Security Vulnerabilities
- CVEs Published In 2024
A Cross-Site Request Forgery (CSRF) vulnerability exists in the `install_comfyui` endpoint of the `lollms_comfyui.py` file in the parisneo/lollms-webui repository, versions v9.9 to the latest. The endpoint uses the GET method without requiring a client ID, allowing an attacker to trick a victim into installing ComfyUI. If the victim's device does not have sufficient capacity, this can result in a crash.
A CORS misconfiguration in parisneo/lollms-webui prior to version 10 allows attackers to steal sensitive information such as logs, browser sessions, and settings containing private API keys from other services. This vulnerability can also enable attackers to perform actions on behalf of a user, such as deleting a project or sending a message. The issue impacts the confidentiality and integrity of the information.
mudler/LocalAI version 2.17.1 allows for arbitrary file write due to improper handling of automatic archive extraction. When model configurations specify additional files as archives (e.g., .tar), these archives are automatically extracted after downloading. This behavior can be exploited to perform a 'tarslip' attack, allowing files to be written to arbitrary locations on the server, bypassing checks that normally restrict files to the models directory. This vulnerability can lead to remote code execution (RCE) by overwriting backend assets used by the server.
mudler/localai version 2.17.1 is vulnerable to a Timing Attack. This type of side-channel attack allows an attacker to compromise the cryptosystem by analyzing the time taken to execute cryptographic algorithms. Specifically, in the context of password handling, an attacker can determine valid login credentials based on the server's response time, potentially leading to unauthorized access.
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.
A Reflected Cross Site Scripting (XSS) vulnerability was found in /ifscfinder/index.php in PHPGurukul IFSC Code Finder Project v1.0, which allows remote attackers to execute arbitrary code via the "searchifsccode" parameter.
A Reflected Cross Site Scripting (XSS) vulnerability was found in /ifscfinder/admin/profile.php in PHPGurukul IFSC Code Finder Project v1.0, which allows remote attackers to execute arbitrary code via " searchifsccode" parameter.
A file overwrite vulnerability exists in gaizhenbiao/chuanhuchatgpt versions <= 20240410. This vulnerability allows an attacker to gain unauthorized access to overwrite critical configuration files within the system. Exploiting this vulnerability can lead to unauthorized changes in system behavior or security settings. Additionally, tampering with these configuration files can result in a denial of service (DoS) condition, disrupting normal system operation.
A path traversal vulnerability exists in the latest version of gaizhenbiao/chuanhuchatgpt. The vulnerability arises from unsanitized input handling in multiple features, including user upload, directory creation, and template loading. Specifically, the load_chat_history function in modules/models/base_model.py allows arbitrary file uploads, potentially leading to remote code execution (RCE). The get_history_names function in utils.py permits arbitrary directory creation. Additionally, the load_template function in utils.py can be exploited to leak the first column of CSV files. These issues stem from improper sanitization of user inputs concatenated with directory paths using os.path.join.
A vulnerability in the discussion image upload function of the Lollms application, version v9.9, allows for the uploading of SVG files. Due to incomplete filtering in the sanitize_svg function, this can lead to cross-site scripting (XSS) vulnerabilities, which in turn pose a risk of remote code execution. The sanitize_svg function only removes script elements and 'on*' event attributes, but does not account for other potential vectors for XSS within SVG files. This vulnerability can be exploited when authorized users access a malicious URL containing the crafted SVG file.