A: SpamStopper FM employs a multi-faceted set of tests on incoming messages to detect spam. Using its leading Bayesian engine, SpamStopper FM compares incoming messages to millions of known spam message signatures to detect junk email. SpamStopper FM also incorporates whitelists, blacklists, a frequently updated database of URLs advertised by spammers, and an extensive set of heuristic rules, which are continuously updated and which analyze:- message headers - most junk email messages employ one of many possible techniques to mask their identities and to fool recipients into thinking that a message is valid; SpamStopper FM recognizes these techniques, and responds accordingly
- body text - while the millions of commercial spam messages are constantly changing, they often have a characteristic style. SpamStopper FM can recognize these elements as well as messages that have previously been identified as spam.
- message signature - SpamStopper FM builds upon leading collaborative spam-tracking databases, which assign digital signatures to common messages and which are continuously updated via the contribution of many thousands of users.
- blacklists - SpamStopper FM incorporates many existing "blacklists" of known spammers or spam relays, including the databases at mail-abuse.org, ordb.org and others.
- URI lists - SpamStopper FM incorporates third-party and its own lists of web addresses, phone numbers, and other unique identifying elements advertised by spammers.
Together, these elements provide a proven, effective process by which SpamStopper FM is able to identify a very high percentage of junk email messages, with a very low incidence of false positives. |
| A: The success rate fluctuates somewhat depending on the customer and on the time period. Different domains have different mail patterns, and some customers choose a more aggressive posture against spam than other customers. Industry standards for spam detection range from 95% - 98%. SpamStopper FM’s goal is to correctly identify upwards of 98% of junk email. |
| A: Despite an occasional claim to the contrary, unfortunately that is not feasible. Due to the enormous quantity and constant evolution of junk email, combined with the different communications patterns of different companies, no automated tool could block all spam without also blocking a significant number of legitimate email messages. The only workaround for companies that need an extremely stringent anti-spam solution is to only allow inbound email from companies and email addresses that they are already doing business with. There is a significant downside to that approach, because any individuals or organizations that aren’t whitelisted cannot email those companies. Therefore, a service like SpamStopper FM, that blocks a large percentage of junk email and that is unlikely to block legitimate email, is generally a better solution. |
A: Whitelists are rules that allow messages to be delivered based on their 'from' email address or domain name, regardless of contents. If you would like to allow messages from yourcustomer.com, for example, you can add that domain to your whitelist. Conversely, blacklists are rules that block messages based on the domain name or email address of the sender.
Note that either individual email addresses (e.g. john@example.com) or full domains (e.g. example.com) can be whitelisted or blacklisted. |
| A: Yes. While most companies use the default configuration, SpamStopper FM can take a more or less aggressive posture towards spam detection, per your requirements. This level of aggressiveness is configurable for an entire domain and/or for individual email addresses. Keep in mind that with a very aggressive posture – in which a very high percentage of spam is detected – there is a greater likelihood of “false positives”, i.e. legitimate messages that are considered spam. Conversely, with a less aggressive posture, a higher number of spam messages may not be detected as such, but there is a lower chance of any false positives.SpamStopper FM offers six settings for how aggressive it is in determining whether a message is spam: 1. Very High - an extremely aggressive setting in which almost all spam (in most cases well over 99%) is detected; however, false positives are likely to result unless whitelists are used widely. 2. High - a common setting by which a high percentage of spam (typically upwards of 98%) is detected. False positives can occur on occasion with certain types of emails - messages sent via compromised (open relay) mail servers, marketing communications that are very aggressive in tone, and other mail that includes "spam-like" elements. However, most of these false positives are non-critical and are sent by the same sources repeatedly (e.g., periodic marketing announcements from an existing vendor). Given the ease of whitelisting these sources, this relatively aggressive posture can allow for a very low number of false positives while continuing to detect a very high percentage of spam. 3. Medium -- typically between 95% and 98% of spam is detected. False positives are very rare. 4. Low - a non-aggressive setting in which typically between 90% and 95% of spam is detected, with almost no chance of any false positives. 5. Very Low - this setting is typically used only by individuals who receive a significant number of emails from sources such as foreign countries known for a high percentage of spam, organizations or mail servers that are known spammers, etc. This setting is generally not recommended. 6. Unfiltered - messages will not be detected or handled as spam. These settings can be updated via the SpamStopper FM Junk Mail Control Center. SpamStopper FM can also be even more finely tuned to suit your organization. |