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.
Paano ito gumagana
Mula sa message hanggang sa verdict.
Ang interface ay simple. Sa ilalim nito, maraming independent checks ang nagkikita bago maglabas ng sagot.
Action Risk
Hindi porke may “OTP” ay scam na.
Context matters. Maraming signal ang tinitingnan nang sabay bago magdesisyon.
Sino raw ang nagpadala?
Saan ka talaga dinadala?
Minamadali o tinatakot ka?
Ano ang gusto nilang ipagawa sa iyo?
Ano ang maaaring mawala o makompromiso kapag sinunod?
May financial o account consequence?
May mapagkakatiwalaang source?
Tugma ba ang domain, URL, at channel?
Decision model
Interpretation helps.
Evidence decides.
Ang system ay gumagamit ng multilingual semantic parsing at factor-based intelligence para maintindihan ang context. Hindi isang language model ang nag-iisang “judge.” Ang verdict ay dumadaan sa technical evidence, verified registry data, action-risk evaluation, at safety rules.
Green Eligibility
Mas mahirap maging Green.
Ang kawalan ng obvious keyword ay hindi sapat. Bago maging Green, kailangan hindi ma-trigger ang mga safety condition na maaaring magtago ng high-consequence risk.
Green does not mean “guaranteed safe.” Ibig sabihin lang nito, walang sapat na evidence sa message para magbigay ng mas malakas na warning.
Testing
Hindi lang sa madaling examples tinest.
Ang current release candidate ay dumaan sa frozen adversarial, historical, screenshot, policy, at production-hardening gates.
Frozen adversarial benchmark
Isang reproducible high-consequence scam na ma-classify bilang Green ay sapat para i-block ang V1.0 at gawing permanent regression test.
Gold Registry
Real organization ≠ tunay ang sender.
Claim lang ito. Hindi pa authentication.
Official domain evidence na hiwalay sa suspicious message.
Software design
Production architecture.
Filipino-first, safety-oriented interface
validation, privacy sanitization, orchestration
multilingual parsing, identity and URL analysis
factor-based consequence evaluation
Gold Registry and official guidance
risk fusion, critic, Green Eligibility
Current build: v1.3.6-rc2-actionrisk · Architecture update: August 2026
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.
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 →