Flowise is a drag & drop user interface to build a customized large language model flow. Prior to version 3.1.2, a mass assignment vulnerability exists in the variable update endpoint of FlowiseAI. The endpoint allows authenticated users to modify server-controlled properties such as workspaceId, createdDate, and updatedDate when updating a variable resource. Due to missing server-side validation and authorization checks, an attacker can manipulate the workspaceId field and reassign variables to arbitrary workspaces. This behavior may break tenant isolation in multi-workspace environments. This issue has been patched in version 3.1.2.

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to version 3.1.2, a mass assignment vulnerability exists in the assistant update endpoint of FlowiseAI. The endpoint allows authenticated users to modify server-controlled properties such as workspaceId, createdDate, and updatedDate when updating an assistant resource. Due to missing server-side validation and authorization checks, an attacker can manipulate the workspaceId field and reassign assistants to arbitrary workspaces. This breaks tenant isolation in multi-workspace environments. This issue has been patched in version 3.1.2.

A vulnerability was detected in FlowiseAI Flowise up to 3.0.12. This affects the function verify of the file packages/server/src/enterprise/services/account.service.ts of the component Endpoint. Performing a manipulation results in information disclosure. Remote exploitation of the attack is possible. The attack is considered to have high complexity. It is indicated that the exploitability is difficult. The exploit is now public and may be used. Upgrading the affected component is recommended.

A security flaw has been discovered in FlowiseAI Flowise up to 3.0.12. Affected is the function Login of the file packages/server/src/enterprise/services/account.service.ts of the component API Response Handler. The manipulation results in information disclosure. The attack can be launched remotely. A high complexity level is associated with this attack. The exploitability is told to be difficult. You should upgrade the affected component.

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to version 3.1.2, when credentials are fetched with a credentialName filter parameter, the encryptedData field is not stripped from the response. The code properly omits encryptedData when no filter is used but fails to do so when a filter is used. This issue has been patched in version 3.1.2.

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to version 3.1.2, a mass assignment vulnerability exists in the tool update endpoint of FlowiseAI. The endpoint allows authenticated users to modify server-controlled properties such as workspaceId, createdDate, and updatedDate when updating a tool resource. Due to missing server-side validation and authorization checks, an attacker can manipulate the workspaceId field and reassign tools to arbitrary workspaces. This breaks tenant isolation in multi-workspace environments. This issue has been patched in version 3.1.2.

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to version 3.1.2, a mass assignment vulnerability exists in the chatflow update endpoint of FlowiseAI. The endpoint allows clients to modify server-controlled properties such as deployed, isPublic, workspaceId, createdDate, and updatedDate when updating a chatflow object. Due to missing server-side validation and authorization checks, an authenticated user can manipulate internal attributes of a chatflow and reassign it to another workspace. This allows cross-workspace resource reassignment and unauthorized modification of deployment and visibility settings. This issue has been patched in version 3.1.2.

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, a Mass Assignment vulnerability in the DocumentStore creation endpoint allows authenticated users to control the primary key (id) and internal state fields of DocumentStore entities. Because the service uses repository.save() with a client-supplied primary key, the POST create endpoint behaves as an implicit UPSERT operation. This enables overwriting existing DocumentStore objects. In multi-workspace or multi-tenant deployments, this can lead to cross-workspace object takeover and broken object-level authorization (IDOR), allowing an attacker to reassign or modify DocumentStore objects belonging to other workspaces. This vulnerability is fixed in 3.1.0.

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, a Server-Side Request Forgery (SSRF) protection bypass vulnerability exists in the Custom Function feature. While the application implements SSRF protection via HTTP_DENY_LIST for axios and node-fetch libraries, the built-in Node.js http, https, and net modules are allowed in the NodeVM sandbox without equivalent protection. This allows authenticated users to bypass SSRF controls and access internal network resources (e.g., cloud provider metadata services) This vulnerability is fixed in 3.1.0.

