CPU hardware implementations are vulnerable to side-channel attacks referred to as Meltdown and Spectre. Both Spectre and Meltdown take advantage of the ability to extract information from instructions that have executed on a CPU using the CPU cache as a side-channel. These attacks are described in detail by Google Project Zero, the Institute of Applied Information Processing and Communications (IAIK) at Graz University of Technology (TU Graz) and Anders Fogh. The issues are organized into three variants:
* Variant 1 (CVE-2017-5753, [Spectre](<https://spectreattack.com/spectre.pdf>)): Bounds check bypass * Variant 2 (CVE-2017-5715, also [Spectre](<https://spectreattack.com/spectre.pdf>)): Branch target injection(<https://spectreattack.com/spectre.pdf>) * Variant 3 (CVE-2017-5754, [Meltdown](<https://meltdownattack.com/meltdown.pdf>)): Rogue data cache load, memory access permission check performed after kernel memory read
Spectre attacks take advantage of a CPU's branch prediction capabilities. Modern CPUs include a feature called branch prediction, which speculatively executes instructions at a location that the CPU believes it will branch to. Such speculative execution helps to more fully utilize the parts of the CPU, minimizing the time waiting, and therefore improving performance. When a branch is successfully predicted, instructions will retire, which means the outcomes of the instructions such as register and memory writes will be committed. If a branch is mispredicted, the speculatively-executed instructions will be discarded, and the direct side-effects of the instructions are undone. What is not undone are the indirect side-effects, such as CPU cache changes. By measuring latency of memory access operations, the cache can be used to extract values from speculatively-executed instructions.
With Spectre variant 1 (CVE-2017-5753), the instructions after a conditional branch are speculatively executed as the result of a misprediction. With Spectre variant 2 (CVE-2017-5715), the CPU executes instructions at a location determined by a mispredicted branch target.
With both variants of the Spectre attack, the impact is that a process may leak sensitive data to other processes on a system. Spectre may also allow one part of an application to access other parts of the same process memory space that would otherwise not be permitted.
While the Spectre attack itself does not cross a user/kernel memory privilege boundary, depending on the configuration of the target platform, the Spectre attack may indirectly allow a user-space application to access kernel memory. For example, the Project Zero blog post describes a scenario that uses eBPF to exfiltrate kernel memory contents into user-space code. This is made possible because eBPF JIT allows for userspace applications to inject code that is executed in kernel space. While this code is verified by the kernel, eBPF-compliant code will be allowed to execute with kernel permissions. The exploit described by Project Zero leverages eBPF to execute the Spectre attack in kernel space, while exfiltrating the data to user space. It is possible that other technologies that allow in-kernel code execution may also possibly be leveraged to leak kernel memory using Spectre.
Meltdown is related to the Spectre attack in that it also uses a cache side channel to access data that otherwise wouldn't be available. The main difference is that it leverages out-of-order execution capabilities in modern CPUs. Like speculative execution due to branch prediction, as used by Spectre, out-of-order execution on a CPU is a technique for ensuring fullest utilization of the CPU's parts. Although instructions may appear sequentially in the machine language, a CPU that supports out-of-order execution may execute instructions in a non-sequential manner, which can minimize the time that a CPU spends idle.
Meltdown leverages insecure behavior that has been demonstrated in Intel CPUs and may affect CPUs from other vendors. Vulnerable CPUs allow memory reads in out-of-order instruction execution, and also contain a race condition between the raising of exceptions and the out-of-order instruction execution. The Meltdown attack reads a kernel memory value, which raises an exception because code running with user-space privileges are not permitted to directly read kernel memory. However, due to the race condition, out-of-order instructions following the faulting instruction may also execute. Even though instructions appear after the faulting instruction, out-of-order execution allows them to execute, using data retrieved from the instruction that raises the exception. By the time the exception is raised, some number of out-of-order instructions have executed. Although the raised exception causes the CPU to roll back the out-of-order instructions, the cache state is not reverted. This allows data from out-of-order instructions to persist beyond the point when the exception has been raised.
