To prevent e-mail spam, both end users and administrators of e-mail systems use various anti-spam techniques. Some of these techniques have been embedded in products, services and software to ease the burden on users and administrators. No one technique is a complete solution to the spam problem, and each has trade-offs between incorrectly rejecting legitimate e-mail vs. not rejecting all spam, and the associated costs in time and effort.
Anti-spam techniques can be broken into four broad categories: those that require actions by individuals, those that can be automated by the email administrator, those that can be automated by e-mail senders and those employed by researchers and law enforcement officials.
Detecting spam based on the content of the e-mail, either by detecting keywords such as "viagra" or by statistical means, is very popular. Such methods can be very accurate when they are correctly tuned to the types of legitimate email that an individual gets, but they can also make mistakes such as detecting the keyword "cialis" in the word "specialist". The content also doesn't determine whether the email was either unsolicited or bulk, the two key features of spam. So, if a friend sends you a joke that mentions "viagra", content filters can easily mark it as being spam even though it is neither unsolicited nor sent in bulk.
The most popular DNSBLs (DNS Blacklists) are lists of IP addresses of known spammers, open relays, zombie spammers etc.
Spamtraps are often email addresses that were never valid or have been invalid for a long time that are used to collect spam. An effective spamtrap is not announced and is only found by dictionary attacks or by pulling addresses off hidden webpages. For a spamtrap to remain effective the address must never be given to anyone. Some black lists, such as spamcop, use spamtraps to catch spammers and blacklist them.
Enforcing technical requirements of the Simple Mail Transfer Protocol (SMTP) can be used to block mail coming from systems that are not compliant with the RFC standards. A lot of spammers use poorly written software or are unable to comply with the standards because they do not have legitimate control of the computer sending spam (zombie computer). So by setting restrictions on the mail transfer agent (MTA) a mail administrator can reduce spam significantly. In many situations, simply requiring a valid fully qualified domain name (FQDN) in the SMTP's EHLO (extended hello) statement is enough to block 25% of incoming spam. Similarly, enforcing the correct fall back of Mail eXchange (MX) records in the Domain Name System, or the correct handling of delays (Teergrube) can be effective.
There are a number of techniques that individuals can use to restrict the availability of their e-mail addresses, reducing or preventing their attractiveness to spam.
Posting anonymously, or with a fake name and address, is one way to avoid "address harvesting," but users should ensure that the fake address is not valid. Users who want to receive legitimate email regarding their posts or Web sites can alter their addresses so humans can figure out but spammers cannot. For instance, firstname.lastname@example.org might post as joeNOS@PAM.example.net.invalid. Address munging, however, can cause legitimate replies to be lost. If it's not the user's valid address, it has to be truly invalid, otherwise someone or some server will still get the spam for it. Other ways use transparent address munging to avoid this by allowing users to see the actual address but obfuscate it from automated email harvesters with methods such as displaying all or part of the e-mail address on a web page as an image, a text logo shrunken to normal size using in-line CSS, or as jumbled text with the order of characters restored using CSS.
One should keep in mind that often those attempting contact will give up at the slightest hindrance, unbeknownst to the intended recipient.
In addition, one's assumption that one never gets any legitimate mail from country X anyway, and thus blocks it, might actually trigger a vicious circle.
Spammers often regard responses to their messages—even responses like "Don't spam me"—as confirmation that an email address is valid. Likewise, many spam messages contain Web links or addresses which the user is directed to follow to be removed from the spammer's mailing list. In several cases, spam-fighters have tested these links, confirming they do not lead to the recipient address's removal—if anything, they lead to more spam.
Sender addresses are often forged in spam messages, including using the recipient's own address as the forged sender address, so that responding to spam may result in failed deliveries or may reach innocent e-mail users whose addresses have been abused. In many countries providing a false identity in that way is a criminal offense. Criminal spammers sometimes send their messages from purposely compromised computers in order to hide their real identity. Benign spammers reveal their identity, allowing recipients to respond.
