CVE Vulnerabilities

CVE-2017-15118

Stack-based Buffer Overflow

Published: Jul 27, 2018 | Modified: Nov 21, 2024
CVSS 3.x
9.8
CRITICAL
Source:
NVD
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
CVSS 2.x
7.5 HIGH
AV:N/AC:L/Au:N/C:P/I:P/A:P
RedHat/V2
7.5 IMPORTANT
AV:N/AC:L/Au:N/C:P/I:P/A:P
RedHat/V3
8.3 IMPORTANT
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:L/I:L/A:L
Ubuntu
MEDIUM

A stack-based buffer overflow vulnerability was found in NBD server implementation in qemu before 2.11 allowing a client to request an export name of size up to 4096 bytes, which in fact should be limited to 256 bytes, causing an out-of-bounds stack write in the qemu process. If NBD server requires TLS, the attacker cannot trigger the buffer overflow without first successfully negotiating TLS.

Weakness

A stack-based buffer overflow condition is a condition where the buffer being overwritten is allocated on the stack (i.e., is a local variable or, rarely, a parameter to a function).

Affected Software

Name Vendor Start Version End Version
Qemu Qemu * 2.11 (excluding)
Red Hat OpenStack Platform 10.0 (Newton) RedHat qemu-kvm-rhev-10:2.10.0-21.el7 *
Red Hat OpenStack Platform 11.0 (Ocata) RedHat qemu-kvm-rhev-10:2.10.0-21.el7 *
Red Hat OpenStack Platform 12.0 (Pike) RedHat qemu-kvm-rhev-10:2.10.0-21.el7 *
Red Hat OpenStack Platform 8.0 (Liberty) RedHat qemu-kvm-rhev-10:2.10.0-21.el7 *
Red Hat OpenStack Platform 9.0 (Mitaka) RedHat qemu-kvm-rhev-10:2.10.0-21.el7 *
Red Hat Virtualization 4 for Red Hat Enterprise Linux 7 RedHat qemu-kvm-rhev-10:2.10.0-21.el7 *
Qemu Ubuntu artful *
Qemu Ubuntu upstream *
Qemu Ubuntu zesty *

Potential Mitigations

  • Use automatic buffer overflow detection mechanisms that are offered by certain compilers or compiler extensions. Examples include: the Microsoft Visual Studio /GS flag, Fedora/Red Hat FORTIFY_SOURCE GCC flag, StackGuard, and ProPolice, which provide various mechanisms including canary-based detection and range/index checking.
  • D3-SFCV (Stack Frame Canary Validation) from D3FEND [REF-1334] discusses canary-based detection in detail.
  • Run or compile the software using features or extensions that randomly arrange the positions of a program’s executable and libraries in memory. Because this makes the addresses unpredictable, it can prevent an attacker from reliably jumping to exploitable code.
  • Examples include Address Space Layout Randomization (ASLR) [REF-58] [REF-60] and Position-Independent Executables (PIE) [REF-64]. Imported modules may be similarly realigned if their default memory addresses conflict with other modules, in a process known as “rebasing” (for Windows) and “prelinking” (for Linux) [REF-1332] using randomly generated addresses. ASLR for libraries cannot be used in conjunction with prelink since it would require relocating the libraries at run-time, defeating the whole purpose of prelinking.
  • For more information on these techniques see D3-SAOR (Segment Address Offset Randomization) from D3FEND [REF-1335].

References