Do email security software solutions click hyperlinks in emails?
Updated on 15 Oct 2026: We clarified automated link checks, click filtering, and safeguards for single-use links and one-click unsubscribe.
Yes, many email security software solutions automatically fetch hyperlinks in emails. These automated visits are called non-human interactions (NHI) or bot clicks when a tracking system records them as clicks. Secure email gateways (SEGs) and sandboxing engines inspect destinations to assess their safety. A recorded click does not always mean a human clicked, and a URL reputation lookup does not always generate a visit.
A useful pattern is a sudden spike on a low-intent link, such as a footer icon, privacy policy, social icon, or hidden tracking link. Treat that as a bot-click signal to investigate, especially when the clicking recipients share an organization or filtering network. The recipient's actual security policy is more informative than their industry alone.
This does not automatically mean the campaign has a deliverability problem. Automated security inspection is one explanation for the pattern. The practical work is to separate likely human engagement from automated activity, avoid overreacting to noisy click data, and check whether a tracking domain, redirect chain, or link pattern has started to look suspicious.
Direct answer
Email security tools fetch links to test the final destination, follow redirects, inspect reputation, and sometimes execute the page in a controlled environment. A burst across many links or unusual clicks on footer icons is a reason to investigate automated scanning. Confirm it with request logs and other signals before excluding the events.
Why email security tools click links
The job of an email security system is to stop unsafe messages before or after they reach the mailbox. Links are one of the main things these systems inspect because an email can pass basic content checks but still send users to a harmful page after delivery.
A scanner can fetch a link before or shortly after delivery, when a recipient clicks, or during periodic re-checks. Some systems use URL rewriting to route links through a time-of-click check. Others prefetch links before delivery. Rewriting alone does not establish that a destination was visited, and an unmodified URL does not establish that it escaped inspection. Checks also differ by policy and cached results, so campaigns to the same audience can show different activity.
- Safety check: The scanner opens the destination to see whether it hosts malware, credential collection, suspicious scripts, or unexpected redirects.
- Reputation check: The scanner evaluates the domain, subdomain, IP, redirect host, and page reputation before letting the user through.
- Redirect check: The scanner follows click-tracking URLs because the visible tracking host hides the final destination until the redirect completes.
- Sampling check: The scanner tests selected messages, selected links, or selected recipients, which makes the pattern look random across campaigns.
- Post-delivery check: The scanner re-checks a link after delivery because a safe page can be changed after the email reaches the inbox.
Flowchart showing how email security software follows and checks links.
What bot clicks look like in campaign data
Bot clicks often look different from human clicks. Humans tend to click links that match intent, such as the main call to action, a product link, an event registration link, or a clear next step. Automated scanners also fetch social icons, unsubscribe links, preference centers, legal links, and linked images. Loading a tracking pixel records an open, not a hyperlink click. No single signal proves that a click is automated, so use several signals together.
The most useful clue is clustering. Abnormal clicks from many recipients at the same domain can point to recipient-side security. Similar patterns can also span unrelated recipient domains that use the same cloud filtering network. Check whether the same request pattern recurs across those recipients before attributing the activity to a shared security policy.
Human engagement
- Intent match: Clicks concentrate on the main offer, article, product, form, or event link.
- Timing spread: Clicks occur over minutes, hours, and days as people read email.
- Page depth: Analytics show page views, scrolls, conversions, or follow-up sessions.
Automated scanning
- Link mismatch: Clicks hit footer icons, legal links, image links, or every URL in the email.
- Timing burst: Clicks arrive seconds or minutes after delivery in a tight cluster.
- Thin session: Analytics show no meaningful page behavior after the redirect.
