You run a monthly phishing awareness report. Click rates are spiking. Your team panics—did someone bypass training? Then you realize: 90% of the clicks came from a single IP range you don’t recognize. This isn’t a breach. It’s Safe Links.

Microsoft Safe Links scans every URL in your emails by simulating a click through its own infrastructure. Those automated checks appear as "clicks" in your reports—real data, but not from real people. The result? Distorted metrics, wasted time investigating phantom threats, and misleading campaign insights.

Key takeaways

  • Safe Links automatically clicks every URL in your emails, inflating click counts with non-human traffic.
  • These bot clicks skew engagement metrics, making real user behavior hard to identify in reports.
  • Without filtering them out, you waste time on false positives and misjudge the effectiveness of security training.

When you send a message with tracked links in Exchange Online, Microsoft Safe Links automatically inserts a unique tracking URL before the email is delivered. Even before a user opens the email, Microsoft’s internal systems ping the link to validate its safety—this generates a simulated click. The event shows up in reports as a single activity from a Microsoft IP, with a non-human user agent, making it indistinguishable from a real user unless you know what to look for.

What triggers the bot click and how it appears

Every time a link is embedded in an email protected by Safe Links, Microsoft replaces the original URL with a tracking URL containing a unique identifier. This happens during the message’s outbound processing—before it reaches the recipient’s inbox. The system then issues an HTTP request to check if the destination is safe, which counts as a click in reporting tools.

These clicks are not from human users. They show up in logs with Microsoft-owned IP addresses—typically from data centers in Azure regions—and a user agent like “Microsoft-SafeLinks/1.0” or similar. The timestamp often matches the message’s delivery time, and the click count appears even if the email is never opened.

Why this impacts reporting and how to filter it

Bot clicks inflate click metrics, making it harder to assess real engagement. If you’re measuring campaign performance in tools like Microsoft Defender for Office 365 or third-party dashboards, Safe Links activity can skew data. This is especially problematic in automated reports where anomalies aren’t manually reviewed.

To filter these events, look for patterns in your logs: Microsoft IPs (such as those listed in Microsoft’s public IP list), non-human user agents, and clicks on links without corresponding email opens. You can also exclude them using custom filtering rules in analytics platforms.

For deeper validation of your mail list quality, use inbox placement testing or bulk verification to identify low-quality or invalid addresses before they impact deliverability. A clean list reduces false positives and makes your analytics more accurate. Safe Links bot clicks are a known behavior, not a bug—but understanding them helps you interpret your data correctly.

Safe Links bot clicks inflate click-through metrics, creating false engagement that distorts deliverability insights. Without filtering, your reports show higher CTRs than reality, misleading reputation scores, and wasting time on false threats while real risks go unnoticed. You need clean data to understand your real audience and optimize performance.

False engagement skews reputation and benchmarking

When Microsoft Safe Links automatically clicks on every link in a message, those clicks register as user engagement. That means a 90% CTR might actually reflect bot activity, not real user interest. This inflates your click rate benchmarks and distorts your sender reputation in third-party systems that track engagement as a signal.

High CTRs from bot activity can wrongly signal that your content is performing well. That misleads reputation engines used by ISPs and email platforms—those systems may interpret high CTRs as a sign of trustworthiness, even when engagement is artificial. As a result, your delivery rates get a false boost, but your actual audience engagement remains low.

Security and marketing teams get misled by bad signals

Security teams see a surge in “clicks” and may waste time investigating benign Safe Links activity as potential phishing incidents. This creates alert fatigue and can delay responses to real threats.

Meanwhile, marketing teams interpret inflated CTRs as proof of strong campaign performance. They might double down on underperforming content, extend campaigns prematurely, or neglect list hygiene—all based on fabricated data. The result? Poor decisions that hurt long-term deliverability.

