In invoke-ai/invokeai version v5.0.2, the web API `POST /api/v1/images/delete` is vulnerable to Arbitrary File Deletion. This vulnerability allows unauthorized attackers to delete arbitrary files on the server, potentially including critical or sensitive system files such as SSH keys, SQLite databases, and configuration files. This can impact the integrity and availability of applications relying on these files.

eosphoros-ai/DB-GPT version latest is vulnerable to arbitrary file deletion on Windows systems via the '/v1/agent/hub/update' endpoint. The application fails to properly filter the '\' character, which is commonly used as a separator in Windows paths. This vulnerability allows attackers to delete any files on the host system by manipulating the 'plugin_repo_name' variable.

lunary-ai/lunary version v1.4.25 contains an improper access control vulnerability in the POST /api/v1/data-warehouse/bigquery endpoint. This vulnerability allows any user to export the entire database data by creating a stream to Google BigQuery without proper authentication or authorization. The issue is fixed in version 1.4.26.

A Denial of Service (DoS) vulnerability in zenml-io/zenml version 0.66.0 allows unauthenticated attackers to cause excessive resource consumption by sending malformed multipart requests with arbitrary characters appended to the end of multipart boundaries. This flaw in the multipart request boundary processing mechanism leads to an infinite loop, resulting in a complete denial of service for all users. Affected endpoints include `/api/v1/login` and `/api/v1/device_authorization`.

A missing check_access() function in the lollms_binding_infos module of the parisneo/lollms repository, version V14, allows attackers to add, modify, and remove bindings arbitrarily. This vulnerability affects the /install_binding and /reinstall_binding endpoints, among others, enabling unauthorized access and manipulation of binding settings without requiring the client_id value.

A stored cross-site scripting (XSS) vulnerability exists in automatic1111/stable-diffusion-webui version git 82a973c. An attacker can upload an HTML file, which the application interprets as content-type application/html. If a victim accesses the malicious link, it will execute arbitrary JavaScript in the victim's browser.

A vulnerability in the Dockerized version of mintplex-labs/anything-llm (latest, digest 1d9452da2b92) allows for a denial of service. Uploading an audio file with a very low sample rate causes the functionality responsible for transcribing it to crash the entire site instance. The issue arises from the localWhisper implementation, where resampling the audio file from 1 Hz to 16000 Hz quickly exceeds available memory, leading to the Docker instance being killed by the instance manager.

In lightning-ai/pytorch-lightning version 2.3.2, a vulnerability exists in the `LightningApp` when running on a Windows host. The vulnerability occurs at the `/api/v1/upload_file/` endpoint, allowing an attacker to write or overwrite arbitrary files by providing a crafted filename. This can lead to potential remote code execution (RCE) by overwriting critical files or placing malicious files in sensitive locations.

A vulnerability in mintplex-labs/anything-llm prior to version 1.2.2 allows for Prisma injection. The issue exists in the API endpoint "/embed/:embedId/stream-chat" where user-provided JSON is directly taken to the Prisma library's where clause. An attacker can exploit this by providing a specially crafted JSON object, such as {"sessionId":{"not":"a"}}, causing Prisma to return all data from the table. This can lead to unauthorized access to all user queries in embedded chat mode.

A vulnerability in langchain-core versions >=0.1.17,<0.1.53, >=0.2.0,<0.2.43, and >=0.3.0,<0.3.15 allows unauthorized users to read arbitrary files from the host file system. The issue arises from the ability to create langchain_core.prompts.ImagePromptTemplate's (and by extension langchain_core.prompts.ChatPromptTemplate's) with input variables that can read any user-specified path from the server file system. If the outputs of these prompt templates are exposed to the user, either directly or through downstream model outputs, it can lead to the exposure of sensitive information.

In lunary-ai/lunary v1.5.0, improper privilege management in the models.ts file allows users with viewer roles to modify models owned by others. The PATCH endpoint for models does not have appropriate privilege checks, enabling low-privilege users to update models they should not have access to modify. This vulnerability could lead to unauthorized changes in critical resources, affecting the integrity and reliability of the system.

In version 3.25.0 of aimhubio/aim, a denial of service vulnerability exists. By tracking a large number of `Text` objects and then querying them simultaneously through the web API, the Aim web server becomes unresponsive to other requests for an extended period while processing and returning these objects. This vulnerability can be exploited repeatedly, leading to a complete denial of service.