In Usenet, it is widely considered even more important to avoid responding to spam. Many ISPs have software that seek and destroy duplicate messages. Someone may see a spam and respond to it before it is cancelled by their server, which can have the effect of reposting the spam for them; since it is not a duplicate, the reposted copy will last longer.
See also the Boulder Pledge.
Contact forms allow users to send email by filling out forms in a web browser. The web server takes the form data, forwarding it to an email address. The user never sees the email address. Contact forms have the drawback that they require a website that supports server side scripts. They are also inconvenient to the message sender as they are not able to use their preferred e-mail client. Finally if the software used to run the contact forms is badly designed they can become spam tools in their own right. Additionally many spammers have taken to using contact forms to send spam to the intended recipient.
Mail clients which do not automatically download and display HTML, images or attachments, have fewer risks, as do clients who have been configured to not display these by default.
Many email users sometimes need to give an address to a site without complete assurance that the site will not send out spam. One way to mitigate the risk is to provide a disposable email address—a temporary address which forwards email to a real account, which the user can disable or abandon. A number of services provide disposable address forwarding. Addresses can be manually disabled, can expire after a given time interval, or can expire after a certain number of messages have been forwarded. Sites that fail to treat such addresses appropriately have found themselves in legal jeopardy.
Tracking down a spammer's ISP and reporting the offense can lead to the spammer's service being terminated. Unfortunately, it can be difficult to track down the spammer—and while there are some online tools to assist, they are not always accurate. Occasionally, spammers employ their own netblocks. In this case, the abuse contact for the netblock can be the spammer itself and can confirm your address.
Examples of these online tools are SpamCop and Network Abuse Clearinghouse. They provide automated or semi-automated means to report spam to ISPs. Some spam-fighters regard them as inaccurate compared to what an expert in the email system can do; however, most email users are not experts.
A useful free tool that may be used in the reporting of spam is also available (Complainterator). The Complainterator will send an automatically-generated complaint to the registrar of the spamming domain and the registrar of its name servers.
Historically, reporting spam in this way has not seriously abated spam, since the spammers simply move their operation to another URL, ISP or network of IP addresses.
Consumers may also forward "unwanted or deceptive spam" to an email address ( email@example.com) maintained by the FTC. The database collected is used to prosecute perpetrators of scam or deceptive advertising.
An alternative to contacting ISPs is to contact the registrar of a domain name that has used in spam e-mail. Registrars, as ICANN-accredited administrative organizations, are obliged to uphold certain rules and regulations, and have the resources necessary for dealing with abuse complaints.
Some advocate responding aggressively to spam—in other words, "spamming the spammer".
The basic idea is to make spamming less attractive to the spammer, by increasing the spammer's overhead. There are several ways to reach a spammer, but besides the caveats above, it may lead to retaliations by the spammer.
1. Replying directly to the spammer's email address. Just clicking "reply" will not work in the vast majority of cases, since most of the sender addresses are forged or made up. In some cases, however, spammers do provide valid addresses, as in the case of Nigerian scams.
2. Targeting the computers used to send out spam. In 2005, IBM announced a service to bounce spam directly to the computers that send out spam. Because the IP addresses are identified in the headers of every message, it would be possible to target those computers directly, sidestepping the problem of forged email addresses. In most cases, however, those computers do not belong to the real spammer, but to unsuspecting users with unsecured or outdated systems, hijacked through malware and controlled at distance by the spammer; these are known as zombie computers.
3. Leaving messages on the spamvertised site. Spammers selling their wares need a tangible point of contact so that customers can reach them. Sometimes it is a telephone number, but most often is a web site containing web forms through which customers can fill out orders or inquiries, or even "unsubscribe" requests. Since positive response to spam is probably much less than 1/10,000, if just a tiny percentage of users visit spam sites just to leave negative messages, the negative messages could easily outnumber positive ones, incurring costs for spammers to sort them out, not mentioning the cost in bandwidth.
