VAR-202109-0532
Vulnerability from variot - Updated: 2024-08-14 14:50BIG-IP version 16.0.x before 16.0.1.2, 15.1.x before 15.1.3, 14.1.x before 14.1.4.2, 13.1.x before 13.1.4.1, and all versions of 12.1.x and 11.6.x and all versions of BIG-IQ 8.x, 7.x, and 6.x are vulnerable to cross-site request forgery (CSRF) attacks through iControl SOAP. Note: Software versions which have reached End of Technical Support (EoTS) are not evaluated. BIG-IP and BIG-IQ Contains a cross-site request forgery vulnerability.Information is obtained, information is tampered with, and service operation is interrupted. (DoS) It may be in a state. F5 BIG-IP is an application delivery platform integrated with network traffic management, application security management, load balancing and other functions of the US company F5. A security vulnerability exists in the F5 BIG-IP. The vulnerability stems from the fact that an attacker can trigger a cross-site request forgery through F5 BIG-IP's iControl SOAP, forcing the victim to perform an action
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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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