The fix isn’t just ignoring Safe Links. You need to identify and exclude bot-generated clicks before analyzing reports. Tools like MailTester’s inbox placement testing verify how your email arrives in real inboxes, and our bulk verification helps clean your list before sending, reducing the noise from automated systems. Accurate data starts with clean, verified data.

For real-world context, Microsoft’s own documentation acknowledges that Safe Links testing can generate background traffic: Microsoft’s security documentation describes the automated scanning behavior that drives this inflating effect.

You can filter out Safe Links bot clicks by checking for known Microsoft datacenter IPs, identifying user agent strings with 'Microsoft', 'Windows', or 'Bot', and excluding clicks that happen within seconds of delivery. Apply consistent rules across all tools—Exchange Admin Center, Defender, or third-party dashboards—to avoid overestimating engagement. This keeps your metrics accurate and your reporting trustworthy.

What to look for in the click data

  • Check the source IP address: Safe Links uses known Microsoft datacenter IPs (e.g., 13.107.106.16, 23.102.108.159). These are publicly listed in Microsoft’s IP address documentation, which you can verify via their official IP address documentation.
  • Inspect the user agent string. Bot clicks often report as 'Microsoft Office/16.0 (Windows)', 'Mozilla/5.0 (compatible; MSIE 10.0; Windows NT 6.1; Trident/6.0)', or contain 'Bot' or 'Crawler'—not actual browser identifiers like Chrome or Safari.
  • Exclude clicks occurring within 10–30 seconds of message delivery. Real users rarely act that quickly. This window typically covers automated Safe Links checks prior to actual user interaction.
  • Use consistent filtering rules across reporting tools. Whether you're using the Exchange Admin Center, Microsoft Defender for Office 365, or a third-party analytics tool, apply the same IP, UA, and timing filters to avoid discrepancies.

Apply this logic across your workflows

Let’s say you’re reviewing a campaign’s performance. You notice a spike in clicks just after delivery, but no corresponding open rates or conversions. Odds are it’s a Safe Links bot. Filter the data early—before it skews your engagement metrics.

For example, if you're using MailTester to validate your list before sending, you can catch invalid addresses and high-risk domains before they get into the queue. That reduces bounce rates and ensures you don’t waste sends on addresses that will generate noise anyway. Clean your list first—then analyze click data with confidence.

If you need to automate this filtering, use the MailTester API to pre-validate addresses and flag risky ones. Combine that with automated filters that block known Microsoft IPs and suspicious user agents when parsing logs.

Ultimately, accurate reports start with clean data—and clean data starts before the first email is sent. Don’t assume every click is a real user. Verify intent. Filter noise.

Validating your email list before sending removes invalid, outdated, or non-existent addresses that can trigger automated systems like Microsoft Safe Links—even without a real user clicking. Catch-all domains and role accounts often get processed by Safe Links simply because they’re technically valid, inflating click metrics and obscuring real engagement. By filtering these out upfront, you reduce the surface area for bot-driven noise and improve the accuracy of your delivery reports.

Safe Links scans every email message for malicious content, whether or not a human opens it. If your list includes invalid or dormant addresses—especially on catch-all domains—Microsoft’s system still processes them during scanning. These automated checks generate false positive “clicks” that get reported as activity, making your campaign appear more engaged than it is.

Role accounts like admin@, support@, or info@ are frequently flagged during Safe Links validation because they’re designed to receive messages without requiring human interaction. Even if no real user engages, these addresses can trigger processing and inflate reporting metrics. This creates a misleading picture of campaign performance and complicates A/B testing or ROI calculations.

Clean lists mean cleaner reporting

By using email verification to weed out these false positives, you significantly reduce unnecessary traffic to Safe Links. Only addresses that are both valid and likely to be opened by real users get sent—meaning every processed email carries actual engagement value.

MailTester’s 98.9% accuracy helps you identify and remove these problematic addresses before sending. It detects catch-all domains, role accounts, and invalid formats with precision, so your reports reflect only meaningful user interactions. Bulk verification removes the noise before it enters your workflow, and our inbox placement testing confirms your messages land where they should—where real users see them.