Also look for unnatural breadth. If one recipient appears to click ten links within a second, that is unlikely to be a person comparing options. If multiple recipients at the same domain click the same low-value link at nearly the same time, that supports a scanning diagnosis. A missing web session is supporting evidence only: consent settings, blocked analytics scripts, or an abandoned page load can also prevent session recording. Browser-based scanners can execute JavaScript and create sessions, so session presence alone is not proof of human interest either.
|
|
|
|---|---|---|
Footer spike | Automated link inspection | Compare timing and breadth |
Fast burst | Pre-delivery or post-delivery scan | Confirm with other signals |
Many links | URL crawl | Flag suspicious events |
Same domain or network | Shared filtering policy | Compare request evidence |
No session | Bot fetch or missing analytics | Check server logs before exclusion |
Use this table as a quick triage guide, not as a hard rule.
Why one campaign or footer link gets a click spike
It is normal for the anomaly to move around. One campaign can show a spike on a social icon, another on a privacy-policy link, and the rest can look clean. That does not establish that the audience changed behavior. Differences in scanning policy, cached verdicts, or selected-link checks can change which URLs are fetched.
A scanner also cares about link structure, not only visible placement. A footer icon can become interesting if it has a unique redirect, a dynamically generated URL, a tracking wrapper, a shortened path, query-string tokens, or a destination that the scanner has not cached. If the filter sees a serialized URL for every recipient, it can follow many variants because each URL looks different.
Dynamic links complicate measurement
Per-recipient tracking URLs and long redirect chains can lead to repeated URL checks because the scanner has to resolve the destination. Those requests can look like engagement. Personalized URLs alone do not establish that a message is suspicious or that every recipient link will be fetched.
Click event patterntext
10:00:04 delivered to recipient@example.com 10:00:08 click: footer-twitter 10:00:08 click: footer-youtube 10:00:09 click: privacy-policy 10:00:09 click: unsubscribe 10:00:10 no matching browser session on site
That pattern belongs in a likely bot-click bucket. A person can click quickly, but a person rarely clicks several unrelated utility links within one or two seconds and then leaves no browser session on the destination site.
How to verify whether clicks are automated
The fastest way to assess automated clicks is to compare email-platform click data with web analytics, server logs, and recipient-domain patterns. Do not rely on the email platform alone. A tracking redirect can register a click even when the scanner never behaves like a real visitor after the redirect.
- Check timing: Compare clicks with send and delivery timestamps. Scans can happen before delivery, immediately afterward, or later, so timing alone is not a filter.
- Check breadth: Flag recipients that click many unrelated links in the same email within a short window.
- Check depth: Compare the click with page analytics, conversion events, session duration, and browser behavior.
- Check domains: Look for clusters at the same recipient domain or across different domains using the same filtering network. Industry alone is not evidence of automation.
- Check link type: Compare footer, legal, social, and unsubscribe links with primary calls to action. Avoid adding hidden links just to identify scanners.
- Check request evidence: Compare the HTTP method, IP network, user-agent, cookies, and redirect completion. Use these as supporting evidence because scanners can imitate browsers and people can share an egress IP.
A practical test is to send identical messages to test mailboxes with different known security policies and leave them unopened. Check for requests before any human interaction, then make a controlled click on a known link for comparison. Ask the recipient's administrator to correlate the timestamps with gateway logs. Consumer mailboxes also have security scanning, so they are not a guaranteed bot-free control.
Email tester
Send a real email to this address. Suped shows a results button when the test is ready.
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Send a separate copy through your normal sending provider to Suped's email tester to inspect the received message's authentication results, sending setup, and unsubscribe headers. Use that technical check alongside click logs; it does not reproduce the recipient's security policy or classify campaign clicks.
For reporting, keep raw clicks and a separate bot-adjusted click metric, with documented rules and a review path for borderline events. Distinguish total clicks from unique clickers: repeated fetches inflate total clicks, and a scanner request attributed to a recipient can inflate unique clickers too. Keep uncertain events unclassified rather than treating missing evidence as proof of automation.
Google Analytics 4 traffic acquisition report showing email campaign sessions and engagement.
