VAR-201708-0340
Vulnerability from variot - Updated: 2023-12-18 12:03Cross-site scripting (XSS) vulnerability in Fortinet FortiManager 5.0.x before 5.0.11, 5.2.x before 5.2.2 allows remote authenticated users to inject arbitrary web script or HTML via vectors involving unspecified parameters and a privilege escalation attack. FortiManager Contains a cross-site scripting vulnerability.Information may be obtained and information may be altered. FortiManager is prone to following security vulnerabilities: 1. A remote privilege-escalation vulnerability 2. An HTML-injection vulnerability 3. An SQL-injection vulnerability 4. A local privilege-escalation vulnerability 5. An arbitrary file-download vulnerability Exploiting these issues could allow an attacker to execute attacker-supplied HTML or script code in the browser of an unsuspecting user in the context of the affected site, steal cookie-based authentication credentials, compromise the application, access or modify data, exploit latent vulnerabilities in the underlying database, gain elevated privileges, or download arbitrary files from the web server and obtain potentially sensitive information. This may aid in other attacks. Fortinet FortiManager is a centralized network security management platform developed by Fortinet. The platform supports centralized management of any number of Fortinet devices, and can group devices into different management domains (ADOMs) to further simplify multi-device security deployment and management
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Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
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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.