Why Smishing Can’t Be Stopped With Training Alone

Phishing awareness training has long been focused on one core idea: don’t click suspicious links.

Users are taught to inspect sender addresses, hover over URLs, look for formatting inconsistencies, grammatical errors, and avoid anything that feels unusual or urgent. Most of us can identify a phishy message, but only because those behaviors make sense in the email environment. What happens when modern smishing (SMS phishing) increasingly operates outside those assumptions?

In many cases, there is no obvious malicious link. Sometimes there is no link at all. Smishing is built around establishing trust, creating engagement, and gradually escalating the interaction. 

That creates a problem for defenders because many of the indicators organizations train users to look for either do not exist in SMS or no longer matter in the same way.

Training was built around URL-based threats

Traditional phishing awareness assumes users can inspect what they are interacting with and is built around slowing the user down long enough to recognize suspicious indicators before they click.

SMS changes that environment significantly: Messages are short, minimal, and often displayed through notifications or lock-screen previews. There is no hover state. In fact, we receive confirmation codes, important information from trusted institutions and trust that if someone has our phone number, they might know us. 

Even when a malicious link is present, the user often has far less information available to evaluate it, but we are seeing an increase in attacks without URLs.

“Hello.”

One of the biggest shifts in mobile social engineering is that many attacks no longer begin with immediate compromise attempts. Instead, they begin with interaction and they heavily rely on our curiosity. 

An initial smishing message may ask the user to reply to confirm their identity, to respond “YES” to continue or simply elicit a response to a generic “hello” message to find out who it is.

This simple method allows the attacker to move the conversation from “unknown sender” to “safe sender” and out of the view of native scam detection tools.

According to recent industry research from Verizon, 77% of security professionals believe AI-assisted deepfake and SMS phishing attacks are likely to succeed. The concern is not just the quality of the messages themselves, but how quickly modern social engineering campaigns can adapt, personalize, and escalate across channels.

Once a user begins interacting, the attack becomes much harder to evaluate through traditional awareness models.

Smishing Defense starts at the Messaging Layer

Security awareness training still has tremendous value. Users should understand how smishing works, how to report suspicious messages, and why mobile threats matter.

But training alone is not enough, as we continue to see how a malicious link can have catastrophic consequences to business. We must also support users to report these attempts using simple flows and be part of the cyber defense one SMS at a time. 

At iVerify, we believe that the core issue is lack of visibility. Most organizations have very limited insight into SMS-based social engineering, and that means defenders need new ways to identify risk within the messaging layer itself.

This is exactly the problem iVerify’s SmishGuard was built to address.

SmishGuard extends the iVerify Enterprise Mobile EDR platform with mobile-native social engineering detection, specifically designed for SMS and mobile messaging threats. Instead of relying solely on known malicious links or user-reported incidents, it analyzes manipulation patterns such as urgency, authority, and fear, along with sender intelligence and conversational risk signals, to identify both link-based and linkless smishing attacks.

It also allows users to report these attempts easily, without the need to follow extensive steps. This also allows for high-confidence detections to propagate across the fleet, suspicious numbers can be blocked before attacks spread further, and structured alerts integrate directly into existing SIEM/XDR workflows for investigation and response.

Most importantly, this visibility is introduced directly into the environment where these attacks actually occur: the mobile messaging layer itself.

Organizations need visibility and detection capabilities designed specifically for how modern mobile social engineering actually works.

If you want to learn more about how SmishGuard detects and responds to link-based and linkless smishing attacks across SMS and mobile messaging platforms, book a demo to see it in action.