“Your OTP is 294018 for a bills payment of ₱3,150 to MERALCO. Never share this code.”
Check the transaction you initiated. Keep the OTP private.MAS SIMPLE SA USER. MAS MAHIGPIT SA ILALIM.
Scam Ba ’To? was built for the few seconds before a risky tap. Hindi mo kailangang maging cybersecurity expert. Kailangan mo lang ng malinaw na sagot bago ka mag-click, magbayad, o magbigay ng impormasyon.
Hindi ito “AI na nanghuhula.” May context analysis, evidence checks, verified registry data, action-risk evaluation, at safety gates bago ilabas ang verdict.
Hindi lang namin tinatanong kung mukhang scam ang message.
Sinusuri namin kung ano ang pinapagawa nito sa iyo, sino ang sinasabi nitong nagpadala, saan ka nito dinadala, at kung may ebidensyang sumusuporta sa claim.
Bakit hindi sapat ang keywords
May OTP. May pera. May bangko. Scam na ba agad?
Hindi. Ang parehong salita ay puwedeng lumabas sa normal na transaction at sa phishing message. Ang mahalaga ay kung ano ang pinapagawa sa iyo, saan ka dinadala, at kung tugma iyon sa verified information.
Anatomy of a message
Hindi isang signal ang tinitingnan.
Binabasa ang relasyon ng identity, event, requested action, destination, at available evidence.
Claimed identityEventPressure / actionDestination
Scam Ba ’To? does not treat any one of these as automatic proof. It asks how the signals behave together.
Under the hood
May data sa likod ng simpleng sagot.
Ang registry at test corpus ay ginagamit para mag-check ng organizations, destinations, known practices, at difficult message behavior. Recognition is not authentication.
716organization intelligence profiles
648recognition entities
186verified destinations
211verified communication & safety facts
Financial176
Education144
Government112
Utilities67
Health51
Coverage counts describe the current intelligence registry, not the number of real-world scam incidents.
For the curious
Gusto mong makita kung ano talaga ang nasa ilalim?
The technical report documents the system architecture, Bronze–Silver–Gold data pipeline, organization intelligence coverage, benchmark structure, validation strategy, and known limitations.
Explore the Technical Report →Limitasyon
Hindi ito magic shield.
Hindi pinapatunayan ng Green result na tunay ang sender. Hindi rin nito mapapalitan ang bangko, government agency, telco, o law-enforcement authority.
Para sa pera, account access, OTP, password, o personal information, dumiretso sa independently verified official app, website, o contact channel.
Developer
jsescobanez@national-u.edu.ph ↗Professor John Clement Escobañez, MSIT
Professor · College of Computing and Information Technologies · National University – Manila
John Clement Escobañez is an information technology professor whose work sits at the intersection of applied artificial intelligence, decision intelligence, systems integration, digital governance, and human-centered computing. His teaching and project work span web systems, enterprise and systems architecture, multimedia technologies, and the practical use of emerging technologies in real-world settings.
He develops technology with a strong emphasis on usability, explainability, and decision support—especially for people who should not need technical expertise just to make a safer choice. Scam Ba ’To? follows that approach: complex checks underneath, a direct answer on the surface.
FIELDInformation Technology
FOCUSApplied AI · Decision Intelligence · E-Governance
TEACHINGWeb Systems · Systems Integration · Multimedia Technologies
ORCID0009-0007-0727-6711 ↗
GOOGLE SCHOLARResearch profile ↗
DBLPPublication records ↗
CONTACTjsescobanez@national-u.edu.ph ↗
Institutional affiliation is shown for professional identification and does not by itself imply official institutional endorsement of this independent project.
Sa dulo, simple lang.
Bago mag-click,
mag-check muna.
Kung mapigilan nito kahit isang maling click, maling transfer, o maling pagbibigay ng impormasyon, ginagawa nito ang trabaho nito.
Suriin ang isang message →