CVE Database

In mlflow/mlflow version v2.13.2, a vulnerability exists that allows the creation or renaming of an experiment with a large number of integers in its name due to the lack of a limit on the experiment name. This can cause the MLflow UI panel to become unresponsive, leading to a potential denial of service. Additionally, there is no character limit in the `artifact_location` parameter while creating the experiment.

A path traversal vulnerability exists in the latest version of stangirard/quivr. This vulnerability allows an attacker to upload files to arbitrary paths in an S3 bucket by manipulating the file path in the upload request.

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.

A vulnerability in the `runs/delete-batch` endpoint of aimhubio/aim version 3.19.3 allows for arbitrary file or directory deletion through path traversal. The endpoint does not mitigate path traversal when handling user-specified run-names, which are used to specify log/metadata files for deletion. This can be exploited to delete arbitrary files or directories, potentially causing denial of service or data loss.

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 vulnerability in the `KnowledgeBaseWebReader` class of the run-llama/llama_index repository, version latest, allows an attacker to cause a Denial of Service (DoS) by controlling a URL variable to contain the root URL. This leads to infinite recursive calls to the `get_article_urls` method, exhausting system resources and potentially crashing the application.

A vulnerability in infiniflow/ragflow version RAGFlow-0.13.0 allows for partial account takeover via insecure data querying. The issue arises from the way tenant IDs are handled in the application. If a user has access to multiple tenants, they can manipulate their tenant access to query and access API tokens of other tenants. This vulnerability affects the following endpoints: /v1/system/token_list, /v1/system/new_token, /v1/api/token_list, /v1/api/new_token, and /v1/api/rm. An attacker can exploit this to access other tenants' API tokens, perform actions on behalf of other tenants, and access their data.

An XSS vulnerability in infiniflow/ragflow version 0.12.0 allows an attacker to upload a malicious PDF file to the knowledge base. When the file is viewed within Ragflow, the payload is executed in the context of the user's browser. This can lead to session hijacking, data exfiltration, or unauthorized actions performed on behalf of the victim, compromising sensitive user data and affecting the integrity of the entire application.

A stored cross-site scripting (XSS) vulnerability exists in infiniflow/ragflow, affecting the latest commit on the main branch (cec2080). The vulnerability allows an attacker to upload HTML/XML files that can host arbitrary JavaScript payloads. These files are served with the 'application/xml' content type, which is automatically rendered by browsers. This can lead to the execution of arbitrary JavaScript in the context of the user's browser, potentially allowing attackers to steal cookies and gain unauthorized access to user files and resources. The vulnerability does not require authentication, making it accessible to anyone with network access to the instance.

In infiniflow/ragflow version v0.12.0, there is an improper authentication vulnerability that allows a user to view another user's invite list. This can lead to a privacy breach where users' personal or private information, such as email addresses or usernames in the invite list, could be exposed without their consent. This data leakage can facilitate further attacks, such as phishing or spam, and result in loss of trust and potential regulatory issues.

A vulnerability in aimhubio/aim version 3.25.0 allows for a denial of service through the misuse of the sshfs-client. The tracking server, which is single-threaded, can be made unresponsive by requesting it to connect to an unresponsive socket via sshfs. The lack of an additional timeout setting in the sshfs-client causes the server to hang for a significant amount of time, preventing it from responding to other requests.

langgenius/dify version 0.10.1 contains a Server-Side Request Forgery (SSRF) vulnerability in the test functionality for the Create Custom Tool option via the REST API `POST /console/api/workspaces/current/tool-provider/api/test/pre`. Attackers can set the `url` in the `servers` dictionary in OpenAI's schema with arbitrary URL targets, allowing them to abuse the victim server's credentials to access unauthorized web resources.

A vulnerability in danny-avila/librechat prior to version 0.7.6 allows for logs debug injection. The parameters sessionId, fileId, userId, and file_id in the /code/download/:sessionId/:fileId and /download/:userId/:file_id APIs are not validated or filtered, leading to potential log injection attacks. This can cause distortion of monitoring and investigation information, evade detection from security systems, and create difficulties in maintenance and operation.

A Server-Side Request Forgery (SSRF) vulnerability exists in binary-husky/gpt_academic version git 310122f. The application has a functionality to download papers from arxiv.org, but the URL validation is incomplete. An attacker can exploit this vulnerability to make the application access any URL, including internal services, and read the response. This can be used to access data that are only accessible from the server, such as AWS metadata credentials, and can escalate local exploits to network-based attacks.

