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EUVD-2026-160022
European Vulnerability Database identifier assigned by ENISAReserved
2026-10-02 06:37
Assigner
ENISA
Alias of
a CVE record, shown under related vulnerabilities.
This identifier carries no description, severity or references of its own:
they belong to that CVE.
{
"assigner": "ENISA",
"date_reserved": "2026-10-02T06:37:50.937738+00:00",
"id": "EUVD-2026-160022"
}
CVE-2024-20282 (GCVE-0-2024-20282)
Vulnerability from cvelistv5 – Published: 2024-04-03 16:20 – Updated: 2024-08-27 13:39
VLAI
EPSS
VEX
Summary
A vulnerability in Cisco Nexus Dashboard could allow an authenticated, local attacker with valid rescue-user credentials to elevate privileges to root on an affected device.
This vulnerability is due to insufficient protections for a sensitive access token. An attacker could exploit this vulnerability by using this token to access resources within the device infrastructure. A successful exploit could allow an attacker to gain root access to the filesystem or hosted containers on an affected device.
Severity
6 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-04-03 19:07 UTC
CWE
- CWE-269 - Improper Privilege Management
Assigner
References
1 reference
Impacted products
2 products
| Vendor | Product | Version | |
|---|---|---|---|
| Cisco | Cisco Nexus Dashboard |
Affected:
1.1(0c)
Affected: 1.1(0d) Affected: 1.1(2h) Affected: 1.1(2i) Affected: 1.1(3c) Affected: 1.1(3d) Affected: 1.1(3e) Affected: 1.1(3f) Affected: 2.0(1b) Affected: 2.0(1d) Affected: 2.0(2g) Affected: 2.0(2h) Affected: 2.1(1d) Affected: 2.1(1e) Affected: 2.1(2d) Affected: 2.1(2f) Affected: 2.2(1e) Affected: 2.2(1h) Affected: 2.2(2d) Affected: 2.3(1c) Affected: 2.3(2b) Affected: 2.3(2c) Affected: 2.3(2d) Affected: 2.3(2e) Affected: 3.0(1f) Affected: 3.0(1i) |
|
| cisco | nexus_dashboard |
Affected:
1.1(0c)
Affected: 1.1(0d) Affected: 1.1(2h) Affected: 1.1(2i) Affected: 1.1(3c) Affected: 1.1(3d) Affected: 1.1(3e) Affected: 1.1(3f) Affected: 2.0(1b) Affected: 2.0(1d) Affected: 2.0(2g) Affected: 2.0(2h) Affected: 2.1(1d) Affected: 2.1(1e) Affected: 2.1(2d) Affected: 2.1(2f) Affected: 2.2(1e) Affected: 2.2(1h) Affected: 2.2(2d) Affected: 2.3(1c) Affected: 2.3(2b) Affected: 2.3(2c) Affected: 2.3(2d) Affected: 2.3(2e) Affected: 3.0(1f) Affected: 3.0(1i) cpe:2.3:a:cisco:nexus_dashboard:*:*:*:*:*:*:*:* |
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}
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"attackVector": "LOCAL",
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"baseScore": 6,
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Trend slope:
-
(linear fit over daily sighting counts)
Show additional events:
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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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