CVE-2024-0130 (GCVE-0-2024-0130)
Vulnerability from cvelistv5 – Published: 2024-12-06 19:48 – Updated: 2024-12-10 16:59
VLAI
EPSS
VEX
Summary
NVIDIA UFM Enterprise, UFM Appliance, and UFM CyberAI contain a vulnerability where an attacker can cause an improper authentication issue by sending a malformed request through the Ethernet management interface. A successful exploit of this vulnerability might lead to escalation of privileges, data tampering, denial of service, and information disclosure.
Severity
8.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-12-09 22:09 UTC
CWE
- CWE-287 - Improper Authentication
Assigner
References
1 reference
Impacted products
8 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| NVIDIA | UFM Enterprise GA |
Affected:
6.15.x, 6.16.x, 6.17.x
|
guessed | |
| NVIDIA | UFM Enterprise LTS23 |
Affected:
6.15.x LTS prior to 6.15.6-4 LTS
|
guessed | |
| NVIDIA | UFM Enterprise Appliance GA |
Affected:
1.6.x, 1.7.x, 1.8.x
|
guessed | |
| NVIDIA | UFM Enterprise Appliance LTS23 |
Affected:
1.6.x LTS prior to 1.6.6-1 LTS
|
guessed | |
| NVIDIA | UFM SDN Appliance GA |
Affected:
4.14.x, 4.15.x, 4.16.x
|
guessed | |
| NVIDIA | UFM SDN Appliance LTS23 |
Affected:
4.14.x LTS prior to 4.14.6.4 LTS
|
guessed | |
| NVIDIA | UFM CyberAI GA |
Affected:
2.6.x, 2.7.x, 2.8.x
|
guessed | |
| NVIDIA | UFM CyberAI LTS23 |
Affected:
2.6.1-3 LTS
|
guessed |
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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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