Five signals used to classify automated email clicks.
How security clicks affect deliverability
A security click is not automatically bad for deliverability. It is often a normal part of inbound protection. The bigger issue is what the scanner finds. If your click-tracking domain has poor reputation, sits on a blocklist (blacklist), uses long redirect chains, or sends users through inconsistent destinations, the scan can create friction before the message reaches the user.
Authentication still matters, but it solves a different problem. DMARC checks whether SPF or DKIM passes with an authenticated domain that matches the visible From domain under DMARC's domain-matching rules. It does not prove that a URL is safe or stop link scanning. Suped's DMARC monitoring product helps teams review sending sources, authentication failures, and issue alerts alongside an investigation. Classify click events using the email platform and web logs; DMARC reports contain authentication data rather than click activity.
Suped DMARC dashboard showing email volume, authentication health, and source breakdown
If the click-tracking host itself has reputation trouble, treat that as a separate operational problem. A blocklist or blacklist listing can cause link warnings, blocked redirects, or security interstitials. That does not mean every scan counted as engagement is harmful, but it does mean the tracking domain needs attention.
Blocklist checker
Check your domain or IP against 144 blocklists.
Suped's blocklist monitoring product checks sending IPs and domains against supported blocklists (blacklists). Use it when link warnings or delivery failures require a listing investigation, and compare those findings with authentication results. A clear result does not guarantee that every recipient security system trusts a tracking URL.
How to reduce false click inflation
You cannot stop recipient security systems from inspecting links, and you should not try to bypass them. The practical goal is cleaner measurement and less suspicious link design. If the destination is obvious, stable, and reputable, scanners can resolve it without unnecessary redirect work. If your reporting separates bot-like activity from human behavior, campaign decisions become more reliable.
- Use stable redirects: Avoid unnecessary redirect hops and make sure each tracking URL resolves consistently.
- Limit link clutter: Do not overload templates with low-value links that add noise to scans and reports.
- Separate metrics: Report raw clicks, bot-adjusted clicks, unclassified events, and confirmed sessions separately, and document whether the email platform already filters bots.
- Protect scoring: Do not trigger sales alerts, lead scores, or nurture exits from a single suspicious click.
- Monitor reputation: Check sending domains, tracking domains, and authentication records when link warnings appear.
Bot-click confidence bands
Example scores for routing suspicious events, not probabilities or industry benchmarks. Define and validate a scoring method against controlled tests and reviewed events before applying these illustrative bands.
Low confidence
0-39
One click on a primary call to action with normal session behavior.
Review
40-69
Fast click timing or low-value link with weak session evidence.
High confidence
70-100
Many links clicked quickly, no session depth, and a clear domain cluster.
The same logic belongs in automation rules. A single click two seconds after delivery is weaker evidence of intent than a click followed by a verified form submission. Apply exclusions to suspicious events rather than suppressing every later click from that recipient. Raw click data has value, but it should not be the only input for intent.
A clean reporting rule
Classify events as likely human, likely automated, or unclassified using documented rules and multiple signals. Keep all events in raw logs, exclude likely automated events from adjusted reporting, and state how unclassified events are handled. Require stronger evidence before a click affects lead scoring or ROI.
Prevent scanner clicks from triggering actions
Scanner traffic becomes an operational problem when merely fetching a URL changes account state. Treat GET and HEAD requests as requests that a security system, browser preview, crawler, or person can issue without confirming intent. These endpoints should display information or metadata without unsubscribing a contact, approving a request, confirming attendance, or advancing an automation.
- Keep GET and HEAD requests read-only: Show a landing page or preference screen before any body-link action changes stored data.
- Require explicit confirmation: Use a form submission or an authenticated in-app action for approvals, registrations, account changes, and similar workflows. A POST request alone does not prove that a person authorized the action.
- Separate tracking from action: Do not let the tracking redirect itself trigger a conversion, preference change, or sales workflow.
