VAR-201606-0031
Vulnerability from variot - Updated: 2025-04-13 23:14The iControl REST service in F5 BIG-IP LTM, AAM, AFM, Analytics, APM, ASM, Link Controller, and PEM 11.5.x before 11.5.4, 11.6.x before 11.6.1, and 12.x before 12.0.0 HF3; BIG-IP DNS 12.x before 12.0.0 HF3; BIG-IP GTM 11.5.x before 11.5.4 and 11.6.x before 11.6.1; BIG-IQ Cloud and Security 4.0.0 through 4.5.0; BIG-IQ Device 4.2.0 through 4.5.0; BIG-IQ ADC 4.5.0; BIG-IQ Centralized Management 4.6.0; and BIG-IQ Cloud and Orchestration 1.0.0 allows remote authenticated administrators to obtain sensitive information via unspecified vectors. plural F5 Product iControl REST The service contains a vulnerability that allows important information to be obtained.By a remotely authenticated administrator, Important information may be obtained. Multiple F5 Networks Products are prone to an information-disclosure vulnerability. Attackers can exploit this issue to obtain sensitive information. Information obtained may lead to further attacks. F5 BIG-IP LTM, etc. LTM is a local traffic manager; BIG-IQ is a software-based cloud management solution. The solution supports the deployment of application delivery and network services across public and private clouds, traditional data centers and hybrid environments. GTM is a wide area traffic manager; WebAccelerator is an application accelerator. A security vulnerability exists in the iControl REST service of several F5 BIG-IP and BIG-IQ products due to the program not adequately filtering parameters. The following products and versions are affected: F5 BIG-IP LTM, AAM, AFM, Analytics, APM, ASM, Link Controller, PEM 12.0.0 to 12.0.0 HF2, 11.6.0, 11.5.0 to 11.5. 3, DNS 12.0.0 to 12.0.0 HF2, GTM 11.6.0, 11.5.0 to 11.5.3, BIG-IQ Cloud, Device, Security 4.0.0 to 4.5.0, ADC Version 4.5.0, Centralized Management version 4.6.0, Cloud and Orchestration version 1.0.0
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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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