In JetBrains Hub before 2026.1.13757,
2025.3.148033,
2025.2.148048,
2025.1.148120,
2024.3.148430,
2024.2.148429 privilege escalation by attaching authentication details to accounts was possible
LMDeploy is a toolkit for compressing, deploying, and serving large language models. In versions 0.12.3 and prior, hardcoded "trust_remote_code=True" enables HF supply-chain RCE without user opt-in. Version 0.13.0 patches the issue.
Flowise is a drag & drop user interface to build a customized large language model flow. Prior to version 3.1.2, evaluator create and update mass-assignment allows cross-workspace evaluator takeover. 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, evaluation create and update mass-assignment allows cross-workspace evaluation takeover. This issue has been patched in version 3.1.2.
FlowiseAI Flowise versions prior to 3.1.2 contain a vulnerability where the DatasetRow create and update functionality allows mass-assignment that can lead to cross-workspace row takeover. This issue is classified under CWE-915, indicating improper control of dynamically-determined object attributes. The vulnerability has been fixed in version 3.1.2.
Flowise versions prior to 3.1.2 contain a vulnerability where mass-assignment in dataset creation and update allows cross-workspace dataset takeover. This issue has been addressed in version 3.1.2. The vulnerability involves improperly controlled modification of dynamically-determined object attributes, classified as CWE-915.
Flowise is a drag & drop user interface to build a customized large language model flow. Prior to version 3.1.2, CustomTemplate create and update mass-assignment allows cross-workspace template takeover. 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, assistant create and update mass-assignment allows cross-workspace assistant takeover. 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.
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 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.
FlowiseAI Flowise versions prior to 3.1.2 contain a mass assignment vulnerability in the variable update endpoint. Authenticated users can modify server-controlled properties such as workspaceId without proper authorization checks, allowing reassignment of variables to arbitrary workspaces. This can break tenant isolation in multi-workspace environments. The issue has been fixed in version 3.1.2.
CVE-2026-42540 is a vulnerability in dfir-iris iris-web, a web collaborative platform for incident responders. Versions prior to 2.4.28 allow users with limited privileges to modify database values by sending manipulated API requests. This issue is classified as CWE-915, indicating improper control over modification of dynamically-determined object attributes. The vulnerability has a CVSS score of 4.3, reflecting a medium severity level. A patch was released in version 2.4.28 to address this issue.
Kysely versions from 0.26.0 up to 0.28.16 contain a path traversal vulnerability in the DefaultQueryCompiler.visitJSONPathLeg function. This flaw allows attacker-controlled input to manipulate JSON-path metacharacters, enabling traversal beyond intended JSON keys. Consequently, attackers can read and, in update statements, write to JSON sub-fields outside the developer's intended scope across MySQL, PostgreSQL, and SQLite databases. The vulnerability is fixed in version 0.28.
CVE-2026-6366 is a vulnerability in Drupal core that involves improper control over modification of dynamically-determined object attributes, leading to object injection. It affects multiple versions of Drupal core from 8.0.0 up to versions before 10.5.9, 10.6.7, 11.2.11, and 11.
The create and edit flows do not restrict which user properties may be submitted and do not enforce access control on the frontend user group assignment. As a result, an attacker can assign an arbitrary frontend user group to a newly registered or edited account, gaining unauthorized access to content and functionality restricted to privileged frontend user groups.
Improperly controlled modification of Dynamically-Determined object attributes, Allocation of resources without limits or throttling vulnerability in DivvyDrive Information Technologies Inc. DivvyDrive allows Excessive Allocation, Flooding.
This issue affects DivvyDrive: from 4.8.2.19 before 4.8.3.2.
Math.js is an extensive math library for JavaScript and Node.js. From version 13.1.0 to before version 15.2.0, arbitrary JavaScript can be executed via the expression parser of mathjs. This issue has been patched in version 15.2.0.
Improperly Controlled Modification of Dynamically-Determined Object Attributes vulnerability in Apache Camel Camel-Coap component.
Apache Camel's camel-coap component is vulnerable to Camel message header injection, leading to remote code execution when routes forward CoAP requests to header-sensitive producers (e.g. camel-exec)
The camel-coap component maps incoming CoAP request URI query parameters directly into Camel Exchange In message headers without applying any HeaderFilterStrategy.
Specifically, CamelCoapResource.handleRequest() iterates over OptionSet.getUriQuery() and calls camelExchange.getIn().setHeader(...) for every query parameter. CoAPEndpoint extends DefaultEndpoint rather than DefaultHeaderFilterStrategyEndpoint, and CoAPComponent does not implement HeaderFilterStrategyComponent; the component contains no references to HeaderFilterStrategy at all.
As a result, an unauthenticated attacker who can send a single CoAP UDP packet to a Camel route consuming from coap:// can inject arbitrary Camel internal headers (those prefixed with Camel*) into the Exchange. When the route delivers the message to a header-sensitive producer such as camel-exec, camel-sql, camel-bean, camel-file, or template components (camel-freemarker, camel-velocity), the injected headers can alter the producer's behavior. In the case of camel-exec, the CamelExecCommandExecutable and CamelExecCommandArgs headers override the executable and arguments configured on the endpoint, resulting in arbitrary OS command execution under the privileges of the Camel process.
The producer's output is written back to the Exchange body and returned in the CoAP response payload by CamelCoapResource, giving the attacker an interactive RCE channel without any need for out-of-band exfiltration.
Exploitation prerequisites are minimal: a single unauthenticated UDP datagram to the CoAP port (default 5683). CoAP (RFC 7252) has no built-in authentication, and DTLS is optional and disabled by default. Because the protocol is UDP-based, HTTP-layer WAF/IDS controls do not apply.
This issue affects Apache Camel: from 4.14.0 through 4.14.5, from 4.18.0 before 4.18.1, 4.19.0.
Users are recommended to upgrade to version 4.18.1 or 4.19.0, fixing the issue.
Math.js is an extensive math library for JavaScript and Node.js. From 13.1.1 to before 15.2.0, a vulnerability allowed executing arbitrary JavaScript via the expression parser of mathjs. You can be affected when you have an application where users can evaluate arbitrary expressions using the mathjs expression parser. This vulnerability is fixed in 15.2.0.