CVE Vulnerabilities

CVE-2019-10164

Stack-based Buffer Overflow

Published: Jun 26, 2019 | Modified: Nov 21, 2024
CVSS 3.x
8.8
HIGH
Source:
NVD
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
CVSS 2.x
9 HIGH
AV:N/AC:L/Au:S/C:C/I:C/A:C
RedHat/V2
RedHat/V3
7.5 MODERATE
CVSS:3.0/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H
Ubuntu
MEDIUM
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PostgreSQL versions 10.x before 10.9 and versions 11.x before 11.4 are vulnerable to a stack-based buffer overflow. Any authenticated user can overflow a stack-based buffer by changing the users own password to a purpose-crafted value. This often suffices to execute arbitrary code as the PostgreSQL operating system account.

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

NameVendorStart VersionEnd Version
PostgresqlPostgresql10.0 (including)10.9 (excluding)
PostgresqlPostgresql11.0 (including)11.4 (excluding)
Red Hat Enterprise Linux 8RedHatlibpq-0:12.1-3.el8*
Red Hat Enterprise Linux 8RedHatpostgresql:10-8020020200825115746.4cda2c84*
Red Hat Enterprise Linux 8.0 Update Services for SAP SolutionsRedHatpostgresql:10-8000020201214113918.f8e95b4e*
Red Hat Enterprise Linux 8.1 Extended Update SupportRedHatpostgresql:10-8010020201214112129.c27ad7f8*
Red Hat Software Collections for Red Hat Enterprise Linux 7RedHatrh-postgresql10-postgresql-0:10.12-2.el7*
Red Hat Software Collections for Red Hat Enterprise Linux 7.5 EUSRedHatrh-postgresql10-postgresql-0:10.12-2.el7*
Red Hat Software Collections for Red Hat Enterprise Linux 7.6 EUSRedHatrh-postgresql10-postgresql-0:10.12-2.el7*
Red Hat Software Collections for Red Hat Enterprise Linux 7.7 EUSRedHatrh-postgresql10-postgresql-0:10.12-2.el7*
Postgresql-10Ubuntubionic*
Postgresql-10Ubuntucosmic*
Postgresql-10Ubuntuesm-infra/bionic*
Postgresql-10Ubuntuupstream*
Postgresql-11Ubuntudevel*
Postgresql-11Ubuntudisco*
Postgresql-11Ubuntuupstream*

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