Security Vulnerabilities
- CVEs Published In 2024
mintplex-labs/anything-llm version latest contains a vulnerability where sensitive information, specifically a password, is improperly stored within a JWT (JSON Web Token) used as a bearer token in single user mode. When decoded, the JWT reveals the password in plaintext. This improper storage of sensitive information poses significant security risks, as an attacker who gains access to the JWT can easily decode it and retrieve the password. The issue is fixed in version 1.0.3.
A vulnerability in gaizhenbiao/chuanhuchatgpt version 20240628 allows for a Denial of Service (DOS) attack. When uploading a file, if an attacker appends a large number of characters to the end of a multipart boundary, the system will continuously process each character, rendering ChuanhuChatGPT inaccessible. This uncontrolled resource consumption can lead to prolonged unavailability of the service, disrupting operations and causing potential data inaccessibility and loss of productivity.
An arbitrary file read vulnerability exists in gaizhenbiao/chuanhuchatgpt version 20240628 due to insufficient validation when loading prompt template files. An attacker can read any file that matches specific criteria using an absolute path. The file must not have a .json extension and, except for the first line, every other line must contain commas. This vulnerability allows reading parts of format-compliant files, including code and log files, which may contain highly sensitive information such as account credentials.
In the latest version (20240628) of gaizhenbiao/chuanhuchatgpt, an issue exists in the /file endpoint that allows authenticated users to access the chat history of other users. When a user logs in, a directory is created in the history folder with the user's name. By manipulating the /file endpoint, an authenticated user can enumerate and access files in other users' directories, leading to unauthorized access to private chat histories. This vulnerability can be exploited to read any user's private chat history.
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.
lunary-ai/lunary v1.2.26 contains an email injection vulnerability in the Send email verification API (/v1/users/send-verification) and Sign up API (/auth/signup). An unauthenticated attacker can inject data into outgoing emails by bypassing the extractFirstName function using a different whitespace character (e.g., \xa0). This vulnerability can be exploited to conduct phishing attacks, damage the application's brand, cause legal and compliance issues, and result in financial impact due to unauthorized email usage.
An IDOR vulnerability exists in the 'Evaluations' function of the 'umgws datasets' section in lunary-ai/lunary versions 1.3.2. This vulnerability allows an authenticated user to update other users' prompts by manipulating the 'id' parameter in the request. The issue is fixed in version 1.4.3.
In version 1.3.2 of lunary-ai/lunary, an Insecure Direct Object Reference (IDOR) vulnerability exists. A user can view or delete external users by manipulating the 'id' parameter in the request URL. The application does not perform adequate checks on the 'id' parameter, allowing unauthorized access to external user data.
An improper access control vulnerability in lunary-ai/lunary version 1.3.2 allows an attacker to update the SAML configuration without authorization. This vulnerability can lead to manipulation of authentication processes, fraudulent login requests, and theft of user information. Appropriate access controls should be implemented to ensure that the SAML configuration can only be updated by authorized users.
A path traversal vulnerability exists in the `getFullPath` method of langchain-ai/langchainjs version 0.2.5. This vulnerability allows attackers to save files anywhere in the filesystem, overwrite existing text files, read `.txt` files, and delete files. The vulnerability is exploited through the `setFileContent`, `getParsedFile`, and `mdelete` methods, which do not properly sanitize user input.