VAR-201903-0194
Vulnerability from variot - Updated: 2024-11-23 22:48In BIG-IP 13.0.0, 12.1.0-12.1.3.7, 11.6.1-11.6.3.2, or 11.5.1-11.5.8, the Application Acceleration Manager (AAM) wamd process used in processing of images and PDFs fails to drop group permissions when executing helper scripts. BIG-IP Application Acceleration Manager (AAM) Contains a permission vulnerability.Information may be obtained. F5 BIG-IP AAM is prone to a local information-disclosure vulnerability. Local attackers can exploit this issue to obtain sensitive information. Information obtained may lead to further attacks. 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. The following versions are affected: F5 BIG-IP Version 13.0.0, Version 12.1.0 to Version 12.1.3.7, Version 11.6.1 to Version 11.6.3.2, Version 11.5.1 to Version 11.5.8
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.
- 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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