oesa-2021-1322
Vulnerability from osv_openeuler
Published
2021-08-20 11:04
Modified
2026-08-06 11:04
Summary
gstreamer1-plugins-good security update
Details
GStreamer is a streaming media framework, based on graphs of filters which operate on media data. Applications using this library can do anything from real-time sound processing to playing videos, and just about anything else media-related. Its plugin-based architecture means that new data types or processing capabilities can be added simply by installing new plugins.
Security Fix(es):
GStreamer before 1.18.4 might access already-freed memory in error code paths when demuxing certain malformed Matroska files.(CVE-2021-3497)
GStreamer before 1.18.4 might cause heap corruption when parsing certain malformed Matroska files.(CVE-2021-3498)
Severity
7.8 (High)
References
| URL | Type | |
|---|---|---|
{
"affected": [
{
"ecosystem_specific": {
"aarch64": [
"gstreamer1-plugins-good-1.16.2-2.oe1.aarch64.rpm",
"gstreamer1-plugins-good-gtk-1.16.2-2.oe1.aarch64.rpm",
"gstreamer1-plugins-good-debuginfo-1.16.2-2.oe1.aarch64.rpm",
"gstreamer1-plugins-good-debugsource-1.16.2-2.oe1.aarch64.rpm"
],
"noarch": [
"gstreamer1-plugins-good-help-1.16.2-2.oe1.noarch.rpm"
],
"src": [
"gstreamer1-plugins-good-1.16.2-2.oe1.src.rpm"
],
"x86_64": [
"gstreamer1-plugins-good-debuginfo-1.16.2-2.oe1.x86_64.rpm",
"gstreamer1-plugins-good-1.16.2-2.oe1.x86_64.rpm",
"gstreamer1-plugins-good-debugsource-1.16.2-2.oe1.x86_64.rpm",
"gstreamer1-plugins-good-gtk-1.16.2-2.oe1.x86_64.rpm"
]
},
"package": {
"ecosystem": "openEuler:20.03-LTS-SP1",
"name": "gstreamer1-plugins-good",
"purl": "pkg:rpm/openEuler/gstreamer1-plugins-good\u0026distro=openEuler-20.03-LTS-SP1"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "1.16.2-2.oe1"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"ecosystem_specific": {
"aarch64": [
"gstreamer1-plugins-good-1.16.2-2.oe1.aarch64.rpm",
"gstreamer1-plugins-good-debugsource-1.16.2-2.oe1.aarch64.rpm",
"gstreamer1-plugins-good-debuginfo-1.16.2-2.oe1.aarch64.rpm",
"gstreamer1-plugins-good-gtk-1.16.2-2.oe1.aarch64.rpm"
],
"noarch": [
"gstreamer1-plugins-good-help-1.16.2-2.oe1.noarch.rpm"
],
"src": [
"gstreamer1-plugins-good-1.16.2-2.oe1.src.rpm"
],
"x86_64": [
"gstreamer1-plugins-good-gtk-1.16.2-2.oe1.x86_64.rpm",
"gstreamer1-plugins-good-1.16.2-2.oe1.x86_64.rpm",
"gstreamer1-plugins-good-debuginfo-1.16.2-2.oe1.x86_64.rpm",
"gstreamer1-plugins-good-debugsource-1.16.2-2.oe1.x86_64.rpm"
]
},
"package": {
"ecosystem": "openEuler:20.03-LTS-SP2",
"name": "gstreamer1-plugins-good",
"purl": "pkg:rpm/openEuler/gstreamer1-plugins-good\u0026distro=openEuler-20.03-LTS-SP2"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "1.16.2-2.oe1"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"severity": "High"
},
"details": "GStreamer is a streaming media framework, based on graphs of filters which operate on media data. Applications using this library can do anything from real-time sound processing to playing videos, and just about anything else media-related. Its plugin-based architecture means that new data types or processing capabilities can be added simply by installing new plugins.\r\n\r\nSecurity Fix(es):\n\nGStreamer before 1.18.4 might access already-freed memory in error code paths when demuxing certain malformed Matroska files.(CVE-2021-3497)\r\n\r\nGStreamer before 1.18.4 might cause heap corruption when parsing certain malformed Matroska files.(CVE-2021-3498)",
"id": "OESA-2021-1322",
"modified": "2026-08-06T11:04:33Z",
"published": "2021-08-20T11:04:33Z",
"references": [
{
"type": "ADVISORY",
"url": "https://openeuler.org/en/security/safety-bulletin/detail.html?id=openEuler-SA-2021-1322"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-3497"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-3498"
}
],
"schema_version": "1.7.2",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
],
"summary": "gstreamer1-plugins-good security update",
"upstream": [
"CVE-2021-3497",
"CVE-2021-3498"
]
}
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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
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- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
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- Not confirmed: The user expressed doubt about the validity of the vulnerability.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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