A vulnerability in Ollama versions <=0.3.14 allows a malicious user to create a customized gguf model file that can be uploaded to the public Ollama server. When the server processes this malicious model, it crashes, leading to a Denial of Service (DoS) attack. The root cause of the issue is an out-of-bounds read in the gguf.go file.

In lunary-ai/lunary version v1.4.28, the /bigquery API route lacks proper access control, allowing any logged-in user to create a Datastream to Google BigQuery and export the entire database. This includes sensitive data such as password hashes and secret API keys. The route is protected by a config check (`config.DATA_WAREHOUSE_EXPORTS_ALLOWED`), but it does not verify the user's access level or implement any access control middleware. This vulnerability can lead to the extraction of sensitive data, disruption of services, credential compromise, and service integrity breaches.

A vulnerability in szad670401/hyperlpr v3.0 allows for a Denial of Service (DoS) attack. The server fails to handle excessive characters appended to the end of multipart boundaries, regardless of the character used. This flaw can be exploited by sending malformed multipart requests with arbitrary characters at the end of the boundary, leading to excessive resource consumption and a complete denial of service for all users. The vulnerability is unauthenticated, meaning no user login or interaction is required for an attacker to exploit this issue.

A vulnerability in langgenius/dify v0.10.1 allows an attacker to take over any account, including administrator accounts, by exploiting a weak pseudo-random number generator (PRNG) used for generating password reset codes. The application uses `random.randint` for this purpose, which is not suitable for cryptographic use and can be cracked. An attacker with access to workflow tools can extract the PRNG output and predict future password reset codes, leading to a complete compromise of the application.

A stored cross-site scripting (XSS) vulnerability exists in Serge version 0.9.0. The vulnerability is due to improper neutralization of input during web page generation in the chat prompt. An attacker can exploit this vulnerability by sending a crafted message containing malicious HTML/JavaScript code, which will be stored and executed whenever the chat is accessed, leading to unintended content being shown to the user and potential phishing attacks.

In h2oai/h2o-3 version 3.46.0.2, a vulnerability exists where uploading and repeatedly parsing a large GZIP file can cause a denial of service. The server becomes unresponsive due to memory exhaustion and a large number of concurrent slow-running jobs. This issue arises from the improper handling of highly compressed data, leading to significant data amplification.

A vulnerability in AnythingLLM Docker version 1.3.1 allows users with 'Default' permission to access other users' profile pictures by changing the 'id' parameter in the user cookie. This issue is present in versions prior to 1.3.1.

A remote code execution vulnerability exists in invoke-ai/invokeai versions 5.3.1 through 5.4.2 via the /api/v2/models/install API. The vulnerability arises from unsafe deserialization of model files using torch.load without proper validation. Attackers can exploit this by embedding malicious code in model files, which is executed upon loading. This issue is fixed in version 5.4.3.

An arbitrary file download vulnerability exists in the rpc_agent_client component of modelscope/agentscope version v0.0.4. This vulnerability allows any user to download any file from the rpc_agent's host by exploiting the download_file method. This can lead to unauthorized access to sensitive information, including configuration files, credentials, and potentially system files, which may facilitate further exploitation such as privilege escalation or lateral movement within the network.

Improper Handling of Highly Compressed Data (Data Amplification) vulnerability in Apache Seata (incubating). This issue affects Apache Seata (incubating): through <=2.2.0. Users are recommended to upgrade to version 2.3.0, which fixes the issue.

Deserialization of Untrusted Data vulnerability in Apache Seata (incubating). This issue affects Apache Seata (incubating): from 2.0.0 before 2.2.0. Users are recommended to upgrade to version 2.2.0, which fixes the issue.

The Age Gate plugin for WordPress is vulnerable to Local PHP File Inclusion in all versions up to, and including, 3.5.3 via the 'lang' parameter. This makes it possible for unauthenticated attackers to include and execute arbitrary PHP files on the server, allowing the execution of code in those files. This can be used to bypass access controls, obtain sensitive data, or achieve code execution in cases where images and other “safe” file types can be uploaded and included.

Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in CM Informatics CM News allows SQL Injection.This issue affects CM News: through 6.0. NOTE: The vendor was contacted and it was learned that the product is not supported.