MUNGE (MUNGE Uid 'N' Gid Emporium) is an authentication service for creating and validating credentials. It is designed to be highly scalable for use in an HPC cluster environment. It allows a process to authenticate the UID and GID of another local or remote process within a group of hosts having common users and groups. These hosts form a security realm that is defined by a shared cryptographic key. Clients within this security realm can create and validate credentials without the use of root privileges, reserved ports, or platform-specific methods.
htmLawed is a PHP script that makes input text more secure, HTML standards-compliant, and suitable in general from the viewpoint of a Web-page administrator, for use in the body of HTML 4 or XHTML 1 or 1.1 documents. It is a customizable HTML/XHTML filter, processor, purifier, and sanitizer. It can ensure that HTML tags are balanced and properly nested tags, neutralize code that may be used for cross-site scripting (XSS) attacks, and limit the allowed HTML elements, tags, attributes, or URL protocols.
AuthenticRoast allows you to build highly flexible authentication mechanisms for the Java Web tier. This can be anything from HTTP Basic authentication to authenticating with openid, facebook, or your company's Kerberos setup. The authentication modules can be combined at will and even changed at runtime. This currently works for glassfish and plain Tomcat, and allows you to use all the features of container-managed security without being constrained to the simple login methods provided.
C-ICAP Classify is a module that allows classification (labeling) of Web pages, images, and soon video based on content. Labels are placed in HTTP headers. Any PIC-Label META tags are exported into HTTP headers. This allows for creation of very flexible filters according to rules defined by the user, using the ICAP enabled proxy's ACLs. It is not a URL filter, so implementing it with sslBump or similar proxy technologies makes it very difficult to bypass. Text classification is done using Fast Hyperspace (based on Hyperspace from CRM114) and/or a Fast Naive Bayes. Image and video (when implemented) use haar feature detection from the OpenCV library.