CVE-2022-30997 (GCVE-0-2022-30997)
Vulnerability from cvelistv5 – Published: 2022-06-28 10:06 – Updated: 2024-08-03 07:03
VLAI
EPSS
VEX
Summary
Use of hard-coded credentials vulnerability exists in STARDOM FCN Controller and FCJ Controller R4.10 to R4.31, which may allow an attacker with an administrative privilege to read/change configuration settings or update the controller with tampered firmware.
Severity
6.3 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-07-26 19:56 UTC
CWE
- Use of Hard-coded Credentials
- CWE-798 - Use of Hard-coded Credentials
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://web-material3.yokogawa.com/1/32885/files/… | x_refsource_MISC |
| https://web-material3.yokogawa.com/19/32885/files… | x_refsource_MISC |
| https://jvn.jp/vu/JVNVU95452299/index.html | x_refsource_MISC |
| https://www.cisa.gov/uscert/ics/advisories/icsa-2… | x_refsource_MISC |
Impacted products
3 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Yokogawa Electric Corporation | STARDOM Controller |
Affected:
STARDOM FCN Controller and FCJ Controller R4.10 to R4.31
|
guessed | |
| yokogawa | stardom_fcj_firmware |
Affected:
r4.10 , ≤ r4.31
(custom)
cpe:2.3:o:yokogawa:stardom_fcj_firmware:r4.10:*:*:*:*:*:*:* |
||
| yokogawa | stardom_fcn_firmware |
Affected:
r4.10 , ≤ r4.31
(custom)
cpe:2.3:o:yokogawa:stardom_fcn_firmware:r4.10:*:*:*:*:*:*:* |
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"source": "Red Hat CSAF VEX",
"status": "final",
"title": "CVE-2022-30997",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2022/cve-2022-30997.json",
"version": "3"
},
"vulnrichment": {
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"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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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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