Security Vulnerabilities
- CVEs Published In November 2024
A vulnerability, which was classified as problematic, was found in SourceCodester Best House Rental Management System 1.0. Affected is an unknown function of the file /rental/ajax.php?action=delete_user of the component POST Request Handler. The manipulation leads to cross-site request forgery. It is possible to launch the attack remotely. The exploit has been disclosed to the public and may be used.
An issue has been discovered in GitLab EE affecting all versions starting from 17.3 before 17.3.7, all versions starting from 17.4 before 17.4.4, all versions starting from 17.5 before 17.5.2 in which an unauthenticated user may be able to read some information about an MR in a private project, under certain circumstances.
A Denial of Service (DoS) issue has been discovered in GitLab CE/EE affecting all versions prior to 12.6 prior to 17.4.5, 17.5 prior to 17.5.3, and 17.6 prior to 17.6.1. An attacker could cause a denial of service with a crafted cargo.toml file.
A cross-site scripting (XSS) vulnerability in the Article module of SPIP v4.3.3 allows authenticated attackers to execute arbitrary web scripts or HTML via injecting a crafted payload into the Title parameter.
An issue has been discovered in GitLab CE/EE affecting all versions from 8.12 before 17.4.5, 17.5 before 17.5.3, and 17.6 before 17.6.1. This issue allows an attacker with access to a victim's Personal Access Token (PAT) to escalate privileges.
An issue was discovered in GitLab CE/EE affecting all versions starting from 15.6 prior to 17.4.5, starting from 17.5 prior to 17.5.3, starting from 17.6 prior to 17.6.1 which could cause Denial of Service via integrating a malicious harbor registry.
An authenticated arbitrary file upload vulnerability in the Documents module of SPIP v4.3.3 allows attackers to execute arbitrary code via uploading a crafted PDF file.
Fides is an open-source privacy engineering platform. The user invite acceptance API endpoint lacks server-side password policy enforcement, allowing users to set arbitrarily weak passwords by bypassing client-side validation. While the UI enforces password complexity requirements, direct API calls can circumvent these checks, enabling the creation of accounts with passwords as short as a single character. When an email messaging provider is enabled and a new user account is created in the system, an invite email containing a special link is sent to the new user's email address. This link directs the new user to a page where they can set their initial password. While the user interface implements password complexity checks, these validations are only performed client-side. The underlying `/api/v1/user/accept-invite` API endpoint does not implement the same password policy validations. This vulnerability allows an invited user to set an extremely weak password for their own account during the initial account setup process. Therefore that specific user's account can be compromised easily by an attacker guessing or brute forcing the password. The vulnerability has been patched in Fides version `2.50.0`. Users are advised to upgrade to this version or later to secure their systems against this threat. There are no known workarounds for this vulnerability.
Lobe Chat is an open-source, AI chat framework. Versions of lobe-chat prior to 1.19.13 have an unauthorized ssrf vulnerability. An attacker can construct malicious requests to cause SSRF without logging in, attack intranet services, and leak sensitive information. The jwt token header X-Lobe-Chat-Auth strored proxy address and OpenAI API Key, can be modified to scan an internal network in the target lobe-web environment. This issue has been addressed in release version 1.19.13 and all users are advised to upgrade. There are no known workarounds for this vulnerability.
An issue has been discovered in GitLab CE/EE affecting all versions from 16.11 before 17.4.5, 17.5 before 17.5.3, and 17.6 before 17.6.1. Long-lived connections could potentially bypass authentication controls, allowing unauthorized access to streaming results.