GHSA-F57C-F25X-CVFJ
Vulnerability from github – Published: 2022-05-13 01:31 – Updated: 2022-05-13 01:31
VLAI
Details
The application server component of TIBCO Software Inc.'s TIBCO Data Science for AWS, and TIBCO Spotfire Data Science contains a persistent cross-site scripting vulnerability that theoretically allows an authenticated user to gain access to all the capabilities of the web interface available to more privileged users. Affected releases are TIBCO Software Inc.'s TIBCO Data Science for AWS: versions up to and including 6.4.0, and TIBCO Spotfire Data Science: versions up to and including 6.4.0.
Severity
5.4 (Medium)
{
"affected": [],
"aliases": [
"CVE-2019-8987"
],
"database_specific": {
"cwe_ids": [
"CWE-79"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2019-03-26T18:29:00Z",
"severity": "MODERATE"
},
"details": "The application server component of TIBCO Software Inc.\u0027s TIBCO Data Science for AWS, and TIBCO Spotfire Data Science contains a persistent cross-site scripting vulnerability that theoretically allows an authenticated user to gain access to all the capabilities of the web interface available to more privileged users. Affected releases are TIBCO Software Inc.\u0027s TIBCO Data Science for AWS: versions up to and including 6.4.0, and TIBCO Spotfire Data Science: versions up to and including 6.4.0.",
"id": "GHSA-f57c-f25x-cvfj",
"modified": "2022-05-13T01:31:10Z",
"published": "2022-05-13T01:31:10Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2019-8987"
},
{
"type": "WEB",
"url": "https://www.tibco.com/support/advisories/2019/03/tibco-security-advisory-march-26-2019-tibco-spotfire-data-science-2019-8987"
},
{
"type": "WEB",
"url": "http://www.securityfocus.com/bid/107595"
},
{
"type": "WEB",
"url": "http://www.tibco.com/services/support/advisories"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.0/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N",
"type": "CVSS_V3"
}
]
}
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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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