GSD-2016-6556
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
OpenNMS version 18.0.1 and prior are vulnerable to a stored XSS issue due to insufficient filtering of SNMP agent supplied data. By creating a malicious SNMP 'sysName' or 'sysContact' response, an attacker can store an XSS payload which will trigger when a user of the web UI views the data. This issue was fixed in version 18.0.2, released on September 20, 2016.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2016-6556",
"description": "OpenNMS version 18.0.1 and prior are vulnerable to a stored XSS issue due to insufficient filtering of SNMP agent supplied data. By creating a malicious SNMP \u0027sysName\u0027 or \u0027sysContact\u0027 response, an attacker can store an XSS payload which will trigger when a user of the web UI views the data. This issue was fixed in version 18.0.2, released on September 20, 2016.",
"id": "GSD-2016-6556"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2016-6556"
],
"details": "OpenNMS version 18.0.1 and prior are vulnerable to a stored XSS issue due to insufficient filtering of SNMP agent supplied data. By creating a malicious SNMP \u0027sysName\u0027 or \u0027sysContact\u0027 response, an attacker can store an XSS payload which will trigger when a user of the web UI views the data. This issue was fixed in version 18.0.2, released on September 20, 2016.",
"id": "GSD-2016-6556",
"modified": "2023-12-13T01:21:23.646112Z",
"schema_version": "1.4.0"
}
},
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"ASSIGNER": "cve@rapid7.com",
"DATE_PUBLIC": "2016-09-14T18:18:00.000Z",
"ID": "CVE-2016-6556",
"STATE": "PUBLIC",
"TITLE": "OpenNMS Stored XSS via SNMP Agent Data"
},
"affects": {
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}
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},
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}
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"credit": [
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"lang": "eng",
"value": "This issue was discovered by Matthew Kienow and disclosure was coordinated by Rapid7."
}
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"description": {
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"value": "OpenNMS version 18.0.1 and prior are vulnerable to a stored XSS issue due to insufficient filtering of SNMP agent supplied data. By creating a malicious SNMP \u0027sysName\u0027 or \u0027sysContact\u0027 response, an attacker can store an XSS payload which will trigger when a user of the web UI views the data. This issue was fixed in version 18.0.2, released on September 20, 2016."
}
]
},
"generator": {
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},
"impact": {
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"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.1,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:L/A:N",
"version": "3.1"
}
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "CWE-79 Cross-site Scripting (XSS)"
}
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}
]
},
"references": {
"reference_data": [
{
"name": "https://www.rapid7.com/blog/post/2016/11/15/r7-2016-24-opennms-stored-xss-via-snmp-cve-2016-6555-cve-2016-6556/",
"refsource": "MISC",
"url": "https://www.rapid7.com/blog/post/2016/11/15/r7-2016-24-opennms-stored-xss-via-snmp-cve-2016-6555-cve-2016-6556/"
},
{
"name": "https://github.com/OpenNMS/opennms/pull/1019",
"refsource": "MISC",
"url": "https://github.com/OpenNMS/opennms/pull/1019"
}
]
},
"source": {
"discovery": "UNKNOWN"
}
},
"nvd.nist.gov": {
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"nodes": [
{
"children": [],
"cpe_match": [
{
"cpe23Uri": "cpe:2.3:a:opennms:opennms:*:*:*:*:*:*:*:*",
"cpe_name": [],
"versionEndExcluding": "18.0.2-1",
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"description": {
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"value": "OpenNMS version 18.0.1 and prior are vulnerable to a stored XSS issue due to insufficient filtering of SNMP agent supplied data. By creating a malicious SNMP \u0027sysName\u0027 or \u0027sysContact\u0027 response, an attacker can store an XSS payload which will trigger when a user of the web UI views the data. This issue was fixed in version 18.0.2, released on September 20, 2016."
}
]
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"problemtype": {
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"references": {
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{
"name": "https://www.rapid7.com/blog/post/2016/11/15/r7-2016-24-opennms-stored-xss-via-snmp-cve-2016-6555-cve-2016-6556/",
"refsource": "MISC",
"tags": [
"Exploit",
"Third Party Advisory"
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"url": "https://www.rapid7.com/blog/post/2016/11/15/r7-2016-24-opennms-stored-xss-via-snmp-cve-2016-6555-cve-2016-6556/"
},
{
"name": "https://github.com/OpenNMS/opennms/pull/1019",
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}
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},
"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 4.3,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:N/C:N/I:P/A:N",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": true
},
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 6.1,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "CHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 2.7
}
},
"lastModifiedDate": "2021-10-01T17:07Z",
"publishedDate": "2021-09-24T21:15Z"
}
}
}
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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 |
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Nomenclature
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- 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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