GHSA-WFHJ-V65X-VJP5
Vulnerability from github – Published: 2026-08-12 21:31 – Updated: 2026-08-12 21:31
VLAI
Details
A flaw was found in GStreamer gst-plugins-good (avidemux). In gst_avi_demux_riff_parse_vprp(), the number of available gst_riff_vprp_video_field_desc entries is calculated by dividing the remaining buffer size by the attacker-controlled vprp->fields value, rather than by sizeof(gst_riff_vprp_video_field_desc). This can cause the parser to treat more field descriptors as available than fit in the input buffer, resulting in out-of-bounds reads. Processing a crafted AVI via playbin/decodebin can crash the application (denial of service). Fixed upstream in gst-plugins-good 1.28.6 (GStreamer-SA-2026-0072).
Severity
7.1 (High)
{
"affected": [],
"aliases": [
"CVE-2026-73434"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-08-12T20:17:56Z",
"severity": "HIGH"
},
"details": "A flaw was found in GStreamer gst-plugins-good (avidemux). In gst_avi_demux_riff_parse_vprp(), the number of available gst_riff_vprp_video_field_desc entries is calculated by dividing the remaining buffer size by the attacker-controlled vprp-\u003efields value, rather than by sizeof(gst_riff_vprp_video_field_desc). This can cause the parser to treat more field descriptors as available than fit in the input buffer, resulting in out-of-bounds reads. Processing a crafted AVI via playbin/decodebin can crash the application (denial of service). Fixed upstream in gst-plugins-good 1.28.6 (GStreamer-SA-2026-0072).",
"id": "GHSA-wfhj-v65x-vjp5",
"modified": "2026-08-12T21:31:43Z",
"published": "2026-08-12T21:31:43Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-73434"
},
{
"type": "WEB",
"url": "https://access.redhat.com/security/cve/CVE-2026-73434"
},
{
"type": "WEB",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2514807"
},
{
"type": "WEB",
"url": "https://gitlab.freedesktop.org/gstreamer/gstreamer/-/merge_requests/12231"
},
{
"type": "WEB",
"url": "https://gstreamer.freedesktop.org/security/sa-2026-0072.html"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:N/A:H",
"type": "CVSS_V3"
}
]
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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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.
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.
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