Security Vulnerabilities
- CVEs Published In March 2025
A path traversal vulnerability exists in the 'document uploads manager' feature of mintplex-labs/anything-llm, affecting the latest version prior to 1.2.2. This vulnerability allows users with the 'manager' role to access and manipulate the 'anythingllm.db' database file. By exploiting the vulnerable endpoint '/api/document/move-files', an attacker can move the database file to a publicly accessible directory, download it, and subsequently delete it. This can lead to unauthorized access to sensitive data, privilege escalation, and potential data loss.
A vulnerability in the `/3/Parse` endpoint of h2oai/h2o-3 version 3.46.0.1 allows for a denial of service (DoS) attack. The endpoint uses a user-specified string to construct a regular expression, which is then applied to another user-specified string. By sending multiple simultaneous requests, an attacker can exhaust all available threads, leading to a complete denial of 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 the h2oai/h2o-3 REST API versions 3.46.0.4 allows unauthenticated remote attackers to execute arbitrary code via deserialization of untrusted data. The vulnerability exists in the endpoints POST /99/ImportSQLTable and POST /3/SaveToHiveTable, where user-controlled JDBC URLs are passed to DriverManager.getConnection, leading to deserialization if a MySQL or PostgreSQL driver is available in the classpath. This issue is fixed in version 3.47.0.
A vulnerability in the dataframe component of gradio-app/gradio (version git 98cbcae) allows for a zip bomb attack. The component uses pd.read_csv to process input values, which can accept compressed files. An attacker can exploit this by uploading a maliciously crafted zip bomb, leading to a server crash and causing a denial of service.
In h2oai/h2o-3 version 3.46.0.1, the `run_tool` command exposes classes in the `water.tools` package through the `ast` parser. This includes the `XGBoostLibExtractTool` class, which can be exploited to shut down the server and write large files to arbitrary directories, leading to a denial of service.
A Regular Expression Denial of Service (ReDoS) vulnerability exists in the gradio-app/gradio repository, affecting the gr.Datetime component. The affected version is git commit 98cbcae. The vulnerability arises from the use of a regular expression `^(?:\s*now\s*(?:-\s*(\d+)\s*([dmhs]))?)?\s*$` to process user input. In Python's default regex engine, this regular expression can take polynomial time to match certain crafted inputs. An attacker can exploit this by sending a crafted HTTP request, causing the gradio process to consume 100% CPU and potentially leading to a Denial of Service (DoS) condition on the server.
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.
In lunary-ai/lunary version 1.5.6, the `/v1/evaluators/` endpoint lacks proper access control, allowing any user associated with a project to fetch all evaluator data regardless of their role. This vulnerability permits low-privilege users to access potentially sensitive evaluation data.
In danny-avila/librechat version v0.7.5-rc2, a vulnerability exists in the preset creation functionality where a user can manipulate the user ID field through mass assignment. This allows an attacker to inject a different user ID into the preset object, causing the preset to appear in the UI of another user. The vulnerability arises because the backend saves the entire object received without validating the attributes and their values, impacting both integrity and confidentiality.