Sceawere
Vulnerability Detail
CVE-2026-80337UPDATED Verified Sceawere Triage Sources: NVD / CISA KEV
Missing Authorization in Sef Platform
Vulnerability Metadata
- Severity
- Medium
- Score / CVSS
- 5.3
- Creation Date
- 14h ago
- Vendor
- HAVELSAN Inc.
- Product
- Sef - AI Chatbot Platform
- Attack Type
- CWE-862 Missing Authorization
- Vector String
- CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:N/A:N
- Attack Complexity
- HIGH
Narrative and Response
Description
Missing Authorization vulnerability in HAVELSAN Inc. Sef - AI Chatbot Platform allows Accessing Functionality Not Properly Constrained by ACLs. This issue affects Sef - AI Chatbot Platform: before 2.1.
Executive Summary
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
Technical Details
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
Mitigations
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
References
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
Additional Metadata
{
"score": "5.3",
"pubDate": "2026-10-02T09:16:44.680Z",
"pubdate": "2026-10-02T09:16:44.680Z",
"executiveSummary": "The HAVELSAN Inc. Sef - AI Chatbot Platform is affected by a Missing Authorization vulnerability, classified as an issue where functionality is not properly constrained by Access Control Lists (ACLs). This security flaw permits unauthorized users to access restricted platform features or perform actions that should be reserved for privileged accounts. The vulnerability impacts all versions of the Sef - AI Chatbot Platform prior to 2.1.\nFrom a risk perspective, this vulnerability allows an attacker to bypass intended security boundaries within the application. By exploiting this flaw, an unauthorized actor—or an authenticated user with lower privileges—can execute sensitive functions, potentially leading to unauthorized data access, information disclosure, or the manipulation of platform administrative workflows. The impact is significant as it undermines the integrity and confidentiality of the AI Chatbot's operational logic. Exploitation does not necessarily require complex techniques, as the core issue lies in the absence of robust server-side authorization checks for specific API endpoints or application modules. Remediation is required to enforce strict access control enforcement mechanisms across all platform functionality to ensure only authorized entities can perform sensitive operations.",
"technicalDetails": "The vulnerability originates from a failure in the application's authorization logic, specifically within the backend API controllers or service handlers of the Sef - AI Chatbot Platform. The core issue is identified as an Improper Authorization flaw, where the system fails to validate the permissions of a requesting user before granting access to sensitive functionality. In this architectural context, while a user may be authenticated via a standard session or token-based mechanism, the application fails to verify if that specific identity possesses the required role-based or attribute-based authorization to interact with the target function.\nThe attack flow typically involves an attacker observing the API traffic and identifying endpoints or functional calls that appear to process sensitive data or perform administrative tasks. By directly requesting these endpoints while authenticated as a low-privileged user, or potentially as an unauthenticated visitor, the attacker bypasses the platform's security controls. Because the application logic relies on implicit trust rather than explicit validation of the user's scope, the server-side code executes the requested function under the assumption that the caller has been vetted by the middleware or the security layer, which is demonstrably insufficient.\nThe vulnerable component involves the platform's access control middleware or the individual controller logic that manages API routing. Without explicit authorization checks at the point of request handling, the application exposes sensitive backend services to any user who can guess or discover the endpoint URL. This effectively bypasses the Principle of Least Privilege. In versions prior to 2.1, the application lacks the necessary granular checks required to prevent unauthorized users from interacting with restricted components.\nPost-exploitation, an attacker could perform actions such as retrieving sensitive chatbot interaction logs, modifying system configurations, or accessing restricted data models integrated into the Sef platform. The lack of proper ACL enforcement means the system cannot differentiate between the security context of a standard user and an administrator, leading to a complete compromise of the intended operational constraints for the affected features. The risk is heightened by the potential for automated exploitation once an attacker maps the available API surface, as the missing authorization covers the entire lifecycle of the function call."
}