CVE-2024-47834
Dec. 18, 2024, 7:43 p.m.
9.1
Critical
Description
GStreamer is a library for constructing graphs of media-handling components. An Use-After-Free read vulnerability has been discovered affecting the processing of CodecPrivate elements in Matroska streams. In the GST_MATROSKA_ID_CODECPRIVATE case within the gst_matroska_demux_parse_stream function, a data chunk is allocated using gst_ebml_read_binary. Later, the allocated memory is freed in the gst_matroska_track_free function, by the call to g_free (track->codec_priv). Finally, the freed memory is accessed in the caps_serialize function through gst_value_serialize_buffer. The freed memory will be accessed in the gst_value_serialize_buffer function. This results in a UAF read vulnerability, as the function tries to process memory that has already been freed. This vulnerability is fixed in 1.24.10.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Gstreamer Project |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-416
Use After Free
Referencing memory after it has been freed can cause a program to crash, use unexpected values, or execute code.
*CPE(s)
Affected systems and software identified for this CVE.
| Type | Vendor | Product | Version | Update | Edition | Language | Software Edition | Target Software | Target Hardware | Other Information |
|---|---|---|---|---|---|---|---|---|---|---|
| a | gstreamer_project | gstreamer | / | / | / | / | / | / | / | / |
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: NONE
- Scope: UNCHANGED
- Confidentiality Impact: HIGH
- Integrity Impact: NONE
- Availability Impact: HIGH
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:H
Timeline
Published: Dec. 12, 2024, 2:03 a.m.
Last Modified: Dec. 18, 2024, 7:43 p.m.
Last Modified: Dec. 18, 2024, 7:43 p.m.
Status : Analyzed
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
security-advisories@github.com
*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.