GSD-2022-1704
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
Due to an XML external entity reference, the software parses XML in the backup/restore functionality without XML security flags, which may lead to a XXE attack while restoring the backup.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-1704",
"description": "Due to an XML external entity reference, the software parses XML in the backup/restore functionality without XML security flags, which may lead to a XXE attack while restoring the backup.",
"id": "GSD-2022-1704"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2022-1704"
],
"details": "Due to an XML external entity reference, the software parses XML in the backup/restore functionality without XML security flags, which may lead to a XXE attack while restoring the backup.",
"id": "GSD-2022-1704",
"modified": "2023-12-13T01:19:28.529294Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
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"CVE_data_meta": {
"ASSIGNER": "ics-cert@hq.dhs.gov",
"DATE_PUBLIC": "2022-07-26T17:00:00.000Z",
"ID": "CVE-2022-1704",
"STATE": "PUBLIC",
"TITLE": "Inductive Automation Ignition"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "Ignition",
"version": {
"version_data": [
{
"version_affected": "\u003c=",
"version_name": "8.1",
"version_value": "8.1.7"
},
{
"version_affected": "\u003c",
"version_name": "All",
"version_value": "7.9.21"
}
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}
]
},
"vendor_name": "Inductive Automation"
}
]
}
},
"credit": [
{
"lang": "eng",
"value": "Keval Shah reported this vulnerability to CISA"
}
],
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
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"lang": "eng",
"value": "Due to an XML external entity reference, the software parses XML in the backup/restore functionality without XML security flags, which may lead to a XXE attack while restoring the backup."
}
]
},
"generator": {
"engine": "Vulnogram 0.0.9"
},
"impact": {
"cvss": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "LOW",
"baseScore": 7.6,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "HIGH",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:C/C:H/I:N/A:L",
"version": "3.1"
}
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "CWE-611 Improper Restriction of XML External Entity Reference (\u0027XXE\u0027)"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://www.cisa.gov/uscert/ics/advisories/icsa-22-207-01",
"refsource": "MISC",
"url": "https://www.cisa.gov/uscert/ics/advisories/icsa-22-207-01"
}
]
},
"solution": [
{
"lang": "eng",
"value": "Inductive Automation recommends users upgrade the Ignition software to the latest version:\n\nInductive Automation Ignition: Version 8.1.9 or later\nInductive Automation Ignition: Version 7.9.21 or later"
}
],
"source": {
"advisory": "ICSA-22-207-01",
"discovery": "EXTERNAL"
}
},
"nvd.nist.gov": {
"configurations": {
"CVE_data_version": "4.0",
"nodes": [
{
"children": [],
"cpe_match": [
{
"cpe23Uri": "cpe:2.3:a:inductiveautomation:ignition:*:*:*:*:*:*:*:*",
"cpe_name": [],
"versionEndExcluding": "7.9.21",
"versionStartIncluding": "7.9.0",
"vulnerable": true
},
{
"cpe23Uri": "cpe:2.3:a:inductiveautomation:ignition:*:*:*:*:*:*:*:*",
"cpe_name": [],
"versionEndExcluding": "8.1.8",
"versionStartIncluding": "8.1.0",
"vulnerable": true
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"cve": {
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"ID": "CVE-2022-1704"
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"description": {
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}
]
},
"problemtype": {
"problemtype_data": [
{
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]
}
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},
"references": {
"reference_data": [
{
"name": "https://www.cisa.gov/uscert/ics/advisories/icsa-22-207-01",
"refsource": "MISC",
"tags": [
"Third Party Advisory",
"US Government Resource"
],
"url": "https://www.cisa.gov/uscert/ics/advisories/icsa-22-207-01"
}
]
}
},
"impact": {
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.8,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 5.9
}
},
"lastModifiedDate": "2022-08-11T13:42Z",
"publishedDate": "2022-08-05T16:15Z"
}
}
}
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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.
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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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