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Free tool to analyze suspicious images and detect online scams, phishing, and fraud. Stay protected from financial scams with ScamCheck.

Scamwise from Savi is a free browser-based service that checks suspicious messages, websites, phone numbers, images, and situations for signs of fraud without requiring an account. It gives a verdict with explanations and sources, and in testing it flagged a phishing email, verified a legitimate company site, and returned an indeterminate result for a phone number. #Savi #Scamwise #CroatianGovernmentAgency #SpanishUniversity

TrendLife™ has launched Family Circle, enhancing scam protection not just for individuals but for their loved ones too, adapting to modern scam threats effectively.

If your product has a chat, a marketplace, payments, or any user-generated text, your users are getting scam messages — fake KYC alerts, "verify your account" phishing, advance-fee cons, UPI/payment-request fraud. Catching these before a user acts is a real trust-and-safety win, but building a detector in-house is a project on its own. Here's how to add scam detection to your app with a single API call using ScamCheck. Free tier is 100 scans/month, and you can try it keyless first. ## The idea You send a piece of text (or a URL). You get back a structured verdict: is it a scam, how risky, why, and what the user should do. One call, one JSON response. ## Try it with no key (curl) curl -X POST https://scamcheck.tech/api/scan \ -H "Content-Type: application/json" \ -d '{"input":"Your account is suspended. Verify at http://hdfc-verify.xyz and share your OTP.","source":"text"}' Response: { "verdict": "Likely Scam", "risk": "high", "score": 98, "category": "phishing", "confidence": 99, "summary": "This looks strongly suspicious and should be treated as a likely scam.", "reasons": [ "Asks you to share an OTP, CVV, PIN, card number, or password.", "Uses a high-risk free or cheap top-level domain commonly used in phishing.", "Domain impersonates \"hdfc\" but is not the official website." ], "next_steps": ["Do not click any links.", "Block and report the sender."] } ## In production (Node.js, with an API key) Grab a free key from your dashboard, then: async function checkScam(text) { const res = await fetch("https://scamcheck.tech/api/v1/scan", { method: "POST", headers: { "Authorization": `Bearer ${process.env.SCAMCHECK_API_KEY}`, "Content-Type": "application/json", }, body: JSON.stringify({ input: text, source: "text" }), }); return res.json(); } // In your message handler: const verdict = await checkScam(incomingMessage); if (verdict.risk === "high") { flagForReview(incomingMessage, verdict.reasons); } ## Python import os, requests def check_scam(text: str) -> dict: r = requests.post( "https://scamcheck.tech/api/v1/scan", headers={"Authorization": f"Bearer {os.environ['SCAMCHECK_API_KEY']}"}, json={"input": text, "source": "text"}, timeout=15, ) r.raise_for_status() return r.json() result = check_scam(user_message) if result["score"] >= 65: quarantine(user_message) ## Using it from an AI agent (MCP) ScamCheck is also a Model Context Protocol server, so you can give an AI agent the ability to check messages itself. Add it in Claude (Settings → Connectors → Add custom connector): https://scamcheck.tech/api/mcp Or install for Claude Desktop / Cursor: npx scamcheck-mcp-server Now your agent can call `scan_message` whenever a user shares something suspicious — useful for agentic commerce, support bots, and AI assistants. ## How it works under the hood * A rule engine (~60 weighted patterns) does the fast first pass: URL structure, brand impersonation, credential-request phrasing, risky TLDs, and known-bad domains refreshed daily from public threat feeds. * Only borderline cases escalate to an LLM, keeping latency and cost low. * Every change runs against a labeled eval harness to guard against regressions and false positives. ## Good places to call it * **Marketplaces:** screen buyer/seller chats for off-platform and advance-fee scams. * **Fintech:** flag phishing and fake-payment messages before chargebacks. * **Chat / social:** detect scam links and impersonation in UGC. * **Trust & Safety:** auto-triage reports with a verdict, score, and reasons. Docs and free key: https://scamcheck.tech/business I built this and I'm actively improving it — if you find a message it gets wrong, I'd love to hear about it.

Trend Micro launched Scam Radar, a new feature within the Trend Micro ScamCheck app. Scam Radar offers real-time protection by identifying scam tactics utilized by cybercriminals as they happen, alerting users early and empowering them to take action before any harm is done. A recent study by Trend Micro found that 30% of consumers reported having been a victim of an online scam and 39% of victims did not even realize they had been scammed …

Protect yourself from online threats with Trend Micro ScamCheck. Our all-in-one solution provides advanced scam protection, fraud prevention, and spam blocking.

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Trend Micro has introduced Scam Radar, a groundbreaking feature in its ScamCheck app that provides real-time alerts to help consumers detect scams early and avoid financial loss.

Trend Micro has launched a new ScamCheck tool featuring voice command at the Global Anti-Scam Alliance Summit to tackle rising online scams.

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Free tool to analyze suspicious images and detect online scams, phishing, and fraud. Stay protected from financial scams with ScamCheck.

Trend Micro ScamCheck capabilities expand protection from individuals to connected groups, address scam apps, and provide more powerful proactive detection DALLAS, May 27, 2026 /PRNewswire/ -- TrendLife™, the consumer business unit of Trend Micro Incorporated (TYO: 4704; TSE: 4704) and a...

New capability in Trend Micro ScamCheck app uses advanced techniques to protect users when they need it most   DALLAS, June 25, 2025 /PRNewswire/ — Trend Micro Incorporated (TYO: 4704; TSE: 4704), a global leader in cybersecurity, today announced the launch of Scam Radar, an innovative new feature within the Trend Micro ScamCheck app. Scam Radar …