GSD-2019-18376
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
A CSRF token disclosure vulnerability allows a remote attacker, with access to an authenticated Management Center (MC) user's web browser history or a network device that intercepts/logs traffic to MC, to obtain CSRF tokens and use them to perform CSRF attacks against MC.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2019-18376",
"description": "A CSRF token disclosure vulnerability allows a remote attacker, with access to an authenticated Management Center (MC) user\u0027s web browser history or a network device that intercepts/logs traffic to MC, to obtain CSRF tokens and use them to perform CSRF attacks against MC.",
"id": "GSD-2019-18376"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2019-18376"
],
"details": "A CSRF token disclosure vulnerability allows a remote attacker, with access to an authenticated Management Center (MC) user\u0027s web browser history or a network device that intercepts/logs traffic to MC, to obtain CSRF tokens and use them to perform CSRF attacks against MC.",
"id": "GSD-2019-18376",
"modified": "2023-12-13T01:23:50.279182Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
"cve.org": {
"CVE_data_meta": {
"ASSIGNER": "secure@symantec.com",
"ID": "CVE-2019-18376",
"STATE": "PUBLIC"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "Symantec Management Center (MC)",
"version": {
"version_data": [
{
"version_value": "MC prior to 2.4.1.1"
}
]
}
}
]
},
"vendor_name": "n/a"
}
]
}
},
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "eng",
"value": "A CSRF token disclosure vulnerability allows a remote attacker, with access to an authenticated Management Center (MC) user\u0027s web browser history or a network device that intercepts/logs traffic to MC, to obtain CSRF tokens and use them to perform CSRF attacks against MC."
}
]
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "Information disclosure"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://support.broadcom.com/security-advisory/security-advisory-detail.html?notificationId=SYMSA1751",
"refsource": "MISC",
"url": "https://support.broadcom.com/security-advisory/security-advisory-detail.html?notificationId=SYMSA1751"
}
]
}
},
"nvd.nist.gov": {
"configurations": {
"CVE_data_version": "4.0",
"nodes": [
{
"children": [],
"cpe_match": [
{
"cpe23Uri": "cpe:2.3:a:symantec:management_center:2.2:*:*:*:*:*:*:*",
"cpe_name": [],
"vulnerable": true
},
{
"cpe23Uri": "cpe:2.3:a:symantec:management_center:2.3:*:*:*:*:*:*:*",
"cpe_name": [],
"vulnerable": true
},
{
"cpe23Uri": "cpe:2.3:a:symantec:management_center:2.4:*:*:*:*:*:*:*",
"cpe_name": [],
"vulnerable": true
}
],
"operator": "OR"
}
]
},
"cve": {
"CVE_data_meta": {
"ASSIGNER": "secure@symantec.com",
"ID": "CVE-2019-18376"
},
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "en",
"value": "A CSRF token disclosure vulnerability allows a remote attacker, with access to an authenticated Management Center (MC) user\u0027s web browser history or a network device that intercepts/logs traffic to MC, to obtain CSRF tokens and use them to perform CSRF attacks against MC."
}
]
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "en",
"value": "CWE-352"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://support.broadcom.com/security-advisory/security-advisory-detail.html?notificationId=SYMSA1751",
"refsource": "MISC",
"tags": [
"Vendor Advisory"
],
"url": "https://support.broadcom.com/security-advisory/security-advisory-detail.html?notificationId=SYMSA1751"
}
]
}
},
"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 4.3,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:M/Au:N/C:P/I:N/A:N",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": false
},
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.9,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.2,
"impactScore": 3.6
}
},
"lastModifiedDate": "2021-07-21T11:39Z",
"publishedDate": "2020-04-10T00:15Z"
}
}
}
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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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