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Why are orders being placed with @dummy.email addresses?

Matthew Whittaker profile picture
Matthew Whittaker
Co-founder & CTO, Suped
Published 24 Jun 2025
Updated 15 Aug 2025
8 min read
Discovering a flood of orders with email addresses like "user@dummy.email" can be perplexing for any business. It raises immediate questions: Are these legitimate customers? Is it a bot attack? Or is something more complex at play? This phenomenon is not as straightforward as it might seem and requires careful investigation.
Initially, you might suspect these are temporary email addresses, but a quick check reveals that the @dummy.email domain isn't associated with any known disposable email service. In fact, the domain appears to be parked or squatted, with its mail exchange (MX) records pointing to a registrar rather than an active mail server. This means any emails sent to these addresses will inevitably result in hard bounces, severely impacting your sender reputation and potentially landing your domain on an email blocklist (or blacklist).
The challenge intensifies when these addresses are tied to actual purchase orders, rather than just form submissions or newsletter sign-ups. This article explores the various reasons behind the appearance of @dummy.email addresses in your order data, from potential fraud to system quirks, and provides actionable steps to identify and mitigate these issues, protecting your deliverability and business integrity.

Understanding the @dummy.email phenomenon

The non-existence of @dummy.email

Understanding the domain's status

Unlike legitimate temporary email services designed for one-time use, @dummy.email does not host active mail servers. Its domain is parked, meaning it is registered but not actively used for email communication. This is confirmed by its MX (Mail Exchange) records, which point to the domain's registrar or a hosting provider, indicating no valid mail service is running to accept incoming emails. Any attempts to send emails to this domain will fail, resulting in a permanent delivery failure or a hard bounce.
This characteristic makes @dummy.email fundamentally different from disposable email addresses (DEAs) or spam traps. While DEAs are designed to receive emails temporarily before self-destructing, @dummy.email simply cannot receive mail. This lack of email functionality is a critical clue in understanding why these addresses appear in your system.
For email marketers, receiving hard bounces signals that the recipient address is invalid, leading to a damaged sender reputation and reduced inbox placement rates. Consistent bounces from such domains can trigger flags with Internet Service Providers, increasing the likelihood of your emails being sent to spam or even your domain getting on a blocklist (or blacklist).

Decoding the motives behind @dummy.email orders

Potential scenarios behind these strange orders

Credit card fraud testing

One of the most plausible explanations for a high volume of @dummy.email orders, especially those with successful transactions, is credit card fraud testing. Fraudsters use automated bots to test the validity of stolen credit card numbers by making small purchases on e-commerce sites. They don't care about receiving the product or the order confirmation email, only whether the transaction goes through. Using a non-existent email address like @dummy.email allows them to avoid detection and keep their actual identities hidden.

User error or misinformation

While less common for purchases, some individuals might mistakenly use a @dummy.email address, possibly influenced by online articles or advice suggesting it as a way to avoid spam. Although this scenario is more typical for newsletter sign-ups or online forms where an email is required but not necessarily used for communication, it can sometimes extend to purchases, especially if the user is purchasing through a guest checkout.

Developer test data or system glitches

Another possibility, though often quickly ruled out by development teams, is that @dummy.email addresses were used as placeholder or test data that inadvertently made its way into live production data. This is particularly relevant if the orders seem anomalous in other ways, such as unusual values or product types. A system configuration error or an exploit in an API could also lead to such entries appearing unexpectedly in your order database.

Investigating and identifying the source

Investigating and identifying the source

Analyzing transaction metadata

To get to the bottom of @dummy.email orders, a deep dive into the transaction metadata is essential. Look at the IP addresses from which these orders originated. Are they all from the same IP? Are they from suspicious locations or known proxy servers? Examine the payment methods used, the shipping addresses, and the order values. A pattern of low-value purchases, particularly under £100, is a strong indicator of credit card fraud testing.

Reviewing your e-commerce platform setup

If your orders are being placed through a third-party marketplace or integrated store, such as an amazon.com logoAmazon.com store, engage your development team. Investigate potential API vulnerabilities or misconfigurations that could allow fraudulent data to be submitted. It's possible that a programming error or an outdated integration is inadvertently creating these problematic entries. Even if bots are submitting web forms, there might be deeper issues enabling them.