For developers and marketers integrating with platforms like Mailchimp, HubSpot, or SendGrid, the real-time verification API ensures only verified addresses pass through. This keeps your delivery pipeline clean and reduces the chance of automated systems misreporting activity.

Automated systems aren’t wrong—they’re just reactive. But when your list is full of non-interactive addresses, they generate misleading data. Filtering them out isn’t just hygiene; it’s reporting integrity. The same principle applies to other deliverability signals: accurate data starts with a clean list.

You can reduce Safe Links click inflation by filtering out invalid, catch-all, and risky email addresses before sending. These addresses generate false positives in security reports, skewing your metrics. MailTester identifies and removes them with 98.9% accuracy, so only real, responsive users receive your emails — cutting down automated traffic and cleaning your data.

Step-by-step: Clean your list and reduce noise

  1. Upload your email list to MailTester via the bulk verification dashboard or real-time API. You can upload up to 100,000 emails at once. This is the first step to catching invalid addresses that don’t represent real users.
  2. Filter out invalid, catch-all, and risky addresses. MailTester checks each email using SMTP, MX, and domain reputation signals. It flags addresses that are syntactically flawed, hosted on disposable domains, or set up as catch-alls — meaning they accept any incoming email, even if no one receives it. These are a major source of Safe Links false clicks.
  3. Review the results and export verified addresses. You’ll see clear verdicts: valid, invalid, catch-all, or risky. Focus only on “valid” and “likely to respond” addresses. Let’s be honest: if an email doesn’t have a real person behind it, it’s not a real user — and it shouldn’t be counted in your metrics.
  4. Reprocess your campaign sending list with only the verified, deliverable addresses. Send only to those that are both valid and likely to engage. This reduces automated clicks from bots, role accounts, or placeholder addresses, cutting down the signal noise in your reporting tools.
  5. Use inbox placement testing to verify delivery quality. After cleaning, run a delivery tester to see where your email lands — inbox, spam, or blocked. This adds confidence that your message reaches real inboxes, not just security queues. Learn more about inbox placement: MailTester Inbox Tester.

Safe Links systems tag every email click as a potential security event. When spammy or non-human emails open your message, it inflates the click count — even if no real user was involved. These false positives can make your reports look worse than they are.

By using MailTester to remove non-deliverable or non-human addresses, you eliminate the source of that noise. You’re not just improving deliverability — you’re improving data accuracy. As outlined in the RFC 5322 standard, email validation starts with parsing and domain routing, which MailTester handles at scale.

Integrations with tools like HubSpot and SendGrid let you automate this cleaning process. For example, you can connect MailTester via their API to validate new leads before they're added to your campaigns. This makes list hygiene part of your workflow — not a one-off task.

Start with 100 free verifications: MailTester pricing allows you to test the tool without risk. Credits never expire, so you can clean your list over time without pressure to act fast.

You're misleading your own analytics. Safe Links bot clicks—automated scans by Microsoft’s security infrastructure—inflate open and click rates, making campaigns appear more effective than they are. This skews performance insights, causing teams to misallocate resources, overinvest in underperforming channels, and falsely attribute engagement to real users. As a result, you risk harming sender reputation, missing real threats, and wasting time on fixes that don’t move the needle.

False signals distort your strategy

When bot clicks are included, your open rates and click-throughs look higher than they actually are. Let’s say your phishing simulation report shows 78% engagement. If 25% of those "clicks" are from automated scans, you’re basing decisions on a 30% overstatement. That’s not just inaccurate—it’s costly. You may decide to double down on a specific email template or send more frequent messages to a segment that’s not engaged, all while real users remain unresponsive.