There are a number of appliances, services and software systems that e-mail administrators can use to reduce the load of spam on their systems and mailboxes. Some of these depend upon rejecting email from Internet sites known or likely to send spam. Others rely on automatically analyzing the content of email messages and weeding out those which resemble spam. These two approaches are sometimes termed blocking and filtering.
There is an increasing trend of integration of anti-spam techniques into MTAs whereby the mail systems themselves also perform various measures that are generally referred to as filtering, ultimately resulting in spam messages being rejected before delivery (or blocked).
Many filtering systems take advantage of machine learning techniques, which improve their accuracy over manual methods. However, some people find filtering intrusive to privacy, and many e-mail administrators prefer blocking to deny access to their systems from sites tolerant of spammers.
A number of systems have been proposed to allow acceptance of email from servers which have authenticated in some fashion as senders of only legitimate email. Many of these systems use the DNS, as do DNSBLs; but rather than being used to list nonconformant sites, the DNS is used to list sites authorized to send email, and (sometimes) to determine the reputation of those sites. Other methods of identifying ham (non-spam email) and spam are still used.
Authentication systems cannot detect whether a message is spam. Rather, they allow a site to express trust that an authenticated site will not send spam. Thus, a recipient site may choose to skip expensive spam-filtering methods for messages from authenticated sites.
Another method which may be used by internet service providers, by specialized services or enterprises to combat spam is to require unknown senders to pass various tests before their messages are delivered. These strategies are termed challenge/response systems or C/R. Some view their use as being as bad as spam since they place the burden of spam fighting on legitimate email senders -- who it should be noted will often indeed give up at the slightest hindrance.
Checksum-based filter exploits the fact that the messages are sent in bulk, that is that they will be identical with small variations. Checksum-based filters strip out everything that might vary between messages, reduce what remains to a checksum, and look that checksum up in a database which collects the checksums of messages that email recipients consider to be spam (some people have a button on their email client which they can click to nominate a message as being spam); if the checksum is in the database, the message is likely to be spam.
The advantage of this type of filtering is that it lets ordinary users help identify spam, and not just administrators, thus vastly increasing the pool of spam fighters. The disadvantage is that spammers can insert unique invisible gibberish—known as hashbusters—into the middle of each of their messages, thus making each message unique and having a different checksum. This leads to an arms race between the developers of the checksum software and the developers of the spam-generating software.
Checksum based filtering methods include:
Some e-mail servers expect to never communicate with particular countries from which they receive a great deal of spam. Therefore, they use country-based filtering - a technique that blocks e-mail from certain countries. This technique is based on country of origin determined by the sender's IP address rather than any trait of the sender.
DNS-based Blacklists, or DNSBLs, are used for heuristic filtering and blocking. A site publishes lists (typically of IP addresses) via the DNS, in such a way that mail servers can easily be set to reject mail from those sources. There are literally scores of DNSBLs, each of which reflects different policies: some list sites known to emit spam; others list open mail relays or proxies; others list ISPs known to support spam.
Other DNS-based anti-spam systems list known good ("white") or bad ("black") IPs domains or URLs, including RHSBLs and URIBLs.
For history, details, and examples of DNSBLs, see DNSBL.
Enforcing technical requirements of the Simple Mail Transfer Protocol (SMTP) can be used to block mail coming from systems that do not comply with the RFC standards. A lot of spammers use poorly written software or are unable to comply with the standards because they do not have legitimate control of the computer sending spam (zombie computer). By setting restrictions on the MTA a mail administrator can reduce spam significantly.
For example, spam can be greatly reduced by a number of simple checks confirming compliance with standard addressing and MTA operation.
In many situations, simply requiring a valid FQDN in the SMTP EHLO statement is enough to block 25% of incoming spam.
Invalid HELO localhost
Invalid HELO 127.0.0.1
Valid HELO domain.tld
Valid HELO [127.0.0.1]
Fraudulent HELO friend
Fraudulent HELO -232975332
All of the examples above are fairly simple checks, all conform to existing standards and RFCs, and all are missing from most commercial MTA implementations available today.
