CVE-2026-47418
Description détaillée
PraisonAI Platform is the platform layer for the PraisonAI multi-agent teams system. Versions prior to 0.1.4 have an Insecure Direct Object Reference. The project CRUD endpoints (`GET / PATCH / DELETE /workspaces/{workspace_id}/projects/{project_id}` and `GET .../{project_id}/stats`) gate access on `require_workspace_member(workspace_id)` only, then resolve `project_id` through `ProjectService.get(project_id)` / `update(project_id, ...)` / `delete(project_id)` / `get_stats(project_id)`. None of these calls thread `workspace_id` through to constrain the lookup. A user who is a member of any workspace `W1` can read, modify, delete, or read stats for projects that belong to a different workspace `W2`. PraisonAI Platform version 0.1.4 patches the issue.
Vecteur d'attaque (CVSS)
Dernières Vulnérabilités
CVE-2026-63261
Uncontrolled Resource Consumption (CWE-400) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). A low-privileged authenticated user can send a specially crafted request to a Kibana machine learning feature, causing the server to exhaust available memory and become unavailable to all users.
CVE-2026-63260
Uncontrolled Resource Consumption (CWE-400) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). An authenticated attacker with low-privilege access can trigger a denial of service condition in Kibana by sending a specially crafted, oversized request payload. Processing this user-supplied input requires resource-intensive memory allocation that can exhaust the available heap memory in the Kibana process, causing it to crash and become unavailable to all users.
CVE-2026-63259
Authorization Bypass Through User-Controlled Key (CWE-639) in Kibana can lead to information disclosure via user-supplied identifiers that reference scheduled query result data from Kibana Spaces the requester is not authorized to access.