The impact of Meltdown is that a process running in user space is able to view the contents of kernel memory. Meltdown may also allow Spectre-like memory content leaking that does not cross the user/kernel privilege boundary.
The Linux kernel mitigations for Meltdown are referred to as KAISER, and subsequently KPTI, which aim to improve separation of kernel and user memory pages. Because the Spectre attacks do not cross user/kernel boundaries, the protections introduced with KAISER/KPTI do not add any protection against them.
The following table compares Spectre and Meltdown.
| | Spectre| Meltdown
CPU mechanism for triggering| Speculative execution from branch prediction| Out-of-order execution
Affected platforms| CPUs that perform speculative execution from branch prediction| CPUs that allow memory reads in out-of-order instructions
Difficulty of successful attack| High - Requires tailoring to the software environment of the victim process| Low - Kernel memory access exploit code is mostly universal
Impact| Cross- and intra-process (including kernel) memory disclosure| Kernel memory disclosure to userspace
Variant 2: Indirect Branch Restricted Speculation (IBRS).
Note: The software mitigation for Spectre variant 2 requires CPU microcode updates| Kernel page-table isolation (KPTI)
An attacker able to execute code with user privileges can achieve various impacts. The Meltdown attack allows reading of kernel memory from userspace. This can result in privilege escalation, disclosure of sensitive information, or it can weaken kernel-level protections, such as KASLR. The Spectre attack can allow inter-process or intra-process data leaks.
Operating system, CPU microcode updates, and some application updates mitigate these attacks. Note that in many cases, the software fixes for these vulnerabilities will have a negative affect on system performance. Also note that Microsoft Windows systems will no longer receive security updates via Windows Update if they are not running compliant anti-virus software. As with deploying any software updates, be sure to prioritize and test updates as necessary.
Consider CPU Options
Initial reports from the field indicate that overall system performance is impacted by many of the available patches for these vulnerabilities. Depending on the software workflow and the CPU capabilities present, the performance impact of software mitigations may be non-trivial and therefore may become an ongoing operational concern for some organizations. While we recognize that replacing existing CPUs in already deployed systems is not practical, organizations acquiring new systems should evaluate their CPU selection in light of the expected longevity of this vulnerability in available hardware as well as the performance impacts resulting from the various platform-specific software patches. Deployment contexts and performance requirements vary widely, and must be balanced by informed evaluation of the associated security risks. Contact your system vendor to determine if the CPU and operating system combination will experience a performance penalty due to software mitigations for these vulnerabilities.
Vendor| Status| Date Notified| Date Updated
Amazon| | -| 05 Jan 2018
AMD| | -| 03 Jan 2018
Android Open Source Project| | -| 05 Jan 2018
Apple| | -| 02 Feb 2018
Arm| | -| 03 Jan 2018
CentOS| | -| 05 Jan 2018
Cisco| | -| 05 Jan 2018
Citrix| | -| 05 Jan 2018
Debian GNU/Linux| | -| 05 Jan 2018
Dell| | -| 08 Jan 2018
DragonFly BSD Project| | -| 08 Jan 2018
Fedora Project| | -| 05 Jan 2018
Fortinet, Inc.| | -| 05 Jan 2018
FreeBSD Project| | -| 05 Jan 2018
Fujitsu| | -| 11 Jan 2018
If you are a vendor and your product is affected, let us know.
Group | Score | Vector
Base | 4.4 | AV:L/AC:M/Au:S/C:C/I:N/A:N
Temporal | 3.4 | E:POC/RL:OF/RC:C
Environmental | 5.1 | CDP:ND/TD:H/CR:H/IR:ND/AR:ND
These issues were researched and reported by researchers at Google Project Zero (Jann Horn) the Institute of Applied Information Processing and Communications (IAIK) at Graz University of Technology (Gruss et. al.), Paul Kocher, and Anders Fogh.
This document was written by Art Manion and Will Dormann.