VAR-201606-0261
Vulnerability from variot - Updated: 2025-04-13 23:02Virtual servers in F5 BIG-IP 11.5.4, when SSL profiles are enabled, allow remote attackers to cause a denial of service (resource consumption and Traffic Management Microkernel restart) via an SSL alert during the handshake. BIG-IP SSL is prone to a denial-of-service vulnerability. Attackers can exploit this issue to cause excessive resource consumption, resulting in a denial-of-service condition. F5 BIG-IP Analytics and others are products of F5 Corporation of the United States. F5 BIG-IP Analytics is a suite of web application performance analysis software. APM is a set of solutions that provide secure and unified access to business-critical applications and networks. LTM is a local traffic manager. A security vulnerability exists in the Virtual Server of several F5 BIG-IP products. The following products and versions are affected: F5 BIG-IP LTM, AAM, AFM, Analytics, APM, ASM, GTM, Link Controller, PEM version 11.5.4
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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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