Applications that use UriComponentsBuilder to parse an externally provided URL (e.g. through a query parameter) AND perform validation checks on the host of the parsed URL may be vulnerable to a open redirect https://cwe.mitre.org/data/definitions/601.html  attack or to a SSRF attack if the URL is used after passing validation checks. This is the same as CVE-2024-22259 https://spring.io/security/cve-2024-22259  and CVE-2024-22243 https://spring.io/security/cve-2024-22243 , but with different input.

An issue in Typora v.1.8.10 and before, allows a local attacker to obtain sensitive information and execute arbitrary code via a crafted payload to the src component.

Cross Site Scripting (XSS) vulnerability in Typora v.1.6.7 and before, allows a local attacker to obtain sensitive information via a crafted script during markdown file creation.

Cross Site Scripting (XSS) vulnerability in Xunruicms versions 4.6.3 and before, allows remote attacker to execute arbitrary code via the Security.php file in the catalog \XunRuiCMS\dayrui\Fcms\Library.

Cross-site Scripting (XSS) - Stored in mindsdb/mindsdb

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.

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.

The scrapy/scrapy project is vulnerable to XML External Entity (XXE) attacks due to the use of lxml.etree.fromstring for parsing untrusted XML data without proper validation. This vulnerability allows attackers to perform denial of service attacks, access local files, generate network connections, or circumvent firewalls by submitting specially crafted XML data.

langchain-ai/langchain is vulnerable to path traversal due to improper limitation of a pathname to a restricted directory ('Path Traversal') in its LocalFileStore functionality. An attacker can leverage this vulnerability to read or write files anywhere on the filesystem, potentially leading to information disclosure or remote code execution. The issue lies in the handling of file paths in the mset and mget methods, where user-supplied input is not adequately sanitized, allowing directory traversal sequences to reach unintended directories.

A command injection vulnerability exists in the run-llama/llama_index repository, specifically within the safe_eval function. Attackers can bypass the intended security mechanism, which checks for the presence of underscores in code generated by LLM, to execute arbitrary code. This is achieved by crafting input that does not contain an underscore but still results in the execution of OS commands. The vulnerability allows for remote code execution (RCE) on the server hosting the application.

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.

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.

An issue in JNT Telecom JNT Liftcom UMS V1.J Core Version JM-V15 allows a remote attacker to execute arbitrary code via the Network Troubleshooting functionality.

An insecure deserialization vulnerability exists in the BentoML framework, allowing remote code execution (RCE) by sending a specially crafted POST request. By exploiting this vulnerability, attackers can execute arbitrary commands on the server hosting the BentoML application. The vulnerability is triggered when a serialized object, crafted to execute OS commands upon deserialization, is sent to any valid BentoML endpoint. This issue poses a significant security risk, enabling attackers to compromise the server and potentially gain unauthorized access or control.

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.

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.

vertaai/modeldb is vulnerable to a path traversal attack due to improper sanitization of user-supplied file paths in its file upload functionality. Attackers can exploit this vulnerability to write arbitrary files anywhere in the file system by manipulating the 'artifact_path' parameter. This flaw can lead to Remote Code Execution (RCE) by overwriting critical files, such as the application's configuration file, especially when the application is run outside of Docker. The vulnerability is present in the NFSController.java and NFSService.java components of the application.

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.

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.

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.