This misleads marketing and security teams alike. A campaign might be deemed "successful" when it’s actually just generating noise. Over time, this leads to poor strategic decisions: budgeting more for channels with inflated metrics, ignoring real user feedback, or misjudging the effectiveness of content. The real cost? Wasted effort and missed opportunities to improve actual user engagement.

Reputation and alert fatigue suffer

Bots often come from disposable or spamtrap addresses. If your campaign includes these, you’re sending emails to domains that don’t respond to real humans. Repeatedly sending to addresses managed by spam traps—especially if the engagement is 0%—can hurt your sender reputation. Microsoft and other email providers monitor engagement patterns. Low real-user engagement tied to high volumes of non-deliverable or bot-heavy addresses can trigger warnings or even blocks.

And here’s the real danger: security teams start ignoring alerts. When every suspicious click report includes hundreds of Safe Links hits, it’s harder to spot one real malicious action. Over time, analysts become desensitized to notifications. A genuine threat might slip through because it’s buried in a sea of automated noise. This creates a dangerous feedback loop—less trust in security data, more risk of breaches.

That’s why filtering bot clicks isn’t optional. It’s essential. You don’t want your email hygiene or security posture compromised by automated traffic masquerading as real user behavior. Tools like MailTester’s bulk verification help clean your list of invalid, disposable, and high-risk addresses before sending—reducing spam trap exposure and improving sender reputation.

How list hygiene improves both deliverability and click accuracy

You can reduce false click signals in Microsoft Safe Links reports by cleaning your email list first. A list with invalid, dormant, or disposable addresses generates unnecessary Safe Links scans and bot-like click patterns. Clean lists improve inbox placement and sender reputation while cutting noise in engagement metrics. This gives you clearer insight into real user behavior.

Reducing scans reduces click inflation

Every email sent to a non-existent or inactive address triggers a Safe Links scan, even if no real user clicks. These scans generate clicks that look like engagement but add nothing meaningful to your reports. By removing invalid addresses upfront, you reduce the volume of these phantom clicks—leading to more accurate click-through data.

Safe Links is designed to catch malicious links, but it can’t distinguish a real human from a scanning robot when a message is sent to a nonexistent email. If your send volume includes hundreds of these, Microsoft may tag your traffic as automated, even if your actual engagement is high. Clean lists minimize this misclassification.

Better hygiene means stronger sender reputation

High bounce rates and spam complaints are red flags for Internet Service Providers (ISPs) and filtering systems. ISPs like Gmail and Outlook track sender behavior over time—and consistently sending to invalid addresses hurts your long-term deliverability.

According to Microsoft’s own documentation, behaviors like sending to non-existent domains or frequent hard bounces impact email authentication and filtering decisions. A clean list helps you stay within acceptable send patterns, reinforcing trust with ISPs.

Bulk email list verification with MailTester checks for syntax errors, disconnected domains, and non-interactive addresses—before you send. The tool flags catch-all domains, role accounts, and disposable emails, so you’re not scanning for non-responders.

The result? You’re not just cleaning up a list—you’re improving the signal-to-noise ratio in your reporting. True clicks become visible. Your inbox placement improves because you’re consistently reaching real users. And your sender reputation remains stable over time, even at scale.

Integrating MailTester with your existing email platform to automate list hygiene

You can automate list hygiene by using MailTester’s API to validate new leads in real time during signup, connect it to Mailchimp, HubSpot, Klaviyo, or SendGrid for automatic cleanup, and run scheduled bulk verifications. This stops disposable domains, catch-all addresses, and role accounts from ever hitting your inbox — reducing Safe Links click inflation caused by invalid or risky emails.

Real-time validation during onboarding

  • Use MailTester’s verification API to check every email as it enters your system during signup or onboarding.
  • Block invalid or risky addresses before they enter your database — no more sending to disposable domains like temp-mail.org or catch-alls like [email protected].
  • Let users know immediately if their email is unverifiable, improving data quality from the start.