- Log request evidence safely: Retain the HTTP method, timestamp, redirect result, token outcome, and final confirmation event. Redact secret tokens in URLs and use a non-secret correlation ID.
RFC 8058 addresses accidental unsubscribes caused by automated URL fetching. For header-based one-click unsubscribe, the receiving mail system obtains user consent and sends an HTTPS POST to the List-Unsubscribe URL with List-Unsubscribe=One-Click in the body. A valid DKIM signature must cover both List-Unsubscribe and List-Unsubscribe-Post. Process that POST without a redirect, login, or further confirmation page. A body-link GET can display a confirmation page; it is not one-click consent.
Do not use hidden links as proof
A hidden or honeypot link can provide one bot signal, but it can also create accessibility problems and security systems do not all crawl links the same way. Do not use it as the sole reason to discard every click from a recipient.
Protect password-reset and single-use login links
Automated fetching can consume a single-use token before the recipient opens the message. Password resets, email verification, invitation links, and magic links for passwordless login are affected when a URL visit redeems the token. The recipient then sees an "already used" or "expired" error even though delivery succeeded.
- Delay token consumption: Keep the initial GET or HEAD read-only and redeem the token only during the intended confirmation or login action.
- Check the full confirmation flow: A button that follows another GET link still exposes a token-consuming endpoint. Test the action behind the button.
- Offer a code alternative: A one-time code entered on the intended site avoids redeeming a token through an automatic URL fetch.
- Review click tracking: If the login implementation requires an unmodified link, disable tracking for that message type and test delivery separately.
An administrator's reported password-reset failure illustrates the symptom, but a forum report does not establish which scanner caused an incident. Compare token issuance, first request, and redemption timestamps in your own logs, using redacted identifiers.
How to explain it to stakeholders
When several signals support a scanning diagnosis, explain which evidence supports it and which events remain uncertain. A footer-link spike with tightly clustered requests and weak session evidence supports excluding those events from performance credit. A missing web session alone does not establish that every click was automated.
Stakeholder notetext
We saw a click spike on footer links after delivery. The timing, link type, and domain clustering match automated scanning. We will keep raw clicks in the audit log. Performance reporting will use bot-adjusted clicks and confirmed sessions.
That framing keeps the team away from blame. The security scanners are doing their job. Your team is doing its job by measuring the difference between security inspection and real engagement.
For a deeper operational split, compare your bot-adjusted reporting with guidance on artificial opens and clicks. That gives the analytics team a cleaner way to document filters, exclusions, and scoring thresholds without hiding the original data.
Views from the trenches
Best practices
Keep raw clicks separate from adjusted clicks so audits and campaign reports stay clear.
Use timing, link type, session depth, and domain clusters before scoring click intent.
Review redirect chains and tracking domains when scanners hit low-intent template links.
Common pitfalls
Treating every email-platform click as human engagement inflates performance reporting.
Ignoring recipient-domain and network clusters hides recurring automated scanning patterns.
Using dynamic tracking URLs for every link can increase scanner activity and report noise.
Expert tips
Keep destinations stable and redirects short, then test which requests scanners generate.
Use confirmed sessions or conversions before moving a contact into high-intent workflows.
Monitor DMARC and domain reputation when link warnings and scan bursts appear together.
Marketer view
Marketer from Email Geeks says email security platforms regularly follow links, so a click spike on a footer icon should be checked before it is treated as human interest.
2022-03-08 - Email Geeks
Marketer view
Marketer from Email Geeks says dynamic or serialized URLs can lead filters to follow many versions because each recipient link appears different to the scanner.
2022-03-08 - Email Geeks
Investigate the affected links first
Start with the affected campaigns, isolate the domains and links involved, and compare click timing with site sessions and server logs. Preserve raw events, document exclusions, and review uncertain clicks before they affect lead scoring or ROI. Check authentication and reputation separately when delivery failures or link warnings accompany the spike.
