CVE Vulnerabilities

CVE-2021-31229

Out-of-bounds Write

Published: Apr 15, 2021 | Modified: Nov 21, 2024
CVSS 3.x
6.5
MEDIUM
Source:
NVD
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H
CVSS 2.x
4.3 MEDIUM
AV:N/AC:M/Au:N/C:N/I:N/A:P
RedHat/V2
RedHat/V3
Ubuntu
LOW
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An issue was discovered in libezxml.a in ezXML 0.8.6. The function ezxml_internal_dtd() performs incorrect memory handling while parsing crafted XML files, which leads to an out-of-bounds write of a one byte constant.

Weakness

The product writes data past the end, or before the beginning, of the intended buffer.

Affected Software

NameVendorStart VersionEnd Version
EzxmlEzxml_project0.8.6 (including)0.8.6 (including)
MapcacheUbuntubionic*
MapcacheUbuntudevel*
MapcacheUbuntuesm-apps/bionic*
MapcacheUbuntuesm-apps/focal*
MapcacheUbuntuesm-apps/jammy*
MapcacheUbuntuesm-apps/noble*
MapcacheUbuntuesm-apps/xenial*
MapcacheUbuntufocal*
MapcacheUbuntugroovy*
MapcacheUbuntuhirsute*
MapcacheUbuntuimpish*
MapcacheUbuntujammy*
MapcacheUbuntukinetic*
MapcacheUbuntulunar*
MapcacheUbuntumantic*
MapcacheUbuntunoble*
MapcacheUbuntuoracular*
MapcacheUbuntuplucky*
MapcacheUbuntuquesting*
MapcacheUbuntutrusty*
MapcacheUbuntuupstream*
MapcacheUbuntuxenial*
NavitUbuntubionic*
NavitUbuntufocal*
NavitUbuntugroovy*
NavitUbuntuhirsute*
NavitUbuntuimpish*
NavitUbuntukinetic*
NavitUbuntulunar*
NavitUbuntumantic*
NavitUbuntuoracular*
NavitUbuntuplucky*
NavitUbuntutrusty*
NavitUbuntuxenial*
NetcdfUbuntubionic*
NetcdfUbuntuesm-apps/focal*
NetcdfUbuntuesm-apps/jammy*
NetcdfUbuntufocal*
NetcdfUbuntugroovy*
NetcdfUbuntuhirsute*
NetcdfUbuntuimpish*
NetcdfUbuntujammy*
NetcdfUbuntukinetic*
NetcdfUbuntulunar*
NetcdfUbuntumantic*
NetcdfUbuntutrusty*
NetcdfUbuntutrusty/esm*
NetcdfUbuntuupstream*
NetcdfUbuntuxenial*
Netcdf-parallelUbuntuesm-apps/focal*
Netcdf-parallelUbuntuesm-apps/jammy*
Netcdf-parallelUbuntufocal*
Netcdf-parallelUbuntugroovy*
Netcdf-parallelUbuntuhirsute*
Netcdf-parallelUbuntuimpish*
Netcdf-parallelUbuntujammy*
Netcdf-parallelUbuntukinetic*
Netcdf-parallelUbuntulunar*
Netcdf-parallelUbuntumantic*
Netcdf-parallelUbuntuoracular*
Netcdf-parallelUbuntutrusty*
Netcdf-parallelUbuntuupstream*
Netcdf-parallelUbuntuxenial*
ScilabUbuntubionic*
ScilabUbuntudevel*
ScilabUbuntuesm-apps/bionic*
ScilabUbuntuesm-apps/focal*
ScilabUbuntuesm-apps/jammy*
ScilabUbuntuesm-apps/noble*
ScilabUbuntuesm-apps/xenial*
ScilabUbuntufocal*
ScilabUbuntugroovy*
ScilabUbuntuhirsute*
ScilabUbuntuimpish*
ScilabUbuntujammy*
ScilabUbuntukinetic*
ScilabUbuntulunar*
ScilabUbuntumantic*
ScilabUbuntunoble*
ScilabUbuntuoracular*
ScilabUbuntuplucky*
ScilabUbuntuquesting*
ScilabUbuntutrusty*
ScilabUbuntuxenial*

Potential Mitigations

  • Use a language that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid.

  • For example, many languages that perform their own memory management, such as Java and Perl, are not subject to buffer overflows. Other languages, such as Ada and C#, typically provide overflow protection, but the protection can be disabled by the programmer.

  • Be wary that a language’s interface to native code may still be subject to overflows, even if the language itself is theoretically safe.

  • Use a vetted library or framework that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid.

  • Examples include the Safe C String Library (SafeStr) by Messier and Viega [REF-57], and the Strsafe.h library from Microsoft [REF-56]. These libraries provide safer versions of overflow-prone string-handling functions.

  • 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.

  • Consider adhering to the following rules when allocating and managing an application’s memory:

  • 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].

  • Use a CPU and operating system that offers Data Execution Protection (using hardware NX or XD bits) or the equivalent techniques that simulate this feature in software, such as PaX [REF-60] [REF-61]. These techniques ensure that any instruction executed is exclusively at a memory address that is part of the code segment.

  • For more information on these techniques see D3-PSEP (Process Segment Execution Prevention) from D3FEND [REF-1336].

References