FKIE_CVE-2021-33631
Vulnerability from fkie_nvd - Published: 2024-01-18 15:15 - Updated: 2026-06-17 03:54
Severity
5.5 (Medium) - CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
7.8 (High) - CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
7.8 (High) - CVSS:3.1/
Summary
Integer Overflow or Wraparound vulnerability in openEuler kernel on Linux (filesystem modules) allows Forced Integer Overflow.This issue affects openEuler kernel: from 4.19.90 before 4.19.90-2401.3, from 5.10.0-60.18.0 before 5.10.0-183.0.0.
References
{
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{
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"defaultStatus": "unaffected",
"modules": [
"filesystem"
],
"packageName": "kernel",
"platforms": [
"Linux"
],
"product": "kernel",
"programFiles": [
"https://gitee.com/openeuler/kernel/blob/openEuler-22.03-LTS/fs/ext4/inline.c"
],
"repo": "https://gitee.com/src-openeuler/kernel",
"vendor": "openEuler",
"versions": [
{
"changes": [
{
"at": "cf1d16ea2f1086c0765348344b70aa2361436642 ext4: fix kernel BUG in \u0027ext4_write_inline_data_end()\u0027",
"status": "unaffected"
}
],
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"status": "affected",
"version": "4.19.90",
"versionType": "git"
},
{
"changes": [
{
"at": "1587126a0f2a79b3ee6cb309bbfaf079c39eda29 ext4: fix kernel BUG in \u0027ext4_write_inline_data_end()\u0027",
"status": "unaffected"
}
],
"lessThan": "5.10.0-183.0.0",
"status": "affected",
"version": "5.10.0-60.18.0",
"versionType": "git"
}
]
}
],
"source": "securities@openeuler.org"
}
],
"configurations": [
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"value": "Integer Overflow or Wraparound vulnerability in openEuler kernel on Linux (filesystem modules) allows Forced Integer Overflow.This issue affects openEuler kernel: from 4.19.90 before 4.19.90-2401.3, from 5.10.0-60.18.0 before 5.10.0-183.0.0."
},
{
"lang": "es",
"value": "La vulnerabilidad de desbordamiento de enteros o envoltura en el kernel openEuler en Linux (m\u00f3dulos del sistema de archivos) permite el desbordamiento de enteros forzado. Este problema afecta al kernel de openEuler: desde 4.19.90 antes de 4.19.90-2401.3, desde 5.10.0-60.18.0 antes de 5.10.0-183.0 .0."
}
],
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"lastModified": "2026-06-17T03:54:54.050",
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"timestamp": "2024-02-21T18:54:33.956367Z",
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"published": "2024-01-18T15:15:08.860",
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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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