Selenium in AWS Lambda VS ZeroScam

ZeroScam is a simple tool that helps people check suspicious messages before they click, reply, or send money.

Paste a text message, email, link, or screenshot and ZeroScam analyzes it instantly for common scam patterns such as impersonation, fake invoices, romance scams, investment fraud, and phishing attempts.

Instead of relying only on blacklists or known malicious domains, ZeroScam analyzes the structure and persuasion patterns commonly used in scams — including urgency signals, impersonation cues, and suspicious links.

The goal is not only to flag potential scams but also to explain why a message may be suspicious. This helps users learn to recognize scams over time and avoid future fraud attempts.

ZeroScam is designed for everyday situations: - strange text messages - unexpected payment requests - suspicious emails - unfamiliar links - screenshots of messages received on messaging apps

Privacy is a core design principle. No account is required, messages are not stored.

Whether you are verifying a strange text message, checking a suspicious email, or helping a family member avoid scams, ZeroScam provides a fast and simple way to double-check before taking action.

Questions & Answers

As answered by people managing Selenium in AWS Lambda and ZeroScam.

What makes your product unique?

ZeroScam's answer:

Most scam detection tools rely on URL blacklists or known malicious domains. ZeroScam analyzes the persuasion patterns within the message itself — urgency signals, impersonation cues, and authority mimicry — the tactics scammers use regardless of domain or sender.

It also explains why a message looks suspicious, helping users learn to recognize scams over time.

No account required and messages aren’t stored.

Why should a person choose your product over its competitors?

ZeroScam's answer:

ZeroScam is simple, private, and works with any message — no account, no installation, and no message retention.

Instead of relying on threat databases or infrastructure signals, ZeroScam looks at the message itself and explains what might make it suspicious.

The goal isn’t just detection, but helping people understand how scams work so they can recognize them more easily next time.

What's the story behind your product?

ZeroScam's answer:

ZeroScam started after my own parents nearly fell for a scam. The message looked completely legitimate — correct language, personal details, even their bank’s logo. AI had made it convincing enough that they almost clicked.

That moment made something clear: modern scams no longer look suspicious. The warning signs people used to rely on are disappearing.

ZeroScam was built as a simple way to double-check suspicious messages before clicking, replying, or sending money — especially for the people we care about most.

How would you describe the primary audience of your product?

ZeroScam's answer:

ZeroScam is designed for everyday users who want a quick way to verify suspicious messages.

This includes people receiving unexpected texts or emails, families helping older relatives stay safe online, and small businesses that want to double-check unusual requests.

Anyone who has ever wondered “Is this message a scam?” is part of the audience.

Which are the primary technologies used for building your product?

ZeroScam's answer:

ZeroScam is built using modern web technologies and a custom message analysis engine designed to identify common scam patterns while maintaining strict privacy principles.

Who are some of the biggest customers of your product?

ZeroScam's answer:

ZeroScam is currently used by individual users and early adopters.

Compare Selenium in AWS Lambda VS ZeroScam and see what are their differences