Overview
Check if a URL, SMS, or password is a scam or breached — AI reasoning, privacy-first. Input is hashed before it's sent.
Seclum reads links and messages the way a careful person would, then tells you exactly why it trusts them - or doesn't. No blacklists. No tracking. No third-party JS. Right-click any link to check it. Or open the popup, paste a suspicious text message, and get a reasoned verdict in seconds. WHAT YOU GET • AI-reasoned verdict (safe, suspicious, scam, or unknown) with a confidence score • A plain-English explanation of every signal the agent caught — typosquatting, urgency pressure, credential harvesting, suspicious TLDs, and more • Five free reasoned checks every 24 hours, no credit card required • Pay-as-you-go credit packs ($5 / $20 / $50) for overflow — credits never expire, no subscription PRIVACY COMMITMENT • Your URL or SMS is SHA-256-hashed at the network edge before reaching our servers • Our database has zero columns for raw URL or SMS content • No third-party JavaScript in the extension — no analytics SDK, no Sentry, nothing • No tracking pixels, no cross-site tracking, no fingerprinting • Open-source extension code - audit the manifest, read the code, build it yourself SINGLE PURPOSE Check whether a URL or SMS is a scam using AI reasoning.
Details
- Version0.3.0
- UpdatedJune 26, 2026
- Offered byadmin
- Size850KiB
- LanguagesEnglish (United States)
- DeveloperAngstroma, Inc.
131 Continental Dr suite 305 Newark, DE 19713 USEmail
admin@angstroma.com - Non-traderThis developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.
Privacy
Seclum — AI scam protection has disclosed the following information regarding the collection and usage of your data. More detailed information can be found in the developer's privacy policy.
Seclum — AI scam protection handles the following:
This developer declares that your data is
- Not being sold to third parties, outside of the approved use cases
- Not being used or transferred for purposes that are unrelated to the item's core functionality
- Not being used or transferred to determine creditworthiness or for lending purposes
