VAR-201502-0040
Vulnerability from variot - Updated: 2025-04-13 23:29The Endpoint Control protocol implementation in Fortinet FortiClient 5.2.3.091 for Android and 5.2.028 for iOS does not validate certificates, which makes it easier for man-in-the-middle attackers to spoof servers via a crafted certificate. Fortinet FortiClient is prone to a security-bypass vulnerability because the application fails to properly validate SSL certificates. Successfully exploiting this issue allows attackers to perform man-in-the-middle attacks or impersonate trusted servers, which will aid in further attacks. Fortinet FortiClient for Android and iOS is the American Fortinet ( Fortinet ) company based on a set of Android and iOS Platform's endpoint security solution. The program works with FortiGate Available when a firewall device is connected IPsec and SSL Features like encryption, WAN optimization, endpoint compliance, and two-factor authentication. The following versions are affected: Based on Android platform Fortinet FortiClient 5.2.3.091 version, based on iOS platform Fortinet FortiClient 5.2.028 Version
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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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