The SMTP protocol allows for temporary rejection of incoming messages. Greylisting is the technique to temporarily reject messages from unknown sender mail servers. A temporary rejection is designated with a 4xx error code that is recognized by all normal MTAs, which then proceed to retry delivery later.
Greylisting is based on the premise that spammers and spambots will not re-try their messages. Instead, they will move on to the next message and next address. This is effective since a re-try attempt means the message and state of the process must be stored inherently increasing the cost incurred by the spammer, but it is a standard component of any legitimate sender's server.
The SMTP protocol requires that email servers for any given domain be provided in a prioritized list (namely, MX records), and further specifies mandatory error-handling behavior when servers in that list cannot be contacted. Nolisting is a technique of purposely creating unreachable MX records, so that only senders who have implemented this error-handling behavior can successfully deliver mail.
A greeting delay is a deliberate pause introduced by an SMTP server before it sends the SMTP greeting banner to the client. The client is required to wait until it has received this banner before it sends any data to the server. (per RFC2821 3.1). Many spam-sending applications do not wait to receive this banner, and instead start sending data as soon as the TCP connection is established. The server can detect this, and drop the connection.
There are some legitimate sites that play "fast and loose" with the SMTP specifications, and may be caught by this mechanism. It also has a tendency to interact badly with sites that perform callback verification, as common callback verification systems have timeouts that are much shorter than those mandated by RFC2821 220.127.116.11
Hybrid filtering, such as is implemented in the open source programs SpamAssassin and Policyd-weight, uses some or all of the various tests for spam, and assigns a numerical score to each test. Each message is scanned for these patterns, and the applicable scores tallied up. If the total is above a fixed value, the message is rejected or flagged as spam. By ensuring that no single spam test by itself can flag a message as spam, the false positive rate can be greatly reduced.
The PTR DNS records in the reverse DNS can be used for a number of things, including:
Content filtering techniques relied on the specification of lists of words or regular expressions disallowed in mail messages. Thus, if a site receives spam advertising "herbal Viagra", the administrator might place these words in the filter configuration. The mail server would thence reject any message containing the phrase.
Header filtering is the means of inspecting the header of the email, the part of the message that contains information about the message. Spammers will often spoof fields in the header in order to hide their identities, or to try to make the email look more legitimate than it is; many of these spoofing methods can be detected. Also, headers that violate the RFC 2822 standard on how the email header is to be formed are frequently rejected.
Disadvantages of filtering are threefold: First, it can be time-consuming to maintain. Second, it is prone to false positives. Third, these false positives are not equally distributed: since content filtering is prone to reject legitimate messages on topics related to products frequently advertised in spam. A system administrator who attempts to reject spam messages which advertise mortgage refinancing, credit or debt may inadvertently block legitimate e-mail on the same subject.
Spammers frequently change the phrases and spellings they use. This can mean more work for the administrator. However, it also has some advantages for the spam fighter. If the spammer starts spelling "Viagra" as "V1agra" (see leet) or "Via_gra", it makes it harder for the spammer's intended audience to read their messages. If they try to trip up the phrase detector, by, for example, inserting an invisible-to-the-user HTML comment in the middle of a word ("Via<!---->gra"), this sleight of hand is itself easily detectable, and is a good indication that the message is spam. And if they send spam that consists entirely of images, so that anti-spam software can't analyze the words and phrases in the message, the fact that there is no readable text in the body can be detected, making that message a higher risk of being spam.
Content filtering can also be implemented to examine the URLs present (i.e. spamvertising) in an email message. This form of content filtering is much harder to disguise as the URLs must resolve to a valid domain name. Extracting a list of such links and comparing them to published sources of spamvertised domains is a simple and reliable way to eliminate a large percentage of spam via content analysis.
There are a small number of organizations which offer IP whitelisting and/or licensed tags that can be placed in email (for a fee) to assure recipients' systems that the messages thus tagged are not spam. This system relies on legal enforcement of the tag. The intent is for email administrators to whitelist messages bearing the licensed tag.