A vulnerability in binary-husky/gpt_academic, as of commit 310122f, allows for a Regular Expression Denial of Service (ReDoS) attack. The function '解析项目源码（手动指定和筛选源码文件类型）' permits the execution of user-provided regular expressions. Certain regular expressions can cause the Python RE engine to take exponential time to execute, leading to a Denial of Service (DoS) condition. An attacker who controls both the regular expression and the search string can exploit this vulnerability to hang the server for an arbitrary amount of time.

A vulnerability in binary-husky/gpt_academic version 310122f allows for a Regular Expression Denial of Service (ReDoS) attack. The application uses a regular expression to parse user input, which can take polynomial time to match certain crafted inputs. This allows an attacker to send a small malicious payload to the server, causing it to become unresponsive and unable to handle any requests from other users.

A vulnerability in the binary-husky/gpt_academic repository, as of commit git 3890467, allows an attacker to crash the server by uploading a specially crafted zip bomb. The server decompresses the uploaded file and attempts to load it into memory, which can lead to an out-of-memory crash. This issue arises due to improper input validation when handling compressed file uploads.

A local file inclusion vulnerability was identified in automatic1111/stable-diffusion-webui, affecting version git 82a973c. This vulnerability allows an attacker to read arbitrary files on the system by sending a specially crafted request to the application.

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 gradio-app/gradio repository, version git 67e4044, allows for path traversal on Windows OS. The implementation of the blocked_path functionality, which is intended to disallow users from reading certain files, is flawed. Specifically, while the application correctly blocks access to paths like 'C:/tmp/secret.txt', it fails to block access when using NTFS Alternate Data Streams (ADS) syntax, such as 'C:/tmp/secret.txt::$DATA'. This flaw can lead to unauthorized reading of blocked file paths.

A Denial of Service (DoS) vulnerability was discovered in the file upload feature of automatic1111/stable-diffusion-webui version 1.10.0. The vulnerability is due to improper handling of form-data with a large filename in the file upload request. By sending a payload with an excessively large filename, the server becomes overwhelmed and unresponsive, leading to unavailability for legitimate users. This issue can be exploited without authentication, making it highly scalable and increasing the risk of exploitation.

A stored cross-site scripting (XSS) vulnerability exists in the latest version of langgenius/dify. The vulnerability is due to improper validation and sanitization of user input in SVG markdown support within the chatbot feature. An attacker can exploit this vulnerability by injecting malicious SVG content, which can execute arbitrary JavaScript code when viewed by an admin, potentially leading to credential theft.

A privilege escalation vulnerability exists in langgenius/dify version 0.9.1. This vulnerability allows a normal user to modify Orchestrate instructions for a chatbot created by an admin user. The issue arises because the application does not properly enforce access controls on the endpoint /console/api/apps/{chatbot-id}/model-config, allowing unauthorized users to alter chatbot configurations.

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 lunary-ai/lunary before version 1.6.3, the application allows the creation of evaluators without enforcing a unique constraint on the combination of projectId and slug. This allows an attacker to overwrite existing data by submitting a POST request with the same slug as an existing evaluator. The lack of database constraints or application-layer validation to prevent duplicates exposes the application to data integrity issues. This vulnerability can result in corrupted data and potentially malicious actions, impairing the system's functionality.

In lunary-ai/lunary before version 1.6.3, an improper access control vulnerability exists where a user can access prompt data of another user. This issue affects version 1.6.2 and the main branch. The vulnerability allows unauthorized users to view sensitive prompt data by accessing specific URLs, leading to potential exposure of critical information.

An unhandled exception in the danny-avila/librechat repository, version git 600d217, can cause the server to crash, leading to a full denial of service. This issue occurs when certain API endpoints receive malformed input, resulting in an uncaught exception. Although a valid JWT is required to exploit this vulnerability, LibreChat allows open registration, enabling unauthenticated attackers to create an account and perform the attack. The issue is fixed in version 0.7.6.

An improper access control vulnerability in danny-avila/librechat versions prior to 0.7.6 allows authenticated users to delete other users' prompts via the groupid parameter. This issue occurs because the endpoint does not verify whether the provided prompt ID belongs to the current user.

An open redirect vulnerability in automatic1111/stable-diffusion-webui version 1.10.0 allows a remote unauthenticated attacker to redirect users to arbitrary websites via a specially crafted URL. This vulnerability can be exploited to conduct phishing attacks, distribute malware, and steal user credentials.

A path traversal vulnerability exists in binary-husky/gpt_academic at commit 679352d, which allows an attacker to bypass the blocked_paths protection and read the config.py file containing sensitive information such as the OpenAI API key. This vulnerability is exploitable on Windows operating systems by accessing a specific URL that includes the absolute path of the project.