CVE-2022-42973 (GCVE-0-2022-42973)
Vulnerability from cvelistv5 – Published: 2023-02-01 00:00 – Updated: 2025-02-05 20:06
VLAI
EPSS
VEX
Summary
A CWE-798: Use of Hard-coded Credentials vulnerability exists that could cause local privilege escalation when local attacker connects to the database. Affected Products: APC Easy UPS Online Monitoring Software (Windows 7, 10, 11 & Windows Server 2016, 2019, 2022 - Versions prior to V2.5-GA), APC Easy UPS Online Monitoring Software (Windows 11, Windows Server 2019, 2022 - Versions prior to V2.5-GA-01-22261), Schneider Electric Easy UPS Online Monitoring Software (Windows 7, 10, 11 & Windows Server 2016, 2019, 2022 - Versions prior to V2.5-GS), Schneider Electric Easy UPS Online Monitoring Software (Windows 11, Windows Server 2019, 2022 - Versions prior to V2.5-GS-01-22261)
Severity
7.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-02-05 19:52 UTC
CWE
- CWE-798 - Use of Hard-coded Credentials
Assigner
References
1 reference
Impacted products
4 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Schneider Electric | APC Easy UPS Online Monitoring Software |
Affected:
Windows 7, 10, 11 Windows Server 2016, 2019, 2022 , < V2.5-GA
(custom)
|
guessed | |
| Schneider Electric | APC Easy UPS Online Monitoring Software |
Affected:
(Windows 11, Windows Server 2019, 2022 , < V2.5-GA-01-22261
(custom)
|
guessed | |
| Schneider Electric | Schneider Electric Easy UPS Online Monitoring Software |
Affected:
Windows 7, 10, 11 Windows Server 2016, 2019, 2022 , < V2.5-GS
(custom)
|
guessed | |
| Schneider Electric | Schneider Electric Easy UPS Online Monitoring Software |
Affected:
Windows 11, Windows Server 2019, 2022 , < V2.5-GS-01-22261
(custom)
|
guessed |
Date Public
2022-12-13 00:00
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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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