A potential difficulty with such systems is that the licensing organization makes its money by licensing more senders to use the tag—not by strictly enforcing the rules upon licensees. A concern exists that senders whose messages are more likely to be considered spam would accrue a greater benefit by using such a tag. The concern is that these factors form a perverse incentive for licensing organizations to be lenient with licensees who have offended. However, the value of a license would drop if it was not strictly enforced, and financial gains due to enforcement of a license itself can provide an additional incentive for strict enforcement. The Habeas mail classing system attempts to further address this issue by classing email according to origin, purpose, and permission. The purpose is to describe why the email is not likely spam, but permission based email.
Since a large percentage of spam has forged and invalid sender ("from") addresses, some spam can be detected by checking that this "from" address is valid. A mail server can try to verify the sender address by making an SMTP connection back to the mail exchanger for the address, as if it was creating a bounce, but stopping just before any e-mail is sent.
Callback verification can be compliant with SMTP RFCs, but it has various drawbacks. Since nearly all spam has forged return addresses, nearly all callbacks are to innocent third party mail servers that are unrelated to the spam. At the same time, there will be numerous false negatives due to spammers abusing real addresses and some false positives.
Statistical filtering was first proposed in 1998 by Mehran Sahami et al., at Learning for Text Categorization Workshop in the fifteenth AAAI conference (AAAI-98). A statistical filter is a kind of document classification system, and a number of machine learning researchers have turned their attention to the problem. Statistical filtering was popularized by Paul Graham's influential 2002 article A Plan for Spam, which proposed the use of naive Bayes classifiers to predict whether messages are spam or not – based on collections of spam and nonspam ("ham") email submitted by users.
Statistical filtering, once set up, requires no maintenance per se: instead, users mark messages as spam or nonspam and the filtering software learns from these judgements. Thus, a statistical filter does not reflect the software author's or administrator's biases as to content, but it does reflect the user's biases as to content; a biochemist who is researching Viagra won't have messages containing the word "Viagra" flagged as spam, because "Viagra" will show up often in his or her legitimate messages. Spam emails containing the word "Viagra", however, do get filtered because of their unique content compared to legitimate messages. A statistical filter can also respond quickly to changes in spam content, without administrative intervention. Statistical filters should also look at message headers , thereby considering not just the content but also peculiarities of the transport mechanism of the email.
Spammers have attempted to fight statistical filtering by inserting many random but valid "noise" words or sentences into their messages while attempting to hide them from view, making it more likely that the filter will classify the message as neutral. (See word salad) Attempts to hide the noise words include setting them in tiny font or the same colour as the background. However, these noise countermeasures seem to have been largely ineffective.
Typical statistical filtering uses single words in the calculations to decide if a message should be classified as spam or not. A more powerful calculation can be made using groups of two or more words taken together. The random "noise" words can not be used as successfully to fool the filter.
The body of the message should be "cleaned" before the calculations are performed. This cleaning should remove extra spaces and special characters such as ! and $ so these are not allowed to be used to "munge" the spam-type words.
Software programs that implement statistical filtering include Bogofilter, DSPAM, SpamBayes the e-mail programs Mozilla and Mozilla Thunderbird, Mailwasher, and later revisions of SpamAssassin. Another interesting project is CRM114 which hashes phrases and does bayesian classification on the phrases.
There is also the free mail filter POPFile which sorts mail in as many categories as you want (family, friends, co-worker, spam, whatever) with bayesian filtering.
A tarpit is any server software which intentionally responds pathologically slowly to client commands. By running a tarpit which treats acceptable mail normally and known spam slowly or which appears to be an open mail relay, a site can slow down the rate at which spammers can inject messages into the mail facility. Many systems will simply disconnect if the server doesn't respond quickly, which will eliminate the spam. However, a few legitimate e-mail systems will also not deal correctly with these delays.
Transparent SMTP proxies allow combating spam in real time, combining sender's behavior controls, providing legitimate users immediate feedback, eliminating a need for quarantine.
