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ScamShield
ScamShield is a product suite that defends against scams, and was developed by Open Government Products in collaboration with the Singapore Police Force (SPF) and the National Crime Prevention Council (NCPC). It consists of iOS and Android mobile applications used by members of public to check suspicious messages, calls and weblinks and report scam messages and calls. The ScamShield app also automatically blocks/filters known scam calls and messages using an intelligent ML classifier in the backend. The suite contains an Admin Dashboard that is used by the SPF to mark reports from members of public as scam after a human checker has checked.
SINCE 2020
Active
Product Overview
Team Members
9
⅓PM
2⅔Engineer
1⅔Design
1Ops
⅓Policy
Cost Per Quarter
$739,181
Show breakdown
$288,686
Salary
$136,947
Infrastructure
$220,984
Corporate Overhead
$64,735
Equipment, Software & Office
$27,829
Others
Usage
944K
Total app installs
+4%
186K
Total blacklisted entities
+46%
Cost Effectiveness
$0.78
Cost per existing user
+6%
$0.083
Cost per report
+9%
Satisfaction
3/5
iOS App Store Rating
0%
3.8/5
Android App Store Rating
+6%
Key Highlights
Q2 2024 Apr-Jun
- Tested the enhanced ScamShield app MVP with members of public to iterate on their feedback and improve the UIUX and value proposition of the app before developing it for productionization
- Built and released the enhanced ScamShield beta app to WOG testers and worked on fixing bugs before roll out to members of public in Q3 2024
- Researched and implemented the MVP for the ScamShield Admin Dashboard which will be used by agencies working in the scam space to mark reports sent to the enhanced ScamShield app once it is rolled out to general public
- Worked with SPF and NCPC colleagues to revamp the ScamShield suite, starting wih the with ScamShield official website
- Secured Snr Mgt approval for the enhanced ScamShield app features and functionalities
Q1 2024 Jan-Mar
- Developed the Check and Report feature as the new anchor feature for the revamped ScamShield app and conducted user tests to validate our hypothesis.
- Rebuilt the backend to implement this new feature and enhanced features for call blocking and SMS filtering.
- Researched and implemented a ML Classifier which incorporates LLM to better accurately label large datasets and provide better outcomes for the Check feature.
- Collaborated with SPF’s Anti Scam Command to compile and label scam datasets to train the new classifier to support the app rebuild.
- Worked closely with SPF’s Scam Public Education Office and the National Crime Prevention Council to rationalise the Scam Alert website, redesign the one-stop scams portal cum website which will be launched ahead of the SPF Workplan Seminar.
- Secured DBS’ and BCS’ buy-in to work on an end-to-end production pilot using SPF and ScamShield data by Q2 2024.
- Formalised legal documents which are now boilerplate for all anti-scam projects run by GovTech and SPF in collaboration with private sector entities generally reducing the barrier for scam data sharing in general.
Q4 2023 Oct-Dec
- Completed full system migration from v1 to v2 (across v2 of the database, APIs, classifier, Admin dashboard and app.) v2 classifier improves detection of phishing links with much greater accuracy.
- Rolled out onboarding permissions to ensure users have their permissions set up properly to ensure Call Blocking & Identification, Mobile Data Access and Background App Refresh is enabled. Since the feature was launched, there was an increase from around 23% to 80% for Call Blocking & Identification permissions and an increase from around 63% to 80% for iOS Mobile Data and Background App Refresh permissions.
- Addressed several incidents and bugs - i.e. fixed a regex error which prevented call blocking from working as it should, fixed a problem of SS App wrongly classifying OTPs and removing LIKELY-SCAM from the blacklist as it was not an accurate indicator of scam, fixed an error with Auto-report consumer (AWS ECS) service that iss responsible for consuming messages from SQS causing our auto reports to be dropped and fixed an issue where a telco’s messages were wrongly getting blacklisted.
- Enhanced system monitoring as a whole to detect the functioning of components - this would allow for detection of system components not working (which was not present previously). This includes better error logging via DataDog, adding more granular categories for report source to help with debugging/analytics/ML improvements, added deviceID to all client side HTTPS requests enabling traceability and enhancing our debugging capability for prod devices and helping us to identify if an issue is device specific or user specific, measurement of whether the call directory extension was working, detecting whether ScamShield was set as the default call screening app for Android users, increase Android permissions sampling rate to 30% for better coverage etc.
- Secured Stakeholder buy-in from SPF for a blacklist and greylist API pilots with banks and telcos to automate the provision of production order data from the police to institutions and provide early detection of scam.
- Developed relationship with WOG anti-scams teams which unlocked access to overall anti-scam policy and plans landscape and industry connections (e.g. MasterCard, telco senior leadership) for data sharing pilot.
- Secured agreement of 1 bank and completed data sharing agreement to facilitate a data sharing pilot to assess the usefulness of Scamshield’s data.
Q3 2023 Jul-Sep
ScamShield Bot launched on July 20th to Public
- Total User count reached ~10K Bot Users up to date
- Generated 11,960 completed Checking sessions and 10,638 Reports on the Bot
Released new version of ScamShield App on iOS and Android with enhanced Classifier. Updates include:
- Enhanced machine learning algorithm to detect phishing links in SMSes.
- Improved blocking of scams: SMSes from unknown SMS senders are now checked against a blacklist.
- Recognition of trusted senders: the App now prevents the blocking of SMSes from trusted senders that have been registered with local authorities.
- Improved reporting: The App now accepts reports received from other platforms.
Q2 2023 Apr-Jun
- ScamShield Bot released to users across Whole-of-Government and targeted user groups
- Reached 1432 Total number of Bot users
- Generated 1336 completed Checking sessions and 1204 Reports on the Bot after 1 month of rollout
- New SPF Dashboard generating ~4,400+ Blacklisted entities
Q1 2023 Jan-Mar
- New SPF Dashboard was launched to the SPF-Anti Scam Command Team to review and action on reports submitted via ScamShield Bot and the ScamShield.org website
Q4 2022 Oct-Dec
- ScamShield Android App launched to public in October 2022
- Within 1 month, Android App was downloaded by ~100K users
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