FKIE_CVE-2022-34881
Vulnerability from fkie_nvd - Published: 2022-12-06 02:15 - Updated: 2026-06-17 04:51
Severity
3.3 (Low) - CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N
3.3 (Low) - CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N
3.3 (Low) - CVSS:3.1/
Summary
Generation of Error Message Containing Sensitive Information vulnerability in Hitachi JP1/Automatic Operation allows local users to gain sensitive information.
This issue affects JP1/Automatic Operation: from 10-00 through 10-54-03, from 11-00 before 11-51-09, from 12-00 before 12-60-01.
References
Impacted products
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Generation of Error Message Containing Sensitive Information vulnerability in Hitachi JP1/Automatic Operation allows local users to gain sensitive information.\n\nThis issue affects JP1/Automatic Operation: from 10-00 through 10-54-03, from 11-00 before 11-51-09, from 12-00 before 12-60-01."
},
{
"lang": "es",
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}
],
"id": "CVE-2022-34881",
"lastModified": "2026-06-17T04:51:05.557",
"metrics": {
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{
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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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