GHSA-6QRF-F2G2-Q6W9
Vulnerability from github – Published: 2022-06-03 00:01 – Updated: 2022-06-12 00:00
VLAI
Details
Specific BD Pyxis™ products were installed with default credentials and may presently still operate with these credentials. There may be scenarios where BD Pyxis™ products are installed with the same default local operating system credentials or domain-joined server(s) credentials that may be shared across product types. If exploited, threat actors may be able to gain privileged access to the underlying file system and could potentially exploit or gain access to ePHI or other sensitive information.
Severity
8.8 (High)
{
"affected": [],
"aliases": [
"CVE-2022-22767"
],
"database_specific": {
"cwe_ids": [
"CWE-522"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2022-06-02T14:15:00Z",
"severity": "HIGH"
},
"details": "Specific BD Pyxis\u2122 products were installed with default credentials and may presently still operate with these credentials. There may be scenarios where BD Pyxis\u2122 products are installed with the same default local operating system credentials or domain-joined server(s) credentials that may be shared across product types. If exploited, threat actors may be able to gain privileged access to the underlying file system and could potentially exploit or gain access to ePHI or other sensitive information.",
"id": "GHSA-6qrf-f2g2-q6w9",
"modified": "2022-06-12T00:00:47Z",
"published": "2022-06-03T00:01:02Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-22767"
},
{
"type": "WEB",
"url": "https://cybersecurity.bd.com/bulletins-and-patches/bd-pyxis-products-default-credentials"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
]
}
Loading…
Loading…
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.
Loading…
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.
Loading…
Loading…