VAR-201909-0073
Vulnerability from variot - Updated: 2024-11-23 22:44In BIG-IQ 6.0.0-6.1.0, services for stats do not require authentication nor do they implement any form of Transport Layer Security (TLS). BIG-IQ Contains an authentication vulnerability.Information may be obtained and information may be altered. F5 BIG-IQ Centralized Management is a set of software-based cloud management solutions from F5 Corporation of the United States. The solution supports the deployment of application delivery and network services across public and private clouds, traditional data centers and hybrid environments. A security vulnerability exists in F5 BIG-IQ Centralized Management versions 6.0.0 through 6.1.0. An attacker could exploit this vulnerability to gain full access to the statistics database on the BIG-IQ system.
Successfully exploiting this issue may allow an malicious user to bypass certain security restrictions and perform unauthorized actions
Show details on source website{
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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.
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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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