VAR-201411-0467
Vulnerability from variot - Updated: 2025-04-13 23:39FortiNet FortiADC-E with firmware 3.1.1 before 4.0.5 and Coyote Point Equalizer with firmware 10.2.0a allows remote attackers to obtain access to arbitrary subnets via unspecified vectors. FortiADC-E is an application delivery controller developed by the company. FortiADC-E has security vulnerabilities that allow non-privileged users to inject messages into the FortiADC-E-configured network or with hosts configured on the FortiADC-E network. FortiADC-E is prone to an unauthorized-access vulnerability. Successful exploits will allow attackers to gain unauthorized access to network resources, which may aid in further attacks. Fortinet FortiADC-E and Coyote Point Equalizer are both Fortinet's application delivery controllers, which can optimize network availability, user experience, mobile performance and cloud-based enterprise application control, and enhance server efficiency and reduce Data center network complexity and cost
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"@vocab": "https://www.variotdbs.pl/ref/type#",
"sources": {
"@container": "@list",
"@context": {
"@vocab": "https://www.variotdbs.pl/ref/sources#"
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"data": "authorization issue",
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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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