GHSA-XQ29-5VXX-327W
Vulnerability from github – Published: 2022-05-13 01:04 – Updated: 2022-05-13 01:04
VLAI
Details
The application server component of TIBCO Software Inc.'s TIBCO Data Science for AWS, and TIBCO Spotfire Data Science contains a vulnerability that theoretically enables a user to spoof their account to look like a different user in the affected system. 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
4.3 (Medium)
{
"affected": [],
"aliases": [
"CVE-2019-8989"
],
"database_specific": {
"cwe_ids": [],
"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 vulnerability that theoretically enables a user to spoof their account to look like a different user in the affected system. 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-xq29-5vxx-327w",
"modified": "2022-05-13T01:04:24Z",
"published": "2022-05-13T01:04:24Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2019-8989"
},
{
"type": "WEB",
"url": "https://www.tibco.com/support/advisories/2019/03/tibco-security-advisory-march-26-2019-tibco-spotfire-data-science-2019-8989"
},
{
"type": "WEB",
"url": "http://www.securityfocus.com/bid/107608"
},
{
"type": "WEB",
"url": "http://www.tibco.com/services/support/advisories"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/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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