CVE-2024-47538

Dec. 19, 2024, 10:15 p.m.

9.8
Critical

Description

GStreamer is a library for constructing graphs of media-handling components. A stack-buffer overflow has been detected in the `vorbis_handle_identification_packet` function within `gstvorbisdec.c`. The position array is a stack-allocated buffer of size 64. If vd->vi.channels exceeds 64, the for loop will write beyond the boundaries of the position array. The value written will always be `GST_AUDIO_CHANNEL_POSITION_NONE`. This vulnerability allows someone to overwrite the EIP address allocated in the stack. Additionally, this bug can overwrite the `GstAudioInfo` info structure. This vulnerability is fixed in 1.24.10.

Product(s) Impacted

Vendor Product Versions
Gstreamer Project
  • Gstreamer
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-121
Stack-based Buffer Overflow
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).
CWE-787
Out-of-bounds Write
The product writes data past the end, or before the beginning, of the intended buffer.

*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 / / / / / / / /

CVSS Score

9.8 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: NONE
  • Scope: UNCHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

    View Vector String

Timeline

Published: Dec. 12, 2024, 2:03 a.m.
Last Modified: Dec. 19, 2024, 10:15 p.m.

Status : Modified

CVE has been recently published to the CVE List and has been received by the NVD.

More info

Source

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.