Security Vulnerabilities - CVEs Published In April 2024
mlflow/mlflow is vulnerable to Local File Inclusion (LFI) due to improper parsing of URIs, allowing attackers to bypass checks and read arbitrary files on the system. The issue arises from the 'is_local_uri' function's failure to properly handle URIs with empty or 'file' schemes, leading to the misclassification of URIs as non-local. Attackers can exploit this by crafting malicious model versions with specially crafted 'source' parameters, enabling the reading of sensitive files within at least two directory levels from the server's root.
CVSS Score
9.3
EPSS Score
0.002
Published
2024-04-16
In scrapy version 2.10.1, an issue was identified where the Authorization header, containing credentials for server authentication, is leaked to a third-party site during a cross-domain redirect. This vulnerability arises from the failure to remove the Authorization header when redirecting across domains. The exposure of the Authorization header to unauthorized actors could potentially allow for account hijacking.
CVSS Score
7.5
EPSS Score
0.001
Published
2024-04-16
Cross-site Scripting (XSS) - Stored in mindsdb/mindsdb
CVSS Score
5.8
EPSS Score
0.002
Published
2024-04-16
A directory traversal vulnerability exists in the zenml-io/zenml repository, specifically within the /api/v1/steps endpoint. Attackers can exploit this vulnerability by manipulating the 'logs' URI path in the request to fetch arbitrary file content, bypassing intended access restrictions. The vulnerability arises due to the lack of validation for directory traversal patterns, allowing attackers to access files outside of the restricted directory.
CVSS Score
9.9
EPSS Score
0.005
Published
2024-04-16
A session fixation vulnerability exists in the zenml-io/zenml application, where JWT tokens used for user authentication are not invalidated upon logout. This flaw allows an attacker to bypass authentication mechanisms by reusing a victim's JWT token.
CVSS Score
4.2
EPSS Score
0.001
Published
2024-04-16
mintplex-labs/anything-llm is vulnerable to improper input validation, allowing attackers to read and delete arbitrary files on the server. By manipulating the 'logo_filename' parameter in the 'system-preferences' API endpoint, an attacker can construct requests to read sensitive files or the application's '.env' file, and even delete files by setting the 'logo_filename' to the path of the target file and invoking the 'remove-logo' API endpoint. This vulnerability is due to the lack of proper sanitization of user-supplied input.
CVSS Score
7.2
EPSS Score
0.002
Published
2024-04-16
In mintplex-labs/anything-llm, an attacker can exploit improper input validation by sending a malformed JSON payload to the '/system/enable-multi-user' endpoint. This triggers an error that is caught by a catch block, which in turn deletes all users and disables the 'multi_user_mode'. The vulnerability allows an attacker to remove all existing users and potentially create a new admin user without requiring a password, leading to unauthorized access and control over the application.
CVSS Score
9.0
EPSS Score
0.002
Published
2024-04-16
In lunary-ai/lunary version 1.0.0, an authorization flaw exists that allows unauthorized radar creation. The vulnerability stems from the lack of server-side checks to verify if a user is on a free account during the radar creation process, which is only enforced in the web UI. As a result, attackers can bypass the intended account upgrade requirement by directly sending crafted requests to the server, enabling the creation of an unlimited number of radars without payment.
CVSS Score
7.5
EPSS Score
0.001
Published
2024-04-16
An incorrect authorization vulnerability exists in the lunary-ai/lunary repository, specifically within the evaluations.get route in the evaluations API endpoint. This vulnerability allows unauthorized users to retrieve the results of any organization's evaluation by simply knowing the evaluation ID, due to the lack of project ID verification in the SQL query. As a result, attackers can gain access to potentially private data contained within the evaluation results.
CVSS Score
7.5
EPSS Score
0.002
Published
2024-04-16
lunary-ai/lunary is vulnerable to an authentication issue due to improper validation of email addresses during the signup process. Specifically, the server fails to treat email addresses as case insensitive, allowing the creation of multiple accounts with the same email address by varying the case of the email characters. For example, accounts for 'abc@gmail.com' and 'Abc@gmail.com' can both be created, leading to potential impersonation and confusion among users.
CVSS Score
7.5
EPSS Score
0.002
Published
2024-04-16