CVE Vulnerabilities

CVE-2024-47615

Out-of-bounds Write

Published: Dec 12, 2024 | Modified: Nov 03, 2025
CVSS 3.x
9.8
CRITICAL
Source:
NVD
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
CVSS 2.x
RedHat/V2
RedHat/V3
9.8 IMPORTANT
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Ubuntu
MEDIUM
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GStreamer is a library for constructing graphs of media-handling components. An OOB-Write has been detected in the function gst_parse_vorbis_setup_packet within vorbis_parse.c. The integer size is read from the input file without proper validation. As a result, size can exceed the fixed size of the pad->vorbis_mode_sizes array (which size is 256). When this happens, the for loop overwrites the entire pad structure with 0s and 1s, affecting adjacent memory as well. This OOB-write can overwrite up to 380 bytes of memory beyond the boundaries of the pad->vorbis_mode_sizes array. This vulnerability is fixed in 1.24.10.

Weakness

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

Affected Software

NameVendorStart VersionEnd Version
GstreamerGstreamer_project*1.24.10 (excluding)
Red Hat Enterprise Linux 7 Extended Lifecycle SupportRedHatgstreamer1-plugins-base-0:1.10.4-3.el7_9*
Red Hat Enterprise Linux 7 Extended Lifecycle SupportRedHatgstreamer1-plugins-good-0:1.10.4-3.el7_9*
Red Hat Enterprise Linux 8RedHatgstreamer1-plugins-base-0:1.16.1-5.el8_10*
Red Hat Enterprise Linux 8.2 Advanced Update SupportRedHatgstreamer1-plugins-base-0:1.16.1-2.el8_2*
Red Hat Enterprise Linux 8.4 Advanced Mission Critical Update SupportRedHatgstreamer1-plugins-base-0:1.16.1-3.el8_4*
Red Hat Enterprise Linux 8.4 Telecommunications Update ServiceRedHatgstreamer1-plugins-base-0:1.16.1-3.el8_4*
Red Hat Enterprise Linux 8.4 Update Services for SAP SolutionsRedHatgstreamer1-plugins-base-0:1.16.1-3.el8_4*
Red Hat Enterprise Linux 8.6 Advanced Mission Critical Update SupportRedHatgstreamer1-plugins-base-0:1.16.1-3.el8_6*
Red Hat Enterprise Linux 8.6 Telecommunications Update ServiceRedHatgstreamer1-plugins-base-0:1.16.1-3.el8_6*
Red Hat Enterprise Linux 8.6 Update Services for SAP SolutionsRedHatgstreamer1-plugins-base-0:1.16.1-3.el8_6*
Red Hat Enterprise Linux 8.8 Extended Update SupportRedHatgstreamer1-plugins-base-0:1.16.1-3.el8_8*
Red Hat Enterprise Linux 9RedHatgstreamer1-plugins-base-0:1.22.1-3.el9_5*
Red Hat Enterprise Linux 9.0 Update Services for SAP SolutionsRedHatgstreamer1-plugins-base-0:1.18.4-7.el9_0*
Red Hat Enterprise Linux 9.2 Extended Update SupportRedHatgstreamer1-plugins-base-0:1.18.4-7.el9_2*
Red Hat Enterprise Linux 9.4 Extended Update SupportRedHatgstreamer1-plugins-base-0:1.22.1-3.el9_4*
Gst-plugins-base1.0Ubuntuesm-infra/bionic*
Gst-plugins-base1.0Ubuntuesm-infra/focal*
Gst-plugins-base1.0Ubuntuesm-infra/xenial*
Gst-plugins-base1.0Ubuntufocal*
Gst-plugins-base1.0Ubuntujammy*
Gst-plugins-base1.0Ubuntunoble*
Gst-plugins-base1.0Ubuntuoracular*
Gst-plugins-base1.0Ubuntuupstream*

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