Monitoring for patterns and anomalies

Look for consistent patterns. Are these orders occurring during specific times of day? Do they target particular products? A sudden spike in @dummy.email orders after a new feature launch or an integration change could point to a system issue. Conversely, sustained, low-volume fraudulent transactions over time might indicate a sophisticated fraud operation.

Proactive measures to protect your system

Proactive measures to protect your system

Implementing robust email validation

The first line of defense is strong email validation at every entry point, including checkout forms and signup pages. Implement real-time validation to check for valid syntax, domain existence, and common disposable email patterns. While @dummy.email might pass basic syntax checks, a more advanced validator would flag its non-existent MX records. Blocking such addresses at the point of entry prevents them from ever entering your database, preserving your email deliverability.

Employing advanced fraud detection systems

Beyond email validation, invest in robust fraud detection tools. These systems analyze a multitude of factors, including IP addresses, billing and shipping addresses, payment methods, device fingerprints, and purchase history, to identify suspicious transactions. They can detect patterns indicative of credit card testing, even when the email address used is intentionally obscure.

Regular list cleaning and monitoring

Even with preventative measures, some fake addresses may slip through. Regularly cleaning your email list to remove hard bounces and invalid addresses is critical. You should also maintain continuous blocklist monitoring to ensure your domain doesn't end up on a blacklist due to high bounce rates or spam complaints. This proactive approach safeguards your sender reputation and helps maintain healthy email deliverability.

Views from the trenches

Best practices
Implement real-time email validation at all data entry points, especially checkout and signup forms, to filter out invalid and non-existent email addresses before they enter your system.
Utilize advanced fraud detection systems that analyze transaction metadata like IP addresses, payment methods, and geographic locations to flag suspicious orders.
Regularly monitor your email bounce rates and proactively clean your subscriber lists to remove invalid addresses, which helps maintain a strong sender reputation and avoids being added to an email blocklist.
Common pitfalls
Ignoring orders with unusual email domains, assuming they are harmless test data or simple user errors, can lead to significant deliverability issues and potential financial fraud.
Failing to investigate the underlying causes of strange order patterns, such as sudden spikes in low-value transactions or consistent use of non-existent email domains.
Not thoroughly reviewing third-party e-commerce platform integrations or API setups for potential vulnerabilities that might be allowing fraudulent or test data to populate your live system.
Expert tips
Cross-reference incoming orders with IP reputation databases and known lists of disposable email providers, even if they're not on standard lists, to identify emerging threats.
Work closely with your development team to ensure your e-commerce platform's code handles invalid email addresses gracefully and prevents them from impacting order processing.
Educate your customer support team on recognizing signs of credit card fraud and fake orders, enabling them to flag issues promptly and prevent further damage.
Expert view
Expert from Email Geeks says: The @dummy.email domain is parked and its MX records point to the registrar, indicating it is likely a squatted domain and not a real email service.
2020-07-09 - Email Geeks
Expert view
Expert from Email Geeks says: If these addresses are only appearing for one client, it suggests a specific issue tied to their user base or internal system rather than a widespread issue.
2020-07-09 - Email Geeks

Final thoughts

Ensuring the integrity of your customer data
The appearance of orders with @dummy.email addresses is more than just a curiosity; it's a signal that demands attention. Whether it points to sophisticated credit card fraud attempts, an underlying system misconfiguration, or a misguided user, understanding the root cause is paramount.
Ignoring these invalid entries can lead to a cascade of negative consequences, from wasted email sending resources on hard bounces to a damaged sender reputation, which ultimately impacts your ability to reach legitimate customers. Furthermore, if fraud is involved, unchecked dummy orders can result in financial losses through chargebacks and compliance issues.
By implementing stringent email validation, utilizing advanced fraud detection, and maintaining a vigilant approach to data integrity, businesses can safeguard their email deliverability, protect against financial fraud, and ensure the authenticity of their customer base. Proactive measures are always more effective and less costly than reactive damage control.

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