RT is an open source, enterprise-grade issue and ticket tracking system. Versions prior to 5.0.10, 6.0.0 and above, prior to 6.0.3 contain an information disclosure and privilege escalation vulnerability in the REST 2.0 API. A privileged (non-administrative) user can obtain authentication credentials belonging to other users — including users with administrative privileges — and use those credentials to read data as those users via RT's feed endpoints. The same request that exposes the credentials also rotates them, invalidating previously-distributed feed URLs across the instance. This issue has been fixed in versions 5.0.10 and 6.0.3.
Best Practical Request Tracker (RT) before 4.4.7 and 5.x before 5.0.5 allows Information Disclosure via fake or spoofed RT email headers in an email message or a mail-gateway REST API call.
Cross-site scripting (XSS) vulnerability in Request Tracker (RT) 4.x before 4.0.25, 4.2.x before 4.2.14, and 4.4.x before 4.4.2, when the AlwaysDownloadAttachments config setting is not in use, allows remote attackers to inject arbitrary web script or HTML via a file upload with an unspecified content type.
Request Tracker (RT) 4.x before 4.0.25, 4.2.x before 4.2.14, and 4.4.x before 4.4.2 does not use a constant-time comparison algorithm for secrets, which makes it easier for remote attackers to obtain sensitive user password information via a timing side-channel attack.
Request Tracker (RT) 4.x before 4.0.25, 4.2.x before 4.2.14, and 4.4.x before 4.4.2 allows remote attackers to obtain sensitive information about cross-site request forgery (CSRF) verification tokens via a crafted URL.
The dashboard subscription interface in Request Tracker (RT) 4.x before 4.0.25, 4.2.x before 4.2.14, and 4.4.x before 4.4.2 might allow remote authenticated users with certain privileges to execute arbitrary code via a crafted saved search name.
Cross-site scripting (XSS) vulnerability in the cryptography interface in Request Tracker (RT) before 4.2.12 allows remote attackers to inject arbitrary web script or HTML via a crafted public key.