No CGo is allowed. The Sentry must be a pure Go binary.
+ 1. External imports are not generally allowed within the core packages. Only
+    limited external imports are used within the setup code. The code available
+    inside the Sentry is carefully controlled, to ensure that the above rules
+    are effective.
+
+Finally, we recognize that security is a process, and that vigilance is
+critical. Beyond our security disclosure process, the Sentry is fuzzed
+continuously to identify potential bugs and races proactively, and production
+crashes are recorded and triaged to similarly identify material issues.
+
+## FAQ
+
+### Is this more or less secure than a Virtual Machine?
+
+The security of a VM depends to a large extent on what is exposed from the host
+kernel and user space support code. For example, device emulation code in the
+host kernel (e.g. APIC) or optimizations (e.g. vhost) can be more complex than a
+simple system call, and exploits carry the same risks. Similarly, the user space
+support code is frequently unsandboxed and exploits, while rare, may allowed
+unfettered access to the system.
+
+Some platforms leverage the same virtualization hardware as VMs in order to
+provide better system call interception performance. However, gVisor does not
+implement any device emulation, and instead opts to use a sandboxed host System
+API directly. Both approaches significantly reduce the original attack surface.
+Ultimately, since gVisor uses the same hardware mechanism, one should not assume
+that the mere use of virtualization hardware makes a system more or less secure,
+just as it would be a mistake to make the claim that the use of an engine makes
+a car safe.
+
+### Does this stop hardware side channels?
+
+In general, gVisor does not provide protection against hardware side channels,
+although it may make exploits that rely on direct access to the host System API
+more difficult to use. To minimize exposure, you should follow relevant guidance
+from vendors and keep your host kernel and firmware up-to-date.
+
+### Is this just a ptrace sandbox?
+
+No: the term “ptrace sandbox” generally refers to software that uses ptrace in
+order to inspect and authorize system calls made by applications, enforcing a
+specific policy. These commonly suffer from two issues. First, vulnerable system
+calls may be authorized by the sandbox, as the application still has direct
+access to some System API. Second, it’s impossible to avoid time-of-check,
+time-of-use race conditions without disabling multi-threading.
+
+In gVisor, the platforms that use ptrace operate differently. The stubs that are
+traced are never allowed to continue execution into the host kernel and complete
+a call directly. Instead, all system calls are interpreted and handled by the
+Sentry itself, who reflects resulting register state back into the tracee before
+continuing execution in user space. This is very similar to the mechanism used
+by User-Mode Linux (UML).
author	Ian Lewis <ianmlewis@gmail.com>	2019-03-29 22:40:11 -0400
committer	Ian Lewis <ianmlewis@gmail.com>	2019-03-29 22:40:11 -0400
commit	22f1890a9beab11d8cfdceba3a4d66f8bbbb468c (patch)
tree	110ec3a84a72560244ee4476852295b86a737eb0 /content/docs/architecture_guide