There are a variety of techniques that e-mail senders use to try to make sure that they do not send spam. Failure to control the amount of spam sent, as judge by e-mail receivers, can often cause even legitimate email to be blocked and for the sender to be put on DNSBLs.
Since spammers are frequently kicked off the network, they are constantly trying to create new accounts. Many spammers are able to make even a few hours profitable for them and can cause many days of damage to reputation of the services they abused. As a result, many ISPs and web -email providers use CAPTCHAs on new accounts and try to verify the credit cards are not stolen before accepting new customers, check the Spamhaus Project ROKSO list and do other background checks.
One difficulty occurs in implementing opt-in mailing lists: many means of gathering user e-mail addresses remain susceptible to forgery. For instance, if a company puts up a Web form to allow users to subscribe to a mailing list about its products, a malicious person can enter other people's e-mail addresses — to harass them, or to make the company appear to be spamming. (To most anti-spammers, if the company sends e-mail to these forgery victims, it is spamming, albeit inadvertently.)
To prevent this abuse, MAPS and other anti-spam organizations encourage that all mailing lists use confirmed opt-in (also known as verified opt-in and (by spammers themselves) as double opt-in). That is, whenever an address is presented for subscription to the list, the list software should send a confirmation message to that address. The confirmation message contains no advertising content, so it is not construed to be spam itself — and the address is not added to the list unless the recipient responds to the confirmation message. See also the Spamhaus Mailing Lists vs. Spam Lists page.
E-mail senders can do the same type of anti-spam checks on e-mail coming from their users and customers as can be done for e-mail coming from the rest of the Internet.
Problems with sending challenges to forged e-mail addresses can be greatly reduced by not creating a new message that contains the challenge. Instead, the challenge can be placed in the Bounce message when the receiving mail system gives a rejection-code during the SMTP session. When the receiving mail system rejects an e-mail this way, it is the sending system that actually creates the bounce message. As a result, the bounce message will almost always be sent to the real sender, and it will be in a format and language that the sender will usually recognize.
Firewalls and routers can be programmed to not allow SMTP traffic (TCP port 25) from machines that are not supposed to run Mail Transfer Agents or send e-mail. This practice is somewhat controversial when ISPs block home users, especially if the ISPs do not allow the blocking to be turned off upon request. E-mail can still be sent from these computers to designated smart hosts via port 25 and to other smart hosts via the e-mail submission port 587.
Network address translation can be used intercept all port 25 (SMTP) traffic and direct it to a mail server that enforces rate limiting and egress spam filtering. This is commonly done in hotels, but it can cause e-mail privacy problems, as well making it impossible to use STARTTLS and SMTP-AUTH if the port 587 submission port isn't used.
Machines that suddenly start sending lots of e-mail may well have become zombie computers. By limiting the rate that e-mail can be sent around what is typical for the computer in question, legitimate e-mail can still be sent, but large spam runs can be slowed down until manual investigation can be done.
By monitoring spam reports from places such as spamcop, AOL's feedback loop, and Network Abuse Clearinghouse, the domains abuse@ mailbox, etc., ISPs can often learn of problems before they seriously damage the ISP's reputation and have their mail servers blacklisted.
Most ISPs and web e-mail providers have either an Acceptable use policy (AUP) or a Terms of Service (TOS) agreement that discourages spammers from using their system and allows the spammer to be terminated quickly.
Increasingly, anti-spam efforts have required co-ordination between law enforcement, researchers, major consumer financial service companies and Internet service providers who need e-mail spam, identity theft and phishing evidence to track and monitor the risks and activities.
Another approach is simply an imitation MTA which gives the appearance of being an open mail relay, or an imitation TCP/IP proxy server which gives the appearance of being an open proxy. Spammers who probe systems for open relays/proxies will find such a host and attempt to send mail through it, wasting their time and potentially revealing information about themselves and the source of spam to the unexpected alert entity (in comparison to the anticipated careless or unskilled operator typically in charge of open relay MTA systems) that operates the honeypot. Such a system may simply discard the spam attempts, submit them to DNSBLs, or store them for analysis.