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, the GET /api/v1/public-chatflows/:id endpoint returns the full chatflow object without sanitization for public chatflows. Docker validation revealed this is worse than initially assessed: the sanitizeFlowDataForPublicEndpoint function does NOT exist in the released v3.0.13 Docker image. Both public-chatflows AND public-chatbotConfig return completely raw flowData including credential IDs, plaintext API keys, and password-type fields. This vulnerability is fixed in 3.1.0.

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, /api/v1/public-chatbotConfig/:id ep exposes sensitive data including API keys, HTTP authorization headers and internal configuration without any authentication. An attacker with knowledge just of a chatflow UUID can retrieve credentials stored in password type fields and HTTP headers, leading to credential theft and more. This vulnerability is fixed in 3.1.0.

Vulnerability in the JD Edwards EnterpriseOne Project Costing product of Oracle JD Edwards (component: Job Costing). The supported version that is affected is 9.2. Easily exploitable vulnerability allows low privileged attacker with network access via JDENET to compromise JD Edwards EnterpriseOne Project Costing. While the vulnerability is in JD Edwards EnterpriseOne Project Costing, attacks may significantly impact additional products (scope change). Successful attacks of this vulnerability can result in unauthorized creation, deletion or modification access to critical data or all JD Edwards EnterpriseOne Project Costing accessible data as well as unauthorized access to critical data or complete access to all JD Edwards EnterpriseOne Project Costing accessible data. CVSS 3.1 Base Score 9.6 (Confidentiality and Integrity impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:N).

Argo CD is a declarative, GitOps continuous delivery tool for Kubernetes. From versions 3.2.0 to before 3.2.11 and 3.3.0 to before 3.3.9, there is a missing authorization and data-masking gap in Argo CD's ServerSideDiff endpoint that allows an attacker with read-only access to extract plaintext Kubernetes Secret data from etcd via the Kubernetes API server's Server-Side Apply dry-run mechanism. This issue has been patched in versions 3.2.11 and 3.3.9.

LibreChat is an enhanced ChatGPT clone that supports multiple AI providers. In versions up to and including 0.8.3, the Model Context Protocol (MCP) server integration resolves ${VAR} placeholders against the server's process.env during Zod schema validation of user-supplied MCP server URLs. Any authenticated user can create a malicious MCP server configuration with a URL pointing to an attacker-controlled domain containing environment variable references, causing the LibreChat server to connect to the attacker's server and transmit critical secrets such as CREDS_KEY, CREDS_IV, JWT_SECRET, and MONGO_URI in the request URL. This enables full compromise of the installation's cryptographic materials and database credentials without requiring administrative privileges. This is patched in version 0.8.4-rc1.

A vulnerability has been identified in COMOS (All versions). The affected application lacks proper access controls in SMB shares. This could allow an attacker to access files that the user should not have access to.

An Incorrect Access Control vulnerability was found in the Application Server of Desktop Alert PingAlert version 6.1.0.11 to 6.1.1.2 exploitable remotely for Escalation of Privileges.

The Snowflake datasource allows for GET/PUT commands, which can allow any user with access to run queries against the data source to read/write files between the local grafana server and the connected Snowflake host.

Vulnerability in the JD Edwards EnterpriseOne Tools product of Oracle JD Edwards (component: Enterprise Infrastructure Security). Supported versions that are affected are 9.2.0.0-9.2.26.2. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise JD Edwards EnterpriseOne Tools. While the vulnerability is in JD Edwards EnterpriseOne Tools, attacks may significantly impact additional products (scope change). Successful attacks of this vulnerability can result in unauthorized creation, deletion or modification access to critical data or all JD Edwards EnterpriseOne Tools accessible data as well as unauthorized access to critical data or complete access to all JD Edwards EnterpriseOne Tools accessible data. CVSS 3.1 Base Score 9.6 (Confidentiality and Integrity impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:N).

