CVE Vulnerabilities

CVE-2019-10193

Stack-based Buffer Overflow

Published: Jul 11, 2019 | Modified: Nov 21, 2024
CVSS 3.x
7.2
HIGH
Source:
NVD
CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H
CVSS 2.x
6.5 MEDIUM
AV:N/AC:L/Au:S/C:P/I:P/A:P
RedHat/V2
RedHat/V3
7.2 IMPORTANT
CVSS:3.0/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H
Ubuntu
MEDIUM

A stack-buffer overflow vulnerability was found in the Redis hyperloglog data structure versions 3.x before 3.2.13, 4.x before 4.0.14 and 5.x before 5.0.4. By corrupting a hyperloglog using the SETRANGE command, an attacker could cause Redis to perform controlled increments of up to 12 bytes past the end of a stack-allocated buffer.

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
Redis Redislabs 3.0.0 (including) 3.2.13 (excluding)
Redis Redislabs 4.0.0 (including) 4.0.14 (excluding)
Redis Redislabs 5.0 (including) 5.0.4 (excluding)
Red Hat Enterprise Linux 8 RedHat redis:5-8000020190711140130.f8e95b4e *
Red Hat Software Collections for Red Hat Enterprise Linux 7 RedHat rh-redis5-redis-0:5.0.5-1.el7 *
Red Hat Software Collections for Red Hat Enterprise Linux 7.4 EUS RedHat rh-redis5-redis-0:5.0.5-1.el7 *
Red Hat Software Collections for Red Hat Enterprise Linux 7.5 EUS RedHat rh-redis5-redis-0:5.0.5-1.el7 *
Red Hat Software Collections for Red Hat Enterprise Linux 7.6 EUS RedHat rh-redis5-redis-0:5.0.5-1.el7 *
Redis Ubuntu disco *
Redis Ubuntu trusty *
Redis Ubuntu upstream *

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