GStreamer up to 1.26.1 MP4 File Parser qtdemux_parse_trak information disclosure

CVSS Meta Temp Score
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CTI Interest Score
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6.2$0-$5k0.00

Summaryinfo

A vulnerability, which was classified as problematic, has been found in GStreamer up to 1.26.1. Affected by this vulnerability is the function qtdemux_parse_trak of the component MP4 File Parser. The manipulation leads to information disclosure. This vulnerability is uniquely identified as CVE-2025-47219. The attack is possible to be carried out remotely. No exploit exists.

Detailsinfo

A vulnerability, which was classified as problematic, has been found in GStreamer up to 1.26.1. This issue affects the function qtdemux_parse_trak of the component MP4 File Parser. The manipulation with an unknown input leads to a information disclosure vulnerability. Using CWE to declare the problem leads to CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. Impacted is confidentiality. The summary by CVE is:

In GStreamer through 1.26.1, the isomp4 plugin's qtdemux_parse_trak function may read past the end of a heap buffer while parsing an MP4 file, possibly leading to information disclosure.

It is possible to read the advisory at gstreamer.freedesktop.org. The identification of this vulnerability is CVE-2025-47219 since 05/02/2025. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. It demands that the victim is doing some kind of user interaction. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1592 according to MITRE ATT&CK.

The vulnerability scanner Nessus provides a plugin with the ID 253570 (Linux Distros Unpatched Vulnerability : CVE-2025-47219), which helps to determine the existence of the flaw in a target environment.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

The vulnerability is also documented in the databases at Tenable (253570) and CERT Bund (WID-SEC-2025-1171). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Affected

  • Debian Linux
  • Amazon Linux 2
  • Fedora Linux
  • Ubuntu Linux
  • SUSE Linux
  • IBM App Connect Enterprise
  • Open Source GStreamer

Productinfo

Type

Name

Version

License

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.2
VulDB Meta Temp Score: 6.2

VulDB Base Score: 4.3
VulDB Temp Score: 4.3
VulDB Vector: 🔒
VulDB Reliability: 🔍

ADP CISA Base Score: 8.1
ADP CISA Vector: 🔒

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Information disclosure
CWE: CWE-200 / CWE-284 / CWE-266
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined

EPSS Score: 🔒
EPSS Percentile: 🔒

Price Prediction: 🔍
Current Price Estimation: 🔒

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Nessus ID: 253570
Nessus Name: Linux Distros Unpatched Vulnerability : CVE-2025-47219

Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

05/02/2025 CVE reserved
08/07/2025 +97 days Advisory disclosed
08/07/2025 +0 days VulDB entry created
03/17/2026 +222 days VulDB entry last update

Sourcesinfo

Advisory: gstreamer.freedesktop.org
Status: Not defined

CVE: CVE-2025-47219 (🔒)
GCVE (CVE): GCVE-0-2025-47219
GCVE (VulDB): GCVE-100-319187
CERT Bund: WID-SEC-2025-1171 - GStreamer: Mehrere Schwachstellen

Entryinfo

Created: 08/07/2025 22:43
Updated: 03/17/2026 19:53
Changes: 08/07/2025 22:43 (54), 08/09/2025 02:23 (1), 08/17/2025 18:09 (7), 08/22/2025 22:14 (2), 11/18/2025 04:02 (1), 03/17/2026 19:53 (11)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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