GSD-2022-0012
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
An improper link resolution before file access vulnerability exists in the Palo Alto Networks Cortex XDR agent on Windows platforms that enables a local user to delete arbitrary system files and impact the system integrity or cause a denial of service condition. This issue impacts: Cortex XDR agent 5.0 versions earlier than Cortex XDR agent 5.0.12; Cortex XDR agent 6.1 versions earlier than Cortex XDR agent 6.1.9; Cortex XDR agent 7.2 versions earlier than Cortex XDR agent 7.2.4; Cortex XDR agent 7.3 versions earlier than Cortex XDR agent 7.3.2.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-0012",
"description": "An improper link resolution before file access vulnerability exists in the Palo Alto Networks Cortex XDR agent on Windows platforms that enables a local user to delete arbitrary system files and impact the system integrity or cause a denial of service condition. This issue impacts: Cortex XDR agent 5.0 versions earlier than Cortex XDR agent 5.0.12; Cortex XDR agent 6.1 versions earlier than Cortex XDR agent 6.1.9; Cortex XDR agent 7.2 versions earlier than Cortex XDR agent 7.2.4; Cortex XDR agent 7.3 versions earlier than Cortex XDR agent 7.3.2.",
"id": "GSD-2022-0012"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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],
"details": "An improper link resolution before file access vulnerability exists in the Palo Alto Networks Cortex XDR agent on Windows platforms that enables a local user to delete arbitrary system files and impact the system integrity or cause a denial of service condition. This issue impacts: Cortex XDR agent 5.0 versions earlier than Cortex XDR agent 5.0.12; Cortex XDR agent 6.1 versions earlier than Cortex XDR agent 6.1.9; Cortex XDR agent 7.2 versions earlier than Cortex XDR agent 7.2.4; Cortex XDR agent 7.3 versions earlier than Cortex XDR agent 7.3.2.",
"id": "GSD-2022-0012",
"modified": "2023-12-13T01:19:11.082683Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
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"DATE_PUBLIC": "2022-01-12T17:00:00.000Z",
"ID": "CVE-2022-0012",
"STATE": "PUBLIC",
"TITLE": "Cortex XDR Agent: Local Arbitrary File Deletion Vulnerability"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
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{
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"version": {
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},
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},
{
"platform": "Windows",
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"version_name": "7.6",
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}
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},
"vendor_name": "Palo Alto Networks"
}
]
}
},
"credit": [
{
"lang": "eng",
"value": "Palo Alto Networks thanks Chris Au for discovering and reporting this issue."
}
],
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"value": "An improper link resolution before file access vulnerability exists in the Palo Alto Networks Cortex XDR agent on Windows platforms that enables a local user to delete arbitrary system files and impact the system integrity or cause a denial of service condition. This issue impacts: Cortex XDR agent 5.0 versions earlier than Cortex XDR agent 5.0.12; Cortex XDR agent 6.1 versions earlier than Cortex XDR agent 6.1.9; Cortex XDR agent 7.2 versions earlier than Cortex XDR agent 7.2.4; Cortex XDR agent 7.3 versions earlier than Cortex XDR agent 7.3.2."
}
]
},
"exploit": [
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"lang": "eng",
"value": "Palo Alto Networks is not aware of any malicious exploitation of this issue.\n"
}
],
"generator": {
"engine": "Vulnogram 0.0.9"
},
"impact": {
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"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 6.1,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:H",
"version": "3.1"
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"value": "CWE-59 Improper Link Resolution Before File Access (\u0027Link Following\u0027)"
}
]
}
]
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"refsource": "MISC",
"url": "https://security.paloaltonetworks.com/CVE-2022-0012"
}
]
},
"solution": [
{
"lang": "eng",
"value": "This issue is fixed in Cortex XDR agent 5.0.12, Cortex XDR agent 6.1.9, Cortex XDR agent 7.2.4, Cortex XDR agent 7.3.2, and all later Cortex XDR agent versions."
}
],
"source": {
"defect": [
"CPATR-13408"
],
"discovery": "EXTERNAL"
},
"timeline": [
{
"lang": "eng",
"time": "2022-01-12T17:00:00.000Z",
"value": "Initial publication"
}
],
"work_around": [
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"lang": "eng",
"value": "There is no known workaround available for this issue."
}
],
"x_advisoryEoL": false,
"x_affectedList": [
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"Cortex XDR Agent 7.2",
"Cortex XDR Agent 7.1",
"Cortex XDR Agent 7.0",
"Cortex XDR Agent 6.1",
"Cortex XDR Agent 5.0"
]
},
"nvd.nist.gov": {
"configurations": {
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"nodes": [
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"versionEndExcluding": "7.3.2",
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"operator": "OR"
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"ID": "CVE-2022-0012"
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"description": {
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"tags": [
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"impact": {
"baseMetricV2": {
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"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "LOCAL",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 3.6,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:L/AC:L/Au:N/C:N/I:P/A:P",
"version": "2.0"
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"obtainAllPrivilege": false,
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"severity": "LOW",
"userInteractionRequired": false
},
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},
"lastModifiedDate": "2022-01-19T19:18Z",
"publishedDate": "2022-01-12T18:15Z"
}
}
}
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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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