A system and method are provided for identifying inappropriate content in websites on a network. Unrecognized uniform resource locators (URLs) or other web content are accessed by workstations and are identified as possibly having malicious content. The URLs or web content may be preprocessed within a gateway server module or some other software module to collect additional information related to the URLs. The URLs may be scanned for known attack signatures, and if any are found, they may be tagged as candidate URLs in need of further analysis by a classification module.

System and method of analyzing web content

Spam filters often use the reputation of an IP address (or IP address range) to classify email senders. This approach worked well when most spam originated from senders with fixed IP addresses, but spam today is also sent from IP addresses for which blacklist maintainers have outdated or inaccurate information (or no information at all). Spam campaigns also involve many senders, reducing the amount of spam any particular IP address sends to a single domain; this method allows spammers to stay "under the radar". The dynamism of any particular IP address begs for blacklisting techniques that automatically adapt as the senders of spam change.This paper presents SpamTracker, a spam filtering system that uses a new technique called behavioral blacklisting to classify email senders based on their sending behavior rather than their identity. Spammers cannot evade SpamTracker merely by using "fresh" IP addresses because blacklisting decisions are based on sending patterns, which tend to remain more invariant. SpamTracker uses fast clustering algorithms that react quickly to changes in sending patterns. We evaluate SpamTracker's ability to classify spammers using email logs for over 115 email domains; we find that SpamTracker can correctly classify many spammers missed by current filtering techniques. Although our current datasets prevent us from confirming SpamTracker's ability to completely distinguish spammers from legitimate senders, our evaluation shows that SpamTracker can identify a significant fraction of spammers that current IP-based blacklists miss. SpamTracker's ability to identify spammers before existing blacklists suggests that it can be used in conjunction with existing techniques (e.g., as an input to greylisting). SpamTracker is inherently distributed and can be easily replicated; incorporating it into existing email filtering infrastructures requires only small modifications to mail server configurations.

/pdf/filtering-spam-with-behavioral-blacklisting-4q37e5g43y.pdf

Filtering spam with behavioral blacklisting

Various embodiments of the invention provide methods, systems and software for analyzing data. In particular embodiments, for example, a set of data about a web site may be analyzed to determine whether the web site is likely to be illegitimate (e.g., to be involved in a fraudulent scheme, such as a phishing scheme, the sale of gray market goods, etc.). In an exemplary embodiment, a set of data may be divided into a plurality of components (each of which, in some cases, may be considered a separate data set). Merely by way of example, a set of data may comprise data gathered from a plurality of data sources, and/or each component may comprise data gathered from one of the plurality of data sources. As another example, a set of data may comprise a document with a plurality of sections, and each component may comprise one of the plurality of sections. Those skilled in the art will appreciate that the analysis of a particular component may comprise certain tests and/or evaluations, and that the analysis of another component may comprise different tests and/or evaluations. In other cases, the analysis of each component may comprise similar tests and/or evaluations. The variety of tests and/or evaluations generally will be implementation specific.

Methods and systems for analyzing data related to possible online fraud

Various embodiments of the invention provide solutions, including systems, methods and software, for dealing with unethical uses of electronic mail, and in particular, with attempts to use email messages to facilitate online fraud. Some embodiments function to gather a set of at least one incoming email message, analyze that incoming message, categorize the message as a categorize the incoming email message as a fraudulent email message. Other embodiments can investigate the uniform resource locator included with the incoming email message to determine information about a server hosting the web site referenced by the uniform resource locator and pursue a response to a fraudulent attempt to collect personal information. In some cases, responses may be administrative and/or technical in nature.

Online fraud solution

Spam, defined as the transmission of bulk unsolicited messages, has
plagued Internet email. Unfortunately, spam is not limited to email.
It can affect any system that enables user to user communications. The
Session Initiation Protocol (SIP) defines a system for user to user
multimedia communications. Therefore, it is susceptible to spam, just
as email is. In this document, we analyze the problem of spam in SIP.
We first identify the ways in which the problem is the same and the
ways in which it is different from email. We then examine the various
possible solutions that have been discussed for email and consider
their applicability to SIP.

/pdf/the-session-initiation-protocol-sip-and-spam-4itbhh2j05.pdf

The Session Initiation Protocol (SIP) and Spam

DomainKeys Identified Mail (DKIM) defines a domain-level
authentication framework for email using public-key cryptography and
key server technology to permit verification of the source and
contents of messages by either Mail Transfer Agents (MTAs) or Mail
User Agents (MUAs). The ultimate goal of this framework is to permit a
signing domain to assert responsibility for a message, thus proving
and protecting message sender identity and the integrity of the
messages they convey while retaining the functionality of Internet
email as it is known today. Proof and protection of email identity,
including repudiation and non-repudiation, may assist in the global
control of "spam" and "phishing".

DomainKeys Identified Mail (DKIM) Signatures

A protection CMTS is available to immediately service a cable modem should that modem's service from a working CMTS fail for any reason. To speed the service transfer (cutover) from the working CMTS to the protection CMTS, the cable modem may preregister with the protection CMTS well before the cutover becomes necessary. The cable modem's registration with both the working CMTS and the protection CMTS preferably employs a single IP address, so that the cable modem need not obtain a new IP address during cutover. While the cable modem may register with both the working CMTS and the protection CMTS, the devices are designed or configured so that only the working CMTS injects a host route for the cable modem into the appropriate routing protocol. Only after cutover to the protection CMTS does the protection CMTS inject its host route.

Routing protocol based redundancy design for shared-access networks

A method and system for verifying identification of an electronic mail message. An electronic mail message including a signature and a key is received, the signature identifying a domain from which the electronic mail message originated and the key for verifying the signature. A key registration server of the domain is accessed to verify the key. The key registration server provides for verifying that a key used to sign an electronic mail message is valid and that the sender is authorized by the domain to send the electronic mail message from the return address.

Method and system for verifying identification of an electronic mail message

Methods and systems for sending a digitally signed electronic mail (email) comprising a message are described. A first canonicalization of a first version of the message is generated. A second canonicalization of a second version of the message is also generated. A single digital signature that includes both the first and second canonicalizations is generated. The digital signature is then sent with the message.

Method and system for conveying alternate acceptable canonicalizations of a digitally signed piece of electronic mail

A method and system for evaluating a message. A message including an originator is received. A registrar lookup for determining a registrar for the originator is performed. A registrar reputation lookup for determining a registrar reputation for the registrar is performed. The message is evaluated based at least in part on the registrar reputation.

Method and system for a method for evaluating a message based in part on a registrar reputation

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