GSD-2022-22510
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
Codesys Profinet in version V4.2.0.0 is prone to null pointer dereference that allows a denial of service (DoS) attack of an unauthenticated user via SNMP.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-22510",
"description": "Codesys Profinet in version V4.2.0.0 is prone to null pointer dereference that allows a denial of service (DoS) attack of an unauthenticated user via SNMP.",
"id": "GSD-2022-22510"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2022-22510"
],
"details": "Codesys Profinet in version V4.2.0.0 is prone to null pointer dereference that allows a denial of service (DoS) attack of an unauthenticated user via SNMP.",
"id": "GSD-2022-22510",
"modified": "2023-12-13T01:19:29.507805Z",
"schema_version": "1.4.0"
}
},
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"CVE_data_meta": {
"ASSIGNER": "info@cert.vde.com",
"DATE_PUBLIC": "2022-01-31T10:00:00.000Z",
"ID": "CVE-2022-22510",
"STATE": "PUBLIC",
"TITLE": "CODESYS: Null Pointer Dereference in CODESYS PROFINET stack"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
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"version": {
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"value": "This vulnerability was found internally."
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"description": {
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"value": "Codesys Profinet in version V4.2.0.0 is prone to null pointer dereference that allows a denial of service (DoS) attack of an unauthenticated user via SNMP."
}
]
},
"generator": {
"engine": "Vulnogram 0.0.9"
},
"impact": {
"cvss": {
"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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"references": {
"reference_data": [
{
"name": "https://customers.codesys.com/index.php?eID=dumpFile\u0026t=f\u0026f=17020\u0026token=9acf91a2b5e1719ff71a019e86c3e8e411bfd252\u0026download=",
"refsource": "CONFIRM",
"url": "https://customers.codesys.com/index.php?eID=dumpFile\u0026t=f\u0026f=17020\u0026token=9acf91a2b5e1719ff71a019e86c3e8e411bfd252\u0026download="
}
]
},
"solution": [
{
"lang": "eng",
"value": "Update to CODESYS PROFINET V4.2.1.0"
}
],
"source": {
"advisory": "Advisory 2022-01",
"discovery": "INTERNAL"
},
"work_around": [
{
"lang": "eng",
"value": "CODESYS GmbH recommends using the available software update to fix the vulnerability."
}
]
},
"nvd.nist.gov": {
"configurations": {
"CVE_data_version": "4.0",
"nodes": [
{
"children": [],
"cpe_match": [
{
"cpe23Uri": "cpe:2.3:a:codesys:profinet:4.2.0.0:*:*:*:*:*:*:*",
"cpe_name": [],
"vulnerable": true
}
],
"operator": "OR"
}
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},
"cve": {
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"ID": "CVE-2022-22510"
},
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"description": {
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"value": "Codesys Profinet in version V4.2.0.0 is prone to null pointer dereference that allows a denial of service (DoS) attack of an unauthenticated user via SNMP."
}
]
},
"problemtype": {
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"value": "CWE-476"
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},
"references": {
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"refsource": "CONFIRM",
"tags": [
"Vendor Advisory"
],
"url": "https://customers.codesys.com/index.php?eID=dumpFile\u0026t=f\u0026f=17020\u0026token=9acf91a2b5e1719ff71a019e86c3e8e411bfd252\u0026download="
}
]
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},
"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 5.0,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:N/I:N/A:P",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": false
},
"baseMetricV3": {
"cvssV3": {
"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"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6
}
},
"lastModifiedDate": "2022-02-04T21:45Z",
"publishedDate": "2022-02-02T13:15Z"
}
}
}
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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 |
|---|
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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