SMAC Cheating Detection

Moonwalking

STEPN GO relies on GPS for functionality. In areas with weak GPS signals, users might experience a status known as Moonwalking, where they neither earn rewards nor face penalties for cheating.

If a user experiences Moonwalking, they should seek open ground to improve GPS strength.

NOTE: Moonwalking is not considered as cheating.

What is SMAC?

SMAC, which stands for STEPN Model for Anti-Cheating, is a patented machine learning anti-cheating mechanism developed by FSL. It is designed to ensure fair play within the STEPN GO environment.

To combat cheating, three primary mechanisms are employed, which can result in penalties to the cheater's account:

1. Desensitized GPS data

2. Motion sensor and health data

3. A machine-learning STEPN’s Anti-Cheating System (SMAC)

After users end their session, the SMAC System initiates a detailed analysis to determine if there has been any exploitation of STEPN GO mechanics.

Using devices that have been jailbroken, rooted, or have an altered operating system can cause STEPN GO to function improperly. It is important to note that assistance will NOT be provided to retrieve any lost assets resulting from the use of GPS spoofing or hackware.

SMAC is on its Gen-7 version known as SMAC-7 and FSL will continuously improve the reliability and accuracy of the SMAC system.

SMAC-7 Guideline

SMAC-7 intelligently handles a wide range of common yet unintentional irregularities that may occur during use, such as using the app close to buildings, under trees, or in areas with weak GPS signals. It is also equipped to discern when the app is inadvertently left running, for example, while driving or when users are part of a running group.

Users who maintain high Turing Scores (TS) and face misjudgments concerning Abnormal Runs will have the option to appeal to the FSL customer support team.

SMAC-7 General Rules

1. The Turing Score (TS) will be displayed through a Traffic Light System for all users.

2. All users begin with a TS of 100, which can increase to a maximum of 120.

3. Judgments include: Pass (human), Abnormal Run, Multi-devices, and Bot-hack.

4. Every run session is checked by SMAC-7, even if the result is not displayed in the user’s interface.

5. For every four Energy consumption that pass the SMAC judgment, the TS will increase by 1.

6. TS will decrease for judgments involving Abnormal Runs or Multi-device use.

7. A Bot-hack judgment will lead to an immediate ban.

NOTE: These are the initial SMAC Gen-7 Rules being made public, and they may be amended with short notice.

SMAC-7 Rules on Guest

If the Guest is judged by SMAC-7 to have an Abnormal run or Multi-device, the total earnings of the running session will be sent to the Schadenfreude Pool. If the Guest is judged by SMAC-7 to be bot-hack, the Guest's account will be immediately banned, and the Sneaker and remaining Energy will be returned to the Host. The Sneaker will be locked for 48 hours for manual investigation. For further suspicious and malicious activity, the FSL team will make individual judgments on a case-by-case basis. Punishments can range from a reduction in TS to an account ban.

Traffic Light System

Green Light (81-120 TS): Users are allowed to withdraw assets.

Red Light (0-80 TS): Withdrawal of assets is restricted.

Manual Review

Manual reviews are conducted in two scenarios:

• Manual review available upon user appeal.

• Periodic and random review.

Deducted TS from erroneously judged sessions will be fully restored. Confirmed bot-hack activities will result in an immediate account ban.

SMAC-7 Judgments Rules

Low Severity: Abnormal Run

Definition:

An abnormal run is characterised by patterns of movement that do not resemble typical human running behaviour.

SMAC Judgement on Abnormal Run:

TS before start	Earning	SMAC scan	Result	Appeal
100 ~ 120	Yes	No.	-10 TS	Yes, if successful, TS restored.
81 ~ 99	No	Yes	-10 TS	No
51 ~ 80	No	Yes	-10 TS Cannot withdraw or unstake assets	No
<50	No	Yes	-10 TS Cannot withdraw or unstake assets Account flagged for manual review	No

Medium Severity: Multi-device

Definition:

Multi-device usage is identified when a user carries more than one device and activates multiple STEPN GO accounts during any single running session of any device.

SMAC Judgement on Multi-device:

TS before start	Earning	SMAC scan	Result	Appeal
100 ~ 120	Yes to one device. No to any additional devices.	No	-5 TS per additional device	No
81 ~ 99	Yes to one device. No to any additional devices.	Yes	-5 TS per additional device	No
51 ~ 80	No to all linked devices.	Yes	-5 TS per additional device Cannot withdraw or unstake assets	No
<50	No to all linked devices.	Yes	-5 TS per additional device Cannot withdraw or unstake assets Account flagged for manual review	No

High Severity: Bot-hack

Definition:

Includes Reverse Engineering, GPS Spoofing, Motion Simulation, and other malicious hacking practices.

SMAC Judgement on Bot-hack: Immediate ban with no earnings and no opportunity for appeal.