GSD-2021-38423
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
All versions of GurumDDS improperly calculate the size to be used when allocating the buffer, which may result in a buffer overflow.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2021-38423",
"description": "All versions of GurumDDS improperly calculate the size to be used when allocating the buffer, which may result in a buffer overflow.",
"id": "GSD-2021-38423"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2021-38423"
],
"details": "All versions of GurumDDS improperly calculate the size to be used when allocating the buffer, which may result in a buffer overflow.",
"id": "GSD-2021-38423",
"modified": "2023-12-13T01:23:17.439635Z",
"schema_version": "1.4.0"
}
},
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"ID": "CVE-2021-38423",
"STATE": "PUBLIC",
"TITLE": "GurumDDS Heap-based Incorrect Calculation of Buffer Size"
},
"affects": {
"vendor": {
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{
"product": {
"product_data": [
{
"product_name": "GurumDDS",
"version": {
"version_data": [
{
"version_value": "all versions"
}
]
}
}
]
},
"vendor_name": "GurumNetworks"
}
]
}
},
"credit": [
{
"lang": "eng",
"value": "Federico Maggi (Trend Micro Research), Ta-Lun Yen, and Chizuru Toyama (TXOne Networks, Trend Micro) reported these vulnerabilities to CISA. In addition, Patrick Kuo, Mars Cheng (TXOne Networks, Trend Micro), V\u00edctor Mayoral-Vilches (Alias Robotics), and Erik Boasson (ADLINK Technology) also contributed to this research."
}
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}
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},
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},
"impact": {
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"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 6.6,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H",
"version": "3.1"
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"description": [
{
"lang": "eng",
"value": "CWE-131 Incorrect Calculation of Buffer Size"
}
]
}
]
},
"references": {
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{
"name": "https://www.cisa.gov/uscert/ics/advisories/icsa-21-315-02",
"refsource": "CONFIRM",
"url": "https://www.cisa.gov/uscert/ics/advisories/icsa-21-315-02"
}
]
},
"solution": [
{
"lang": "eng",
"value": "Users should contact GurumNetworks for assistance. contact@gurum.cc"
}
],
"source": {
"discovery": "EXTERNAL"
}
},
"nvd.nist.gov": {
"configurations": {
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"nodes": [
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{
"cpe23Uri": "cpe:2.3:a:gurum:gurumdds:*:*:*:*:*:*:*:*",
"cpe_name": [],
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"cve": {
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"ID": "CVE-2021-38423"
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"description": {
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},
"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 7.5,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "HIGH",
"userInteractionRequired": false
},
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.8,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
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"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
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"exploitabilityScore": 3.9,
"impactScore": 5.9
}
},
"lastModifiedDate": "2022-05-13T03:47Z",
"publishedDate": "2022-05-05T17:15Z"
}
}
}
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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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