PatchFirst · Vulnérabilités récentes
Vulnérabilités publiées pour Node.js au cours des 30 derniers jours : 413. Présentes dans le catalogue KEV : 0.
Signalements récents de vulnérabilités issus des annonces des éditeurs et de l’actualité de la sécurité. Ces alertes ne modifient pas la note de sécurité.
Selon GitHub Advisory Database, Node.js présente une vulnérabilité de déni de service (CVE-2026-109932). Les versions exactes affectées ne sont pas précisées. Le message ne précise pas de version corrigée.
Que faire maintenant : Vérifiez si une mise à jour de sécurité de Node.js contenant le correctif est disponible et installez-la.
CVE-2026-109932
Selon OpenNet, Node.js présente une vulnérabilité d’exécution de code à distance (CVE-2026-111497). Les versions exactes affectées ne sont pas précisées. Le message ne précise pas de version corrigée.
Que faire maintenant : Vérifiez si une mise à jour de sécurité de Node.js contenant le correctif est disponible et installez-la.
CVE-2026-111497
Vulnérabilités : 7795
md-fileserver allows for local viewing of markdown files in a browser. Prior to version 1.10.3, a cross-site scripting (XSS) vulnerability exists in the application’s Markdown rendering logic. When user-supplied Markdown content is rendered, embedded raw HTML—including <script> tags—is processed and injected into the resulting page without sanitization, allowing arbitrary JavaScript execution in the context of the affected domain. This issue has been patched in version 1.10.3.
Versions of the package degit before 2.8.6, from 3.0.0 and before 3.3.1 are vulnerable to Command Injection due to improper sanitisation of user input for git shell commands directly invoked with exec() method by _cloneWithGit() and fetchRefs() functions. An attacker can execute arbitrary operating system commands as the process user by supplying a specially crafted git repository name.
samlify is a Node.js library for SAML single sign-on. Prior to version 2.13.0, samlify’s template substitution only escapes attribute contexts. Values inserted into element text (e.g., <saml:AttributeValue>) are not escaped. A normal user can inject XML markup into an attribute value (e.g., email, name) and add new <saml:Attribute> elements inside the signed assertion. The IdP then signs the tampered assertion and the SP accepts the injected attributes as trusted. This allows privilege escalation when attributes are used for authorization (roles/groups). This issue has been patched in version 2.13.0.
Improper neutralization of triple-quote characters during Python code generation in AgentCore CLI before v0.14.2 might allow an authenticated remote threat actor to execute arbitrary code on AWS AgentCore Runtime under the imported agent's IAM execution role and on the local environment of another user in the same AWS account, via a crafted collaborationInstruction stored on a Bedrock Agent collaborator and later processed by that other user during agent import. To remediate this issue, users should upgrade to version 0.14.2.
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.
Flowise is a drag & drop user interface to build a customized large language model flow. Prior to version 3.1.2, DatasetRow create and update mass-assignment allows cross-workspace row 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, dataset create and update mass-assignment allows cross-workspace dataset 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, 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, 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, POST /api/v1/node-custom-function lacks route-level authorization, allowing any authenticated user or API key to submit arbitrary JavaScript to the Custom JS Function node. When E2B_APIKEY is not configured — the common deployment case — Flowise executes this code inside a NodeVM sandbox. This sandbox can be escaped, allowing an attacker to reach the host process object and execute system commands via child_process. The result is authenticated remote code execution on the Flowise server host. This issue has been patched in version
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, the checkBasicAuth endpoint validates credentials in plaintext without rate limiting and with direct comparison. 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
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 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, all CRUD endpoints for OpenAI Assistants Vector Store have no authentication middleware and the route path /api/v1/openai-assistants-vector-store is not in WHITELIST_URLS. However, it is also not protected by the main auth middleware when accessed via API key — the route requires API key auth (not whitelisted), but no permission checks exist on any operation. This issue has been patched in version 3.1.2.
## Summary The iOS implementation of `cordova-plugin-inappbrowser` passes the `id` field from a `WKScriptMessage` body to `commandDelegate sendPluginResult:callbackId:` with no format validation (`CDVWKInAppBrowser.m:560–574`). Any web content loaded inside the InAppBrowser can fire any pending Cordova callback in the host app by posting a message whose `id` field is a guessable or enumerated callback identifier. An attack abusing this weakness must be tailored to the specific plugins and callback IDs the host app uses. Though an attacker with knowledge of common Cordova plugin configurations could craft reusable payloads targeting widely-ad
HAX CMS helps manage microsite universe with PHP or NodeJs backends. Prior to version 26.0.0, the HAX CMS NodeJS application crashes when an authenticated attacker sends a specially crafted site creation request to the createSite endpoint. A single request is sufficient to take the entire application offline, requiring a manual server restart to restore service. Version 26.0.0 fixes the issue.
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