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### Summary A security vulnerability exists in `@fastify/express` where middleware registered with a specific path prefix can be bypassed using URL-encoded characters (e.g., `/%61dmin` instead of `/admin`). While the middleware engine fails to match the encoded path and skips execution, the underlying Fastify router correctly decodes the path and matches the route handler, allowing attackers to access protected endpoints without the middleware constraints. ### Details The vulnerability is caused by how `@fastify/express` matches requests against registered middleware paths. ### PoC **Step 1:** Run the following Fastify application (save as `app.js`): ```javascript const fastify = require('fastify')({ logger: true }); async function start() { // Register fastify-express for Express-style middleware support await fastify.register(require('@fastify/express')); // Middleware to block /admin route fastify.use('/admin', (req, res, next) => { res.statusCode = 403; res.end...

### Summary A security vulnerability exists in `@fastify/middie` where middleware registered with a specific path prefix can be bypassed using URL-encoded characters (e.g., `/%61dmin` instead of `/admin`). While the middleware engine fails to match the encoded path and skips execution, the underlying Fastify router correctly decodes the path and matches the route handler, allowing attackers to access protected endpoints without the middleware constraints. ### Details The vulnerability is caused by how `middie` matches requests against registered middleware paths. 1. **Regex Generation**: When [fastify.use('/admin', ...)](cci:1://file:///Users/harshjaiswal/work/research/nest/packages/platform-fastify/adapters/fastify-adapter.ts:733:2-741:3) is called, `middie` uses `path-to-regexp` to generate a regular expression for the path `/admin`. 2. **Request Matching**: For every request, `middie` executes this regular expression against `req.url` (or `req.originalUrl`). 3. **The Flaw**: `r...

### Summary Wings does not consider SQLite max parameter limit when processing activity log entries allowing for low privileged user to trigger a condition that floods the panel with activity records ### Details After wings sends activity logs to the panel it deletes the processed activity entries from the wings SQLite database. However, it does not consider the max parameter limit of SQLite, 32766 as of SQLite 3.32.0. If wings attempts to delete more than 32766 entries from the SQLite database in one query, it triggers an error (SQL logic error: too many SQL variables (1)) and does not remove any entries from the database. These entries are then indefinitely re-processed and resent to the panel each time the cron runs. https://github.com/pterodactyl/wings/blob/9ffbcdcdb1163da823cf9959b9602df9f7dcb54a/internal/cron/activity_cron.go#L81 https://github.com/pterodactyl/wings/blob/9ffbcdcdb1163da823cf9959b9602df9f7dcb54a/internal/cron/sftp_cron.go#L86 ### PoC Any method that can ...

### Summary Websockets within wings lack proper rate limiting and throttling. As a result a malicious user can open a large number of connections and then request data through these sockets, causing an excessive volume of data over the network and overloading the host system memory and cpu. Additionally, there is not a limit applied to the total size of messages being sent or received, allowing a malicious user to open thousands of websocket connections and then send massive volumes of information over the socket, overloading the host network, and causing increased CPU and memory load within Wings.

### Summary Pterodactyl implements rate limits that are applied to the total number of resources (e.g. databases, port allocations, or backups) that can exist for an individual server. These resource limits are applied on a per-server basis, and validated during the request cycle. However, it is possible for a malicious user to send a massive volume of requests at the same time that would create more resources than the server is allotted. This is because the validation occurs early in the request cycle and does not lock the target resource while it is processing. As a result sending a large volume of requests at the same time would lead all of those requests to validate as not using any of the target resources, and then all creating the resources at the same time. As a result a server would be able to create more databases, allocations, or backups than configured. ### Impact A malicious user is able to deny resources to other users on the system, and may be able to excessively consu...

### Summary A **Server-Side Request Forgery (SSRF) Protection Bypass** exists in WeasyPrint's `default_url_fetcher`. The vulnerability allows attackers to access internal network resources (such as `localhost` services or cloud metadata endpoints) even when a developer has implemented a custom `url_fetcher` to block such access. This occurs because the underlying `urllib` library follows HTTP redirects automatically without re-validating the new destination against the developer's security policy. ### Details The default URL fetching mechanism in WeasyPrint (default_url_fetcher in weasyprint/urls.py) is vulnerable to a Server-Side Request Forgery (SSRF) Protection Bypass. While WeasyPrint allows developers to define custom url_fetcher functions to validate or sanitize URLs before fetching (e.g., blocking internal IP addresses or specific ports), the underlying implementation uses Python's standard urllib.request.urlopen. By default, urllib automatically follows HTTP redirects (stat...

A weakness has been identified in MineAdmin 1.x/2.x. This impacts the function refresh of the file /system/refresh of the component JWT Token Handler. This manipulation causes insufficient verification of data authenticity. It is possible to initiate the attack remotely. The attack is considered to have high complexity. The exploitability is said to be difficult. The exploit has been made available to the public and could be used for attacks. The vendor was contacted early about this disclosure but did not respond in any way.

Chainlit versions prior to 2.9.4 contain a server-side request forgery (SSRF) vulnerability in the /project/element update flow when configured with the SQLAlchemy data layer backend. An authenticated client can provide a user-controlled url value in an Element, which is fetched by the SQLAlchemy element creation logic using an outbound HTTP GET request. This allows an attacker to make arbitrary HTTP requests from the Chainlit server to internal network services or cloud metadata endpoints and store the retrieved responses via the configured storage provider.

When org.apache.linkis.metadata.util.HiveUtils.decode() fails to perform Base64 decoding, it records the complete input parameter string in the log via logger.error(str + "decode failed", e). If the input parameter contains sensitive information such as Hive Metastore keys, plaintext passwords will be left in the log files when decoding fails, resulting in information leakage. Affected Scope Component: Sensitive fields in hive-site.xml (e.g., javax.jdo.option.ConnectionPassword) or other fields encoded in Base64. Version: Apache Linkis 1.0.0 – 1.7.0 Trigger Conditions The value of the configuration item is an invalid Base64 string. Log files are readable by users other than hive-site.xml administrators. Severity: Low The probability of Base64 decoding failure is low. The leakage is only triggered when logs at the Error level are exposed. Remediation Apache Linkis 1.8.0 and later versions have replaced the log with desensitized content. logger.error("URL decode failed: {}", e.get...

A vulnerability in Apache Linkis. Problem Description When using the JDBC engine and data source functionality, if the URL parameter configured on the frontend has undergone multiple rounds of URL encoding, it may bypass the system's checks. This bypass can trigger a vulnerability that allows unauthorized access to system files via JDBC parameters. Scope of Impact This issue affects Apache Linkis: from 1.3.0 through 1.7.0. Severity level moderate Solution Continuously check if the connection information contains the "%" character; if it does, perform URL decoding. Users are recommended to upgrade to version 1.8.0, which fixes the issue. More questions about this vulnerability can be discussed here:  https://lists.apache.org/list?dev@linkis.apache.org:2025-9:cve