Find answers and learn how ShouldEye works.

Scam Detection

Identify phishing, fake stores, and fraudulent offers with AI-powered analysis

• Scam Detection · 3 min readPopularWhat is Scam Check?Scam Check is ShouldEye's dedicated fraud detection mode. Switch to it from the search bar and enter a suspicious URL, paste an email, or upload a screenshot. Our AI analyzes 20+ fraud indicators. Domain age, SSL configuration, visual similarity to known brands, payment flow patterns, and social engineering tactics. To determine if something is a scam. Results include a threat level, specific red flags, and recommended actions.Read articleHide details

  Scam Check is ShouldEye's dedicated fraud detection mode. Switch to it from the search bar and enter a suspicious URL, paste an email, or upload a screenshot. Our AI analyzes 20+ fraud indicators. Domain age, SSL configuration, visual similarity to known brands, payment flow patterns, and social engineering tactics. To determine if something is a scam. Results include a threat level, specific red flags, and recommended actions.

• Scam Detection · 2 min readAnalyzing suspicious URLsPaste any URL into Scam Check and our AI will analyze the domain registration date, SSL certificate validity, hosting location, content similarity to known legitimate sites, payment processor legitimacy, and presence on known blocklists. Results show a threat score (0–100), identified red flags, and a clear recommendation: Safe, Caution, or Dangerous.Read articleHide details

  Paste any URL into Scam Check and our AI will analyze the domain registration date, SSL certificate validity, hosting location, content similarity to known legitimate sites, payment processor legitimacy, and presence on known blocklists. Results show a threat score (0–100), identified red flags, and a clear recommendation: Safe, Caution, or Dangerous.

• Scam Detection · 2 min readAnalyzing screenshots for scamsUpload a screenshot of a suspicious email, website, social media post, or text message. Our AI uses visual analysis to detect cloned brand logos, fake urgency language, suspicious links, impersonation attempts, and known scam templates. This is especially useful for phishing emails and social media scams where the URL isn't easily accessible.Read articleHide details

  Upload a screenshot of a suspicious email, website, social media post, or text message. Our AI uses visual analysis to detect cloned brand logos, fake urgency language, suspicious links, impersonation attempts, and known scam templates. This is especially useful for phishing emails and social media scams where the URL isn't easily accessible.

• Scam Detection · 3 min readCommon scam types we detectShouldEye detects phishing sites (fake login pages), clone stores (copied legitimate e-commerce sites), advance fee fraud, fake investment platforms, romance scams, tech support scams, subscription traps (free trials that auto-charge), fake charities, cryptocurrency rug pulls, and social engineering attacks. Our detection models are updated weekly with new scam patterns.Read articleHide details

  ShouldEye detects phishing sites (fake login pages), clone stores (copied legitimate e-commerce sites), advance fee fraud, fake investment platforms, romance scams, tech support scams, subscription traps (free trials that auto-charge), fake charities, cryptocurrency rug pulls, and social engineering attacks. Our detection models are updated weekly with new scam patterns.

• Scam Detection · 1 min readReporting a scamIf you've confirmed something is a scam, use the "Report Scam" button on the results page. Your report helps protect other users by adding the URL/entity to our threat database. Verified scam reports earn XP and contribute to community safety. You can also report scams you've encountered outside of ShouldEye.Read articleHide details

  If you've confirmed something is a scam, use the "Report Scam" button on the results page. Your report helps protect other users by adding the URL/entity to our threat database. Verified scam reports earn XP and contribute to community safety. You can also report scams you've encountered outside of ShouldEye.

• Scam Detection · 2 min readHow to protect yourself from scamsAlways verify before you trust: check the URL carefully for misspellings, look for HTTPS and valid certificates, be suspicious of deals that seem too good to be true, never share passwords or 2FA codes, and use ShouldEye to check any unfamiliar company before transacting. If you've already been scammed, use our Action Plans to find recovery steps specific to your situation.Read articleHide details

  Always verify before you trust: check the URL carefully for misspellings, look for HTTPS and valid certificates, be suspicious of deals that seem too good to be true, never share passwords or 2FA codes, and use ShouldEye to check any unfamiliar company before transacting. If you've already been scammed, use our Action Plans to find recovery steps specific to your situation.

• Scam Detection · 1 min readHow accurate is Scam Check?Our scam detection has a 99.4% accuracy rate, validated against real consumer outcomes and known scam databases. False positives (flagging legitimate sites as scams) occur in less than 0.3% of checks. When the AI is uncertain, it clearly indicates a "Caution" level rather than a definitive judgment, and explains which signals are ambiguous.Read articleHide details

  Our scam detection has a 99.4% accuracy rate, validated against real consumer outcomes and known scam databases. False positives (flagging legitimate sites as scams) occur in less than 0.3% of checks. When the AI is uncertain, it clearly indicates a "Caution" level rather than a definitive judgment, and explains which signals are ambiguous.