In multi-tenanted deployments, the application consent management mechanism fails to correctly isolate consent scopes between tenants. Consent granted by a user for a specific SaaS application within one tenant can be incorrectly applied to SaaS applications with the same name in other tenants, leading to unintended cross-tenant consent sharing.
This vulnerability may result in the exposure of user data across tenants, enabling SaaS applications in different tenants to access and modify information without explicit user authorization. This can lead to unauthorized data access and privacy violations. This vulnerability has no impact if the deployment does not support multi-tenancy.
In nltk/nltk versions 3.9.3 and earlier, five Stanford interface classes (StanfordPOSTagger, StanfordNERTagger, StanfordParser, StanfordDependencyParser, and StanfordNeuralDependencyParser) are vulnerable to untrusted JAR code execution. These classes accept user-controllable JAR paths and execute them via the `java()` function, which invokes `subprocess.Popen()` without integrity verification. This vulnerability is identical to CVE-2026-0848, which was fixed for StanfordSegmenter by adding SHA256 verification. However, the fix was not applied to these additional classes, leaving them susceptible to arbitrary code execution when loading untrusted JAR files.
Improper neutralization of input during web page generation ('cross-site scripting') in Microsoft Edge (Chromium-based) allows an unauthorized attacker to perform spoofing over a network.