Vulnerability in the Oracle Enterprise Command Center Framework product of Oracle E-Business Suite (component: Core). Supported versions that are affected are V15 and V16. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise Oracle Enterprise Command Center Framework. While the vulnerability is in Oracle Enterprise Command Center Framework, attacks may significantly impact additional products (scope change). Successful attacks of this vulnerability can result in unauthorized creation, deletion or modification access to critical data or all Oracle Enterprise Command Center Framework accessible data as well as unauthorized access to critical data or complete access to all Oracle Enterprise Command Center Framework accessible data. CVSS 3.1 Base Score 9.6 (Confidentiality and Integrity impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:N).

Vulnerability in the MySQL NDB Cluster product of Oracle MySQL (component: Cluster: NDB Operator). Supported versions that are affected are 8.0.11-8.0.46, 8.4.0-8.4.9 and 9.0.0-9.7.0. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise MySQL NDB Cluster. While the vulnerability is in MySQL NDB Cluster, attacks may significantly impact additional products (scope change). Successful attacks of this vulnerability can result in unauthorized creation, deletion or modification access to critical data or all MySQL NDB Cluster accessible data as well as unauthorized access to critical data or complete access to all MySQL NDB Cluster accessible data. CVSS 3.1 Base Score 9.6 (Confidentiality and Integrity impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:N).

Argo CD is a declarative continuous deployment for Kubernetes. Argo CD Cluster secrets might be managed declaratively using Argo CD / kubectl apply. As a result, the full secret body is stored in`kubectl.kubernetes.io/last-applied-configuration` annotation. pull request #7139 introduced the ability to manage cluster labels and annotations. Since clusters are stored as secrets it also exposes the `kubectl.kubernetes.io/last-applied-configuration` annotation which includes full secret body. In order to view the cluster annotations via the Argo CD API, the user must have `clusters, get` RBAC access. **Note:** In many cases, cluster secrets do not contain any actually-secret information. But sometimes, as in bearer-token auth, the contents might be very sensitive. The bug has been patched in versions 2.8.3, 2.7.14, and 2.6.15. Users are advised to upgrade. Users unable to upgrade should update/deploy cluster secret with `server-side-apply` flag which does not use or rely on `kubectl.kubernetes.io/last-applied-configuration` annotation. Note: annotation for existing secrets will require manual removal.

OpenEMR is a free and open source electronic health records and medical practice management application. From 5.0.2 to before 8.0.0, there are (at least) two paths where the gateway_api_key secret value is rendered to the client in plaintext. These secret keys being leaked could result in arbitrary money movement or broad account takeover of payment gateway APIs. This vulnerability is fixed in 8.0.0.

A vulnerability has been identified in COMOS (All versions). The affected application lacks proper access controls in making the SQLServer connection. This could allow an attacker to query the database directly to access information that the user should not have access to.

An issue was discovered in Blood Bank Management System 1.0 allowing authenticated attackers to perform actions with escalated privileges via crafted request to delete.php.

An issue was discovered in GitLab CE/EE affecting all versions starting from 15.8 prior to 16.11.6, starting from 17.0 prior to 17.0.4, and starting from 17.1 prior to 17.1.2, which allows an attacker to trigger a pipeline as another user under certain circumstances.

Improper access control in Microsoft Partner Center allows an authorized attacker to elevate privileges over a network.

An issue was discovered in GitLab CE/EE affecting all versions starting from 15.8 prior to 16.11.5, starting from 17.0 prior to 17.0.3, and starting from 17.1 prior to 17.1.1, which allows an attacker to trigger a pipeline as another user under certain circumstances.

Mattermost versions 9.9.x <= 9.9.0, 9.5.x <= 9.5.6, 9.7.x <= 9.7.5 and 9.8.x <= 9.8.1 fail to disallow unsolicited invites to expose access to local channels, when shared channels are enabled, which allows a malicious remote to send an invite with the ID of an existing local channel, and that local channel will then become shared without the consent of the local admin.

An improper access control vulnerability in the Azure Managed Instance for Apache Cassandra allows an authenticated attacker to elevate privileges over a network.