GSD-2024-29750
Vulnerability from gsd - Updated: 2024-04-02 05:02Details
In km_exp_did_inner of kmv.c, there is a possible out of bounds read due to a missing bounds check. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation.
Aliases
{
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2024-29750"
],
"details": "In km_exp_did_inner of kmv.c, there is a possible out of bounds read due to a missing bounds check. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation.",
"id": "GSD-2024-29750",
"modified": "2024-04-02T05:02:57.613248Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
"cve.org": {
"CVE_data_meta": {
"ASSIGNER": "dsap-vuln-management@google.com",
"ID": "CVE-2024-29750",
"STATE": "PUBLIC"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "Android",
"version": {
"version_data": [
{
"version_affected": "=",
"version_value": "Android kernel"
}
]
}
}
]
},
"vendor_name": "Google"
}
]
}
},
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "eng",
"value": "In km_exp_did_inner of kmv.c, there is a possible out of bounds read due to a missing bounds check. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation."
}
]
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "Information disclosure"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://source.android.com/security/bulletin/pixel/2024-04-01",
"refsource": "MISC",
"url": "https://source.android.com/security/bulletin/pixel/2024-04-01"
}
]
}
},
"nvd.nist.gov": {
"cve": {
"descriptions": [
{
"lang": "en",
"value": "In km_exp_did_inner of kmv.c, there is a possible out of bounds read due to a missing bounds check. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation."
},
{
"lang": "es",
"value": "En km_exp_did_inner de kmv.c, hay una posible lectura fuera de los l\u00edmites debido a una verificaci\u00f3n de los l\u00edmites faltantes. Esto podr\u00eda dar lugar a la divulgaci\u00f3n de informaci\u00f3n local sin necesidad de privilegios de ejecuci\u00f3n adicionales. La interacci\u00f3n del usuario no es necesaria para la explotaci\u00f3n."
}
],
"id": "CVE-2024-29750",
"lastModified": "2024-04-08T18:49:25.863",
"metrics": {},
"published": "2024-04-05T20:15:08.507",
"references": [
{
"source": "dsap-vuln-management@google.com",
"url": "https://source.android.com/security/bulletin/pixel/2024-04-01"
}
],
"sourceIdentifier": "dsap-vuln-management@google.com",
"vulnStatus": "Awaiting Analysis"
}
}
}
}
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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.
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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