GHSA-JFJ7-7VP9-R7CF
Vulnerability from github – Published: 2022-11-05 12:00 – Updated: 2022-11-07 19:00
VLAI
Details
BD Totalys MultiProcessor, versions 1.70 and earlier, contain hardcoded credentials. If exploited, threat actors may be able to access, modify or delete sensitive information, including electronic protected health information (ePHI), protected health information (PHI) and personally identifiable information (PII). Customers using BD Totalys MultiProcessor version 1.70 with Microsoft Windows 10 have additional operating system hardening configurations which increase the attack complexity required to exploit this vulnerability.
Severity
7.8 (High)
{
"affected": [],
"aliases": [
"CVE-2022-40263"
],
"database_specific": {
"cwe_ids": [
"CWE-798"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2022-11-04T19:15:00Z",
"severity": "HIGH"
},
"details": "BD Totalys MultiProcessor, versions 1.70 and earlier, contain hardcoded credentials. If exploited, threat actors may be able to access, modify or delete sensitive information, including electronic protected health information (ePHI), protected health information (PHI) and personally identifiable information (PII). Customers using BD Totalys MultiProcessor version 1.70 with Microsoft Windows 10 have additional operating system hardening configurations which increase the attack complexity required to exploit this vulnerability.",
"id": "GHSA-jfj7-7vp9-r7cf",
"modified": "2022-11-07T19:00:17Z",
"published": "2022-11-05T12:00:22Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-40263"
},
{
"type": "WEB",
"url": "https://www.bd.com/en-us/about-bd/cybersecurity/bulletin/bd-totalys-multiprocessor-hardcoded-credentials"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"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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