Automated cleanup across platforms

  • Connect MailTester directly to Mailchimp, HubSpot, Klaviyo, or SendGrid through native integrations to auto-clean your lists before campaign sends.
  • Set up scheduled bulk verifications via the bulk verification tool to maintain list health across multiple campaigns.
  • Filter out role accounts (e.g. sales@, info@), which commonly trigger Microsoft Safe Links scans due to their high-risk reputation.
  • Automate the removal of catch-all addresses — they often appear as valid but are red flags for deliverability and can inflate Safe Links click rates.

According to RFC 5322, email addresses with non-descriptive or generic local parts (like admin@, postmaster@) are more likely to be flagged by security systems — including Microsoft’s Safe Links. By verifying these during pre-send stages, you reduce both false positives and wasted sends.

With 100 free verifications to start and credits that never expire, MailTester integrates seamlessly with your workflow without upfront cost or commitment. Use it to test inbox placement with inbox placement testing to validate deliverability across major providers before major sends.

Automating verification isn’t about perfection — it's about reducing noise. Every valid email sent is one less chance for Safe Links to misclassify or throttle legitimate engagement.

The bottom line: filter bot clicks to see what’s truly happening in your email campaigns

Microsoft Safe Links automatically scan every email for threats, triggering bot clicks that skew open rates and engagement metrics. These clicks do not represent real user behavior and can distort your campaign performance analysis.

Left unfiltered, bot clicks introduce noise into your reports, leading to misinformed decisions about sender reputation and list health. Filtering them ensures your data reflects actual user engagement, not automated security activity.

Use email verification to remove invalid, catch-all, and disposable addresses before sending—cutting the number of recipients subject to automated scans. This improves inbox placement and reduces false positives in security reports.

Sources

  • Gmail requires bulk senders to keep user-reported spam rates below 0.3%, warning that rates above 0.1% already hurt inbox delivery — just 3 complaints per 1,000 emails crosses the line. — Google Email Sender Guidelines FAQ (2024)
  • Google reported 265 billion fewer unauthenticated messages sent to Gmail users in 2024 — a 65% reduction — after its bulk-sender rules took effect, with 500,000+ top domains publishing DMARC records in response. — Google (via MailOver bulk-sender requirements guide) (2024)

Keep reading

Ready to put this into practice? MailTester verifies emails with 98.9% accuracy — start with 100 free verifications.

Frequently asked questions

No — these clicks are generated by Microsoft's own safety system to validate links. They are not malicious and do not pose a security threat.

Yes — if your tool pulls data from Microsoft 365 or Defender, Safe Links bot clicks may appear in click reports unless filtered.

Check the IP address (Microsoft’s datacenter IPs) and user agent (contains 'Microsoft' or 'Bot') — genuine user clicks will have client IP ranges and human agent identifiers.

No — you still receive all real threat alerts. Filtering bot clicks only removes automated noise from engagement metrics, improving signal clarity.

Not directly — but by removing invalid, catch-all, and role addresses before sending, you reduce the number of messages that trigger Safe Links checks.

Yes — by filtering out catch-all, disposable, and invalid addresses, only active, real-user addresses remain. These trigger fewer automated scans.

No — Microsoft does not count Safe Links clicks toward user or domain sending limits. They are internal validation processes.

At least monthly for active lists, or immediately before major campaigns. MailTester’s credits never expire, so you can verify on demand.

What’s the benefit of using the MailTester API for real-time verification?

It prevents invalid or risky addresses from ever entering your email workflow — reducing the number of messages that trigger Safe Links scans.

No — filtering must be done post-campaign on reported data. However, reducing the number of vulnerable addresses beforehand minimizes the problem.

Not directly — but a high volume of such clicks can signal that many addresses in your list are not real users. Cleaning the list improves accuracy.

How does MailTester’s 98.9% accuracy help with click tracking issues?

Higher accuracy means fewer false positives in your sending list. Verified addresses are less likely to be caught in automated security processes like Safe Links.