FKIE_CVE-2024-47545
Vulnerability from fkie_nvd - Published: 2024-12-12 02:03 - Updated: 2026-06-17 07:57
Severity
Summary
GStreamer is a library for constructing graphs of media-handling components. An integer underflow has been detected in qtdemux_parse_trak function within qtdemux.c. During the strf parsing case, the subtraction size -= 40 can lead to a negative integer overflow if it is less than 40. If this happens, the subsequent call to gst_buffer_fill will invoke memcpy with a large tocopy size, resulting in an OOB-read. This vulnerability is fixed in 1.24.10.
References
{
"affected": [
{
"affectedData": [
{
"product": "gstreamer",
"vendor": "gstreamer",
"versions": [
{
"status": "affected",
"version": "\u003c 1.24.10"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"configurations": [
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"criteria": "cpe:2.3:a:gstreamer:gstreamer:*:*:*:*:*:*:*:*",
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"versionEndExcluding": "1.24.10",
"vulnerable": true
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"cveTags": [],
"descriptions": [
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"lang": "en",
"value": "GStreamer is a library for constructing graphs of media-handling components. An integer underflow has been detected in qtdemux_parse_trak function within qtdemux.c. During the strf parsing case, the subtraction size -= 40 can lead to a negative integer overflow if it is less than 40. If this happens, the subsequent call to gst_buffer_fill will invoke memcpy with a large tocopy size, resulting in an OOB-read. This vulnerability is fixed in 1.24.10."
},
{
"lang": "es",
"value": "GStreamer es una librer\u00eda para construir gr\u00e1ficos de componentes de manejo de medios. Se ha detectado un desbordamiento de enteros en la funci\u00f3n qtdemux_parse_trak dentro de qtdemux.c. Durante el caso de an\u00e1lisis de strf, el tama\u00f1o de la resta -= 40 puede provocar un desbordamiento de enteros negativo si es menor que 40. Si esto sucede, la llamada posterior a gst_buffer_fill invocar\u00e1 memcpy con un tama\u00f1o de copia grande, lo que dar\u00e1 como resultado una lectura OOB. Esta vulnerabilidad se corrigi\u00f3 en 1.24.10."
}
],
"id": "CVE-2024-47545",
"lastModified": "2026-06-17T07:57:16.720",
"metrics": {
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"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
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"exploitabilityScore": 3.9,
"impactScore": 3.6,
"source": "nvd@nist.gov",
"type": "Primary"
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"Recovery": "NOT_DEFINED",
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"attackRequirements": "NONE",
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"availabilityRequirement": "NOT_DEFINED",
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"baseSeverity": "MEDIUM",
"confidentialityRequirement": "NOT_DEFINED",
"exploitMaturity": "NOT_DEFINED",
"integrityRequirement": "NOT_DEFINED",
"modifiedAttackComplexity": "NOT_DEFINED",
"modifiedAttackRequirements": "NOT_DEFINED",
"modifiedAttackVector": "NOT_DEFINED",
"modifiedPrivilegesRequired": "NOT_DEFINED",
"modifiedSubAvailabilityImpact": "NOT_DEFINED",
"modifiedSubConfidentialityImpact": "NOT_DEFINED",
"modifiedSubIntegrityImpact": "NOT_DEFINED",
"modifiedUserInteraction": "NOT_DEFINED",
"modifiedVulnAvailabilityImpact": "NOT_DEFINED",
"modifiedVulnConfidentialityImpact": "NOT_DEFINED",
"modifiedVulnIntegrityImpact": "NOT_DEFINED",
"privilegesRequired": "NONE",
"providerUrgency": "NOT_DEFINED",
"subAvailabilityImpact": "NONE",
"subConfidentialityImpact": "NONE",
"subIntegrityImpact": "NONE",
"userInteraction": "NONE",
"valueDensity": "NOT_DEFINED",
"vectorString": "CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
"version": "4.0",
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"vulnerabilityResponseEffort": "NOT_DEFINED"
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"ssvcV203": [
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"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
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"options": [
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{
"automatable": "no"
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{
"technicalImpact": "partial"
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],
"role": "CISA Coordinator",
"timestamp": "2024-12-13T17:44:03.153452Z",
"version": "2.0.3"
}
}
]
},
"published": "2024-12-12T02:03:29.083",
"references": [
{
"source": "security-advisories@github.com",
"tags": [
"Patch"
],
"url": "https://gitlab.freedesktop.org/gstreamer/gstreamer/-/merge_requests/8059.patch"
},
{
"source": "security-advisories@github.com",
"tags": [
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"url": "https://gstreamer.freedesktop.org/security/sa-2024-0010.html"
},
{
"source": "security-advisories@github.com",
"tags": [
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"url": "https://securitylab.github.com/advisories/GHSL-2024-242_Gstreamer/"
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{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://lists.debian.org/debian-lts-announce/2025/02/msg00035.html"
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"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Modified",
"weaknesses": [
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"lang": "en",
"value": "CWE-191"
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"source": "security-advisories@github.com",
"type": "Secondary"
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]
}
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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 |
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Nomenclature
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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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