Checking out what site is being spamvertised by a given piece of spam, often leads to questionable registrations of Internet domain names. Since registrars are required to maintain trustworthy WHOIS databases, digging into the registration details and complaining at the proper locations often results in site shutdowns. Uncoordinated activity may result quite ineffective, given today's volumes of spam and the rate at which those criminal organizations register new domains. However, a coordinated effort, implemented with adequate infrastructure, can obtain good results.
Several approaches have been proposed to improve the e-mail system.
Another approach for countering spam is to use a "ham password".
Systems that use ham passwords ask unrecognised senders to include in their email a password that demonstrates that the email message is a "ham" (not spam) message. Typically the email address and ham password would be described on a web page, and the ham password would be included in the "subject" line of an email address. Ham passwords are often combined with filtering systems, to counter the risk that a filtering system will accidentally identify a ham message as a spam message.
The "plus addressing" technique appends a password to the "username" part of the email address.
Since spam occurs primarily because it is so cheap to send, a proposed set of solutions require that senders pay some cost in order to send spam, making it prohibitively expensive for spammers.
Proof-of-work systems such as hashcash require that a sender pay a computational cost by performing a calculation that the receiver can later verify. Verification must be much faster than performing the calculation, so that the computation slows down a sender but does not significantly impact a receiver. The point is to slow down machines that send most of spam—often millions and millions of them. While every user that wants to send email to a moderate number of recipients suffers just a few seconds' delay, sending millions of emails would take an unaffordable amount of time. This approach suffers when sender maintains a computation farm of their own or from zombies.
As a refinement to stamp systems is the method of requiring that a micropayment only be made (or some other form of penalty imposed) if the recipient considers the email to be abusive. This addresses the principal objection to stamp systems: popular free legitimate mailing list hosts would be unable to continue to provide their services if they had to pay postage for every message they sent.
Bill Gates announced that Microsoft is working on a solution requiring so-called “unknown senders”, i.e. senders not on the Accepted List of the recipient to post “the electronic equivalent of a” stamp whose value would be lost to the sender only if the recipient disapproves of the email . Gates said that Microsoft favors other solutions in the short-term, but would rely on the contingent payment solution to solve the spam problem over the longer run. Microsoft, AOL as well as Yahoo! have recently introduced systems that allow commercial senders to avoid filters if they obtain a paid or pre-paid certificate or certification, which is lost to the sender if recipients complain.
This approach suffers when a user initially signs up for a legitimate mailing list, but then later decides they do not want to receive the e-mail any further. Lazy users will simply click the "This is Spam" button on their e-mail client, rather than going through the formal unsubscription process that is detailed at the bottom of each message. The end-user gets the same effect either way, but without realizing the consequences that the list host may now face. However, companies now implementing the penalty approach when certifying (and withdrawing certification from) commercial senders have learned to account for this problem by setting appropriate complaint thresholds.
The intent of all such "sender-at-risk" solutions, which impose a significant cost to the sender only if the recipient rejects the message subsequent to receiving the email, is to deter spam by making it economically prohibitive to send unwanted email messages, while allowing legitimate emailers to send messages at little or no expense.
There are a number of proposals for sideband protocols that will assist SMTP operation. The Anti-Spam Research Group (ASRG) of the Internet Research Task Force (IRTF) is working on a number of E-mail authentication and other proposals for providing simple source authentication that is flexible, lightweight, and scalable. Recent Internet Engineering Task Force (IETF) activities include MARID (2004) leading to two approved IETF experiments in 2005, and DomainKeys Identified Mail in 2006.
The penalty provisions of the Australian Spam Act 2003 dropped Australia's ranking in the list of spam-relaying countries for e-mail spam from tenth to twenty-eighth.
Legislation that provides mandates that bulk emailers must follow makes compliant spam easier to identify and filter out.
Spam is the subject of several research conferences, including: