| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| In version 1.5.5 of lunary-ai/lunary, a vulnerability exists where admins, who do not have direct permissions to access billing resources, can change the permissions of existing users to include billing permissions. This can lead to a privilege escalation scenario where an administrator can manage billing, effectively bypassing the intended role-based access control. Only users with the 'owner' role should be allowed to invite members with billing permissions. This flaw allows admins to circumvent those restrictions, gaining unauthorized access and control over billing information, posing a risk to the organization’s financial resources. |
| An improper authorization vulnerability exists in lunary-ai/lunary version 1.5.5. The /users/me/org endpoint lacks adequate access control mechanisms, allowing unauthorized users to access sensitive information about all team members in the current organization. This vulnerability can lead to the disclosure of sensitive information such as names, roles, or emails to users without sufficient privileges, resulting in privacy violations and potential reconnaissance for targeted attacks. |
| 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. |
| lunary-ai/lunary is vulnerable to broken access control in the latest version. An attacker can view the content of any dataset without any kind of authorization by sending a GET request to the /v1/datasets endpoint without a valid authorization token. |
| A vulnerability in haotian-liu/llava v1.2.0 allows an attacker to cause a Denial of Service (DoS) by appending a large number of characters to the end of a multipart boundary in a file upload request. This causes the server to continuously process each character, rendering the application inaccessible. |
| The `add_llm` function in `llm_app.py` in infiniflow/ragflow version 0.11.0 contains a remote code execution (RCE) vulnerability. The function uses user-supplied input `req['llm_factory']` and `req['llm_name']` to dynamically instantiate classes from various model dictionaries. This approach allows an attacker to potentially execute arbitrary code due to the lack of comprehensive input validation or sanitization. An attacker could provide a malicious value for 'llm_factory' that, when used as an index to these model dictionaries, results in the execution of arbitrary code. |
| A vulnerability in the `start_app_server` function of parisneo/lollms-webui V12 (Strawberry) allows for path traversal and OS command injection. The function does not properly sanitize the `app_name` parameter, enabling an attacker to upload a malicious `server.py` file and execute arbitrary code by exploiting the path traversal vulnerability. |
| A vulnerability in mlflow/mlflow version 8.2.1 allows for remote code execution due to improper neutralization of special elements used in an OS command ('Command Injection') within the `mlflow.data.http_dataset_source.py` module. Specifically, when loading a dataset from a source URL with an HTTP scheme, the filename extracted from the `Content-Disposition` header or the URL path is used to generate the final file path without proper sanitization. This flaw enables an attacker to control the file path fully by utilizing path traversal or absolute path techniques, such as '../../tmp/poc.txt' or '/tmp/poc.txt', leading to arbitrary file write. Exploiting this vulnerability could allow a malicious user to execute commands on the vulnerable machine, potentially gaining access to data and model information. The issue is fixed in version 2.9.0. |
| Flask-AppBuilder is an application development framework. Prior to version 4.5.1, the auth DB login form default cache directives allows browser to locally store sensitive data. This can be an issue on environments using shared computer resources. Version 4.5.1 contains a patch for this issue. If upgrading is not possible, configure one's web server to send the specific HTTP headers for `/login` per the directions provided in the GitHub Security Advisory. |
| 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 Server-Side Request Forgery (SSRF) vulnerability was discovered in gaizhenbiao/chuanhuchatgpt version 20240914. The vulnerability allows an attacker to construct a response link by saving the response in a folder named after the SHA-1 hash of the target URL. This enables the attacker to access the response directly, potentially leading to unauthorized access to internal systems, data theft, service disruption, or further attacks such as port scanning and accessing metadata endpoints. |
| A Cross-Site Request Forgery (CSRF) vulnerability in haotian-liu/llava v1.2.0 (LLaVA-1.6) allows an attacker to upload files with malicious content without authentication or user interaction. The uploaded file is stored in a predictable path, enabling the attacker to execute arbitrary JavaScript code in the context of the victim's browser by visiting the crafted file URL. This can lead to theft of sensitive information, session hijacking, or other actions compromising the security and privacy of the victim. |
| In composiohq/composio version 0.5.10, the API does not validate the `x-api-key` header's value during the authentication step. This vulnerability allows an attacker to bypass authentication by providing any random value in the `x-api-key` header, thereby gaining unauthorized access to the server. |
| 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. |
| A vulnerability in the GraphCypherQAChain class of langchain-ai/langchain version 0.2.5 allows for SQL injection through prompt injection. This vulnerability can lead to unauthorized data manipulation, data exfiltration, denial of service (DoS) by deleting all data, breaches in multi-tenant security environments, and data integrity issues. Attackers can create, update, or delete nodes and relationships without proper authorization, extract sensitive data, disrupt services, access data across different tenants, and compromise the integrity of the database. |
| A vulnerability in the GraphCypherQAChain class of langchain-ai/langchainjs versions 0.2.5 and all versions with this class allows for prompt injection, leading to SQL injection. This vulnerability permits unauthorized data manipulation, data exfiltration, denial of service (DoS) by deleting all data, breaches in multi-tenant security environments, and data integrity issues. Attackers can create, update, or delete nodes and relationships without proper authorization, extract sensitive data, disrupt services, access data across different tenants, and compromise the integrity of the database. |
| 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. |
| BerriAI/litellm version v1.35.8 contains a vulnerability where an attacker can achieve remote code execution. The vulnerability exists in the `add_deployment` function, which decodes and decrypts environment variables from base64 and assigns them to `os.environ`. An attacker can exploit this by sending a malicious payload to the `/config/update` endpoint, which is then processed and executed by the server when the `get_secret` function is triggered. This requires the server to use Google KMS and a database to store a model. |
| An open redirect vulnerability exists in the gradio-app/gradio, affecting the latest version. The vulnerability allows an attacker to redirect users to arbitrary websites, which can be exploited for phishing attacks, Cross-site Scripting (XSS), Server-Side Request Forgery (SSRF), amongst others. This issue is due to improper validation of user-supplied input in the handling of URLs. Attackers can exploit this vulnerability by crafting a malicious URL that, when processed by the application, redirects the user to an attacker-controlled web page. |
| A Denial-of-Service (DoS) vulnerability exists in the `SitemapLoader` class of the `langchain-ai/langchain` repository, affecting all versions. The `parse_sitemap` method, responsible for parsing sitemaps and extracting URLs, lacks a mechanism to prevent infinite recursion when a sitemap URL refers to the current sitemap itself. This oversight allows for the possibility of an infinite loop, leading to a crash by exceeding the maximum recursion depth in Python. This vulnerability can be exploited to occupy server socket/port resources and crash the Python process, impacting the availability of services relying on this functionality. |
