What is spam and who sends it?


Spam is the use of media to send unsolicited bulk messages.This means that the recipient receives a message that they did not choose to receive. The most commonly used form of spam is email, although spam is not limited to that. Nowadays, spam can be observed both in instant messengers (such as ICQ, Skype, MSN, etc.), forums, social networks (such as Facebook, Twitter, etc.) but also in the old familiar form of mail or fax. Basically, you can receive spam via any kind of contact method. Spam emails often serve commercial purposes, where products or services are advertised. Unfortunately, cyber criminals also use spam to steal personal data, spread malware or perform fraudulent activities such as phishing.

Who is behind sending spam?

There are various forms and types of spammers. This can be a single person who has purchased a list of addresses. Or whole groups of people who run servers in many different countries so they can send unsolicited messages to millions of people 24 hours a day, 7 days a week. Spam can come from a variety of senders, including:

  • Advertisers
    Companies that want to aggressively promote their products or services.
  • Scammers
    Criminals who want to steal personal information or trick users into fraudulent actions.
  • Botnets
    Large networks of infected computers that are remotely controlled by cybercriminals to send mass amounts of spam.

Why are spam messages being sent?

In short?... Money! Due to very little or no costs, spammers have the possibility to reach hundreds of millions of people with their messages. Spammers are already satisfied if only one or two people either click on the link sent within 1000 messages, buy their product or, in the worst case, give out personal data.

With the increasing number of people who have Internet access and are using new technologies, spam or unwanted mass messages are being used as the most popular method of committing crimes (such as bank fraud, identity theft, credit card fraud).


What are the dangers of spam?

Spam poses several dangers, including:

  • Phishing
    Attempts to steal confidential information such as passwords or credit card details.
  • Malware
    Attachments or links can install malicious software on your device.
  • Fraud
    False promises can lead to financial loss.

Spam can also enable unauthorized access to computers or servers. This often involves sending further spam messages with malicious links that lead to websites from which further viruses or Trojans are downloaded. The malware is often used to set up a botnet and gain control over many computers. These can then be used for the further distribution of malware.

How to recognize spam

To recognize spam messages, there are several indicators to look out for. Common indicators are

  • Unusual sender addresses or names: 
    Be wary of emails from unknown senders or with strange email addresses.
  • Misleading subject lines:
    Often spam emails contain exaggerated or misleading subject lines.
  • Incorrect language or layout:
    Look out for unusual formatting, spelling or grammatical errors.
  • Request for immediate action:
    Spam often contains appeals for urgency or threats to provoke a quick response.
  • Suspicious attachments or links:
    Do not open attachments or click on links in suspicious emails.


These tips will help you to identify spam messages and make your digital environment safer.

Examples of typical spam messages

Spam messages often exploit the curiosity, concerns or trust of recipients in order to deceive them. Here are some examples and tips on how to recognize such messages:

  • Notifications about the sale of personal data
    These emails often claim to be from well-known companies and provide information about the alleged sale or disclosure of personal data. They aim to lure recipients to fake websites where they are asked to enter personal information.
  • Warnings about expiring passwords
    These emails pretend to be an urgent warning from a legitimate service such as a university or online service. They claim that the recipient's password is about to expire and ask them to click on a link that will supposedly solve the problem.
  • Alleged invoices or payment requests
    Often disguised as official communications from companies, these emails claim that a payment is due or an invoice is ready for review. The purpose of such messages is to get the recipient to open an attachment or visit a link, which can lead to malware infections.

Effective protective measures against spam

Various strategies are recommended to protect yourself effectively against spam:

  • Use the EuropeanMX spam filter
    Use our spam filter 'EuropeanMX'. It offers reliable protection and is regularly updated to cover the latest spam trends.
  • Be careful with personal information
    Be careful where and to whom you give your e-mail address.
  • How to recognize phishing
    Learn how to identify phishing emails and avoid clicking on suspicious links or attachments.
  • Always keep your software up to date
    Make sure your operating system and security software are always up to date.
  • Training and awareness-raising
    Regular training and information campaigns increase awareness of the dangers of spam.

These measures help to reduce the risk of spam attacks and keep your data secure.

Latest technologies and trends in spam detection and prevention

The technology to combat spam messages has evolved rapidly, mainly through the use of Artificial Intelligence (AI) and machine learning. These systems are able to learn and continuously adapt patterns and characteristics of spam messages. As a result, they can also recognize new and changing forms of spam. In addition, advanced algorithms support the analysis of behavioral patterns and communication networks to identify suspicious activity. These technologies enable more accurate and effective spam detection, reduce false positives and increase overall security in the digital space.

Advanced technologies and methods to combat spam messages include:

  • Machine learning and AI
    Advances in machine learning algorithms and artificial intelligence enable more accurate spam detection by analyzing large amounts of data in real time.
  • Behavioral analysis
    Systems that analyze user behavior to identify anomalies that indicate spam or phishing.
  • Collaborative filtering
    Incorporating user feedback makes spam identification and filtering more efficient.
  • Improved email authentication
    Protocols such as DMARC and SPF help to verify the authenticity of email senders.
  • Blockchain technology
    The use of blockchain could improve email security due to its decentralized and tamper-proof nature.
  • Multifactor authentication (MFA)
    MFA in email systems increases security and makes unauthorized access more difficult.
  • Natural Language Processing (NLP)
    Improved NLP helps to better analyze the content of emails and distinguish between legitimate and malicious communications.
  • Real-time threat intelligence
    Integration with threat intelligence platforms enables rapid adaptation to new spam threats.
  • Regulatory measures
    Strict regulatory measures against spam could make online communication safer.
  • User education
    Educating users about spam tactics increases their ability to recognize and avoid malicious messages.

These developments show how important it is to keep up with the latest technologies to effectively protect against the risks of spam messages.


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