CVE-2021-2138 (GCVE-0-2021-2138)
Vulnerability from cvelistv5 – Published: 2021-03-03 05:50 – Updated: 2024-09-26 18:12
VLAI?
Summary
Vulnerability in the Oracle Cloud Infrastructure Data Science Notebook Sessions. Easily exploitable vulnerability allows low privileged attacker with access to the physical communication segment attached to the hardware where the Oracle Cloud Infrastructure Data Science Notebook Sessions executes to compromise Oracle Cloud Infrastructure Data Science Notebook Sessions. Successful attacks of this vulnerability can result in unauthorized update, insert or delete access to some of Oracle Cloud Infrastructure Data Science Notebook Sessions accessible data as well as unauthorized read access to a subset of Oracle Cloud Infrastructure Data Science Notebook Sessions accessible data. All affected customers were notified of CVE-2021-2138 by Oracle. CVSS 3.1 Base Score 4.6 (Confidentiality and Integrity impacts). CVSS Vector: (CVSS:3.1/AV:A/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:N)
Severity ?
4.6 (Medium)
CWE
- Easily exploitable vulnerability allows low privileged attacker with access to the physical communication segment attached to the hardware where the Oracle Cloud Infrastructure Data Science Notebook Sessions executes to compromise Oracle Cloud Infrastructure Data Science Notebook Sessions. Successful attacks of this vulnerability can resultin unauthorized update, insert or delete access to some of Oracle Cloud Infrastructure Data Science Notebook Sessions accessible data as well as unauthorized read access to a subset of Oracle Cloud Infrastructure Data Science Notebook Sessions accessible data. All affected customers were notified of CVE-2021-2138 by Oracle.
Assigner
References
| URL | Tags | ||||
|---|---|---|---|---|---|
|
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Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| Oracle Corporation | Oracle Cloud Infrastructure Data Science Notebook Sessions |
Affected:
*
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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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