In the latest version of pytorch/serve, the script 'upload_results_to_s3.sh' references the S3 bucket 'benchmarkai-metrics-prod' without ensuring its ownership or confirming its accessibility. This could lead to potential security vulnerabilities or unauthorized access to the bucket if it is not properly secured or claimed by the appropriate entity. The issue may result in data breaches, exposure of proprietary information, or unauthorized modifications to stored data.
In version 0.3.8 of open-webui, an endpoint for converting markdown to HTML is exposed without authentication. A maliciously crafted markdown payload can cause the server to spend excessive time converting it, leading to a denial of service. The server becomes unresponsive to other requests until the conversion is complete.
Remote Code Execution in Calculate Function in parisneo/lollms
A remote code execution vulnerability exists in the Calculate function of parisneo/lollms version 9.8. The vulnerability arises from the use of Python's `eval()` function to evaluate mathematical expressions within a Python sandbox that disables `__builtins__` and only allows functions from the `math` module. This sandbox can be bypassed by loading the `os` module using the `_frozen_importlib.BuiltinImporter` class, allowing an attacker to execute arbitrary commands on the server. The issue is fixed in version 9.10.
Encryption of Arbitrary Files with Attacker-Controlled Key in h2oai/h2o-3
In h2oai/h2o-3 version 3.46.0, an endpoint exposing a custom EncryptionTool allows an attacker to encrypt any files on the target server with a key of their choosing. The chosen key can also be overwritten, resulting in ransomware-like behavior. This vulnerability makes it possible for an attacker to encrypt arbitrary files with keys of their choice, making it exceedingly difficult for the target to recover the keys needed for decryption.
A Server-Side Request Forgery (SSRF) vulnerability was identified in the lm-sys/fastchat web server, specifically in the affected version git 2c68a13. This vulnerability allows an attacker to access internal server resources and data that are otherwise inaccessible, such as AWS metadata credentials.
A Stored Cross-Site Scripting (XSS) vulnerability exists in the chat file upload functionality of open-webui/open-webui version 0.3.8. An attacker can inject malicious content into a file, which, when accessed by a victim through a URL or shared chat, executes JavaScript in the victim's browser. This can lead to user data theft, session hijacking, malware distribution, and phishing attacks.
A path traversal vulnerability exists in the save-workflow and load-workflow functionality of modelscope/agentscope versions prior to the fix. This vulnerability allows an attacker to read and write arbitrary JSON files on the filesystem, potentially leading to the exposure or modification of sensitive information such as configuration files, API keys, and hardcoded passwords.
In mlflow/mlflow version 2.18, an admin is able to create a new user account without setting a password. This vulnerability could lead to security risks, as accounts without passwords may be susceptible to unauthorized access. Additionally, this issue violates best practices for secure user account management. The issue is fixed in version 2.19.0.
A Cross-Site Request Forgery (CSRF) vulnerability exists in the Signup feature of mlflow/mlflow versions 2.17.0 to 2.20.1. This vulnerability allows an attacker to create a new account, which may be used to perform unauthorized actions on behalf of the malicious user.
In h2oai/h2o-3 version 3.46.0, the `/99/Models/{name}/json` endpoint allows for arbitrary file overwrite on the target server. The vulnerability arises from the `exportModelDetails` function in `ModelsHandler.java`, where the user-controllable `mexport.dir` parameter is used to specify the file path for writing model details. This can lead to overwriting files at arbitrary locations on the host system.
eosphoros-ai/db-gpt version 0.6.0 is vulnerable to an arbitrary file write through the knowledge API. The endpoint for uploading files as 'knowledge' is susceptible to absolute path traversal, allowing attackers to write files to arbitrary locations on the target server. This vulnerability arises because the 'doc_file.filename' parameter is user-controllable, enabling the construction of absolute paths.
Deserialization Vulnerability in BentoML's Runner Server in bentoml/bentoml
A deserialization vulnerability exists in BentoML's runner server in bentoml/bentoml versions <=1.3.4.post1. By setting specific parameters, an attacker can execute unauthorized arbitrary code on the server, causing severe harm. The vulnerability is triggered when the args-number parameter is greater than 1, leading to automatic deserialization and arbitrary code execution.
Denial of Service (DoS) via Multipart Boundary in lm-sys/fastchat
In lm-sys/fastchat Release v0.2.36, the server fails to handle excessive characters appended to the end of multipart boundaries. This flaw can be exploited by sending malformed multipart requests with arbitrary characters at the end of the boundary. Each extra character is processed in an infinite loop, leading to excessive resource consumption and a complete denial of service (DoS) for all users. The vulnerability is unauthenticated, meaning no user login or interaction is required for an attacker to exploit this issue.
Incorrect Authorization in gaizhenbiao/chuanhuchatgpt
An incorrect authorization vulnerability exists in gaizhenbiao/chuanhuchatgpt version git c91dbfc. The vulnerability allows any user to restart the server at will, leading to a complete loss of availability. The issue arises because the function responsible for restarting the server is not properly guarded by an admin check.
A stored cross-site scripting (XSS) vulnerability exists in the gaizhenbiao/chuanhuchatgpt repository, affecting version git 20b2e02. The vulnerability arises from improper sanitization of HTML tags in chat history uploads. Specifically, the sanitization logic fails to handle HTML tags within code blocks correctly, allowing an attacker to inject malicious scripts. This can lead to the execution of arbitrary JavaScript code in the context of the user's browser, potentially leading to identity theft or other malicious actions.
BentoML version v1.3.4post1 is vulnerable to a Denial of Service (DoS) attack. The vulnerability can be exploited by appending characters, such as dashes (-), to the end of a multipart boundary in an HTTP request. This causes the server to continuously process each character, leading to excessive resource consumption and rendering the service unavailable. The issue is unauthenticated and does not require any user interaction, impacting all users of the service.
A vulnerability in the `/3/ParseSetup` endpoint of h2oai/h2o-3 version 3.46.0.1 allows for a denial of service (DoS) attack. The endpoint applies a user-specified regular expression to a user-controllable string. This can be exploited by an attacker to cause inefficient regular expression complexity, leading to the exhaustion of server resources and making the server unresponsive.
A vulnerability in aimhubio/aim version 3.25.0 allows for a denial of service (DoS) attack. The issue arises when a large number of tracked metrics are retrieved simultaneously from the Aim web API, causing the web server to become unresponsive. The root cause is the lack of a limit on the number of metrics that can be requested per call, combined with the server's single-threaded nature, leading to excessive resource consumption and blocking of the server.
In version 3.23.0 of aimhubio/aim, certain methods that request data from external servers do not have set timeouts, causing the server to wait indefinitely for a response. This can lead to a denial of service, as the tracking server does not respond to other requests while waiting. The issue arises in the client used by the `aim` tracking server to communicate with external resources, specifically in the `_run_read_instructions` method and similar calls without timeouts.
A Remote Code Execution (RCE) vulnerability has been identified in the Kedro ShelveStore class (version 0.19.8). This vulnerability allows an attacker to execute arbitrary Python code via deserialization of malicious payloads, potentially leading to a full system compromise. The ShelveStore class uses Python's shelve module to manage session data, which relies on pickle for serialization. Crafting a malicious payload and storing it in the shelve file can lead to RCE when the payload is deserialized.