Buffer Over-read, Off-by-one Error vulnerability in RTI Connext Professional (Core Libraries) allows File Manipulation.This issue affects Connext Professional: from 7.4.0 before 7.6.0, from 7.0.0 before 7.3.0.8, from 6.1.0 before 6.1.2.26, from 6.0.0 before 6.0.*, from 5.3.0 before 5.3.*, from 4.4a before 5.2.*.
Untrusted Pointer Dereference vulnerability in RTI Connext Professional (Core Libraries) allows Pointer Manipulation.This issue affects Connext Professional: from 7.4.0 before 7.6.0, from 7.2.0 before 7.3.0.9.
SQL Injection vulnerability in CSZ-CMS v.1.3.0 allows a remote attacker to execute arbitrary code via the execSqlFile function in the Plugin_Manager.php file.
An authentication bypass vulnerability exists in multiple WSO2 products when FIDO authentication is enabled. When a user account is deleted, the system does not automatically remove associated FIDO registration data. If a new user account is later created using the same username, the system may associate the new account with the previously registered FIDO device.
This flaw may allow a previously deleted user to authenticate using their FIDO credentials and impersonate the newly created user, resulting in unauthorized access. The vulnerability applies only to deployments that utilize FIDO-based authentication.
A reflected cross-site scripting (XSS) vulnerability exists in the account registration flow of WSO2 Identity Server due to improper output encoding. A malicious actor can exploit this vulnerability by injecting a crafted payload that is reflected in the server response, enabling the execution of arbitrary JavaScript in the victim's browser.
This vulnerability could allow attackers to redirect users to malicious websites, modify the user interface, or exfiltrate data from the browser. However, session-related sensitive cookies are protected using the httpOnly flag, which mitigates the risk of session hijacking.
A cross-tenant authentication vulnerability exists in multiple WSO2 products due to improper cryptographic design in Adaptive Authentication. A single cryptographic key is used across all tenants to sign authentication cookies, allowing a privileged user in one tenant to forge authentication cookies for users in other tenants.
Because the Auto-Login feature is enabled by default, this flaw may allow an attacker to gain unauthorized access and potentially take over accounts in other tenants. Successful exploitation requires access to Adaptive Authentication functionality, which is typically restricted to high-privileged users. The vulnerability is only exploitable when Auto-Login is enabled, reducing its practical impact in deployments where the feature is disabled.
A content spoofing vulnerability exists in multiple WSO2 products due to improper error message handling. Under certain conditions, error messages are passed through URL parameters without validation, allowing malicious actors to inject arbitrary content into the UI.
By exploiting this vulnerability, attackers can manipulate browser-displayed error messages, enabling social engineering attacks through deceptive or misleading content.
A stored cross-site scripting (XSS) vulnerability in the Admin Log Viewer of S-Cart <=10.0.3 allows a remote authenticated attacker to inject arbitrary web script or HTML via a crafted User-Agent header. The script is executed in an administrator's browser when they view the security log page, which could lead to session hijacking or other malicious actions.
The huggingface/transformers library, versions prior to 4.53.0, is vulnerable to Regular Expression Denial of Service (ReDoS) in the AdamWeightDecay optimizer. The vulnerability arises from the _do_use_weight_decay method, which processes user-controlled regular expressions in the include_in_weight_decay and exclude_from_weight_decay lists. Malicious regular expressions can cause catastrophic backtracking during the re.search call, leading to 100% CPU utilization and a denial of service. This issue can be exploited by attackers who can control the patterns in these lists, potentially causing the machine learning task to hang and rendering services unresponsive.