GSD-2018-0011
Vulnerability from gsd - Updated: 2023-12-13 01:22Details
A reflected cross site scripting (XSS) vulnerability in Junos Space may potentially allow a remote authenticated user to inject web script or HTML and steal sensitive data and credentials from a session, and to perform administrative actions on the Junos Space network management device.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2018-0011",
"description": "A reflected cross site scripting (XSS) vulnerability in Junos Space may potentially allow a remote authenticated user to inject web script or HTML and steal sensitive data and credentials from a session, and to perform administrative actions on the Junos Space network management device.",
"id": "GSD-2018-0011"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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"id": "GSD-2018-0011",
"modified": "2023-12-13T01:22:24.606421Z",
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"DATE_PUBLIC": "2018-01-10T17:00:00.000Z",
"ID": "CVE-2018-0011",
"STATE": "PUBLIC",
"TITLE": "Junos Space: Reflected XSS vulnerability in Junos Space management interface"
},
"affects": {
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"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "Junos Space",
"version": {
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{
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}
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},
"exploit": [
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"value": "Juniper SIRT is not aware of any malicious exploitation of this vulnerability."
}
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"impact": {
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"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.4,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "CHANGED",
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},
{
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"solution": [
{
"lang": "eng",
"value": "The following software releases have been updated to resolve this specific issue: Junos Space 17.2R1 and all subsequent releases."
}
],
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"defect": [
"1322467"
],
"discovery": "INTERNAL"
},
"work_around": [
{
"lang": "eng",
"value": "Use access lists or firewall filters to limit access to the device only from trusted hosts and administrators."
}
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},
"nvd.nist.gov": {
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"impact": {
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"accessVector": "NETWORK",
"authentication": "SINGLE",
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"baseScore": 3.5,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:S/C:N/I:P/A:N",
"version": "2.0"
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"exploitabilityScore": 6.8,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "LOW",
"userInteractionRequired": true
},
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"privilegesRequired": "LOW",
"scope": "CHANGED",
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"vectorString": "CVSS:3.0/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N",
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"exploitabilityScore": 2.3,
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},
"lastModifiedDate": "2019-10-09T23:30Z",
"publishedDate": "2018-01-10T22:29Z"
}
}
}
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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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