GSD-2022-47925
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
The validate JSON endpoint of the Secvisogram csaf-validator-service in versions < 0.1.0 processes tests with unexpected names. This insufficient input validation of requests by an unauthenticated remote user might lead to a partial DoS of the service. Only the request of the attacker is affected by this vulnerability.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-47925",
"id": "GSD-2022-47925"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2022-47925"
],
"details": "The validate JSON endpoint of the Secvisogram csaf-validator-service in versions \u003c 0.1.0 processes tests with unexpected names. This insufficient input validation of requests by an unauthenticated remote user might lead to a partial DoS of the service. Only the request of the attacker is affected by this vulnerability.",
"id": "GSD-2022-47925",
"modified": "2023-12-13T01:19:35.853142Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
"cve.org": {
"CVE_data_meta": {
"ASSIGNER": "info@cert.vde.com",
"ID": "CVE-2022-47925",
"STATE": "PUBLIC"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "csaf-validator-service",
"version": {
"version_data": [
{
"version_affected": "\u003c",
"version_name": "0.0.0",
"version_value": "0.1.0"
}
]
}
}
]
},
"vendor_name": "Secvisogram"
}
]
}
},
"credits": [
{
"lang": "en",
"value": "Damian Pfammatter from Cyber-Defense Campus"
}
],
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "eng",
"value": "The validate JSON endpoint of the Secvisogram csaf-validator-service in versions \u003c 0.1.0 processes tests with unexpected names. This insufficient input validation of requests by an unauthenticated remote user might lead to a partial DoS of the service. Only the request of the attacker is affected by this vulnerability."
}
]
},
"generator": {
"engine": "Vulnogram 0.1.0-dev"
},
"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"
}
]
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"cweId": "CWE-20",
"lang": "eng",
"value": "CWE-20 Improper Input Validation"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://wid.cert-bund.de/.well-known/csaf/white/2022/bsi-2022-0004.json",
"refsource": "MISC",
"url": "https://wid.cert-bund.de/.well-known/csaf/white/2022/bsi-2022-0004.json"
}
]
},
"source": {
"defect": [
"CERT@VDE#64336"
],
"discovery": "EXTERNAL"
}
},
"nvd.nist.gov": {
"cve": {
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:csaf-validator-lib_project:csaf-validator-lib:*:*:*:*:*:*:*:*",
"matchCriteriaId": "41D1CDBF-87DF-4D7B-86CD-AE3506F7B997",
"versionEndExcluding": "0.1.0",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "The validate JSON endpoint of the Secvisogram csaf-validator-service in versions \u003c 0.1.0 processes tests with unexpected names. This insufficient input validation of requests by an unauthenticated remote user might lead to a partial DoS of the service. Only the request of the attacker is affected by this vulnerability."
}
],
"id": "CVE-2022-47925",
"lastModified": "2024-02-15T11:15:08.203",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"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,
"source": "info@cert.vde.com",
"type": "Primary"
},
{
"cvssData": {
"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,
"source": "nvd@nist.gov",
"type": "Secondary"
}
]
},
"published": "2023-03-27T14:15:07.767",
"references": [
{
"source": "info@cert.vde.com",
"tags": [
"Third Party Advisory"
],
"url": "https://wid.cert-bund.de/.well-known/csaf/white/2022/bsi-2022-0004.json"
}
],
"sourceIdentifier": "info@cert.vde.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-20"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
},
{
"description": [
{
"lang": "en",
"value": "CWE-20"
}
],
"source": "info@cert.vde.com",
"type": "Secondary"
}
]
}
}
}
}
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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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