Battery

1. What is Battery in Browser Fingerprinting

The Battery Status API (navigator.getBattery()) was introduced to allow websites to access information about the system’s battery state, like:

• Battery charging status (isCharging)
• Battery charge level (level)
• Remaining time until empty (dischargingTime)
• Estimated time until fully charged (chargingTime)

Although seemingly benign, this information has been used for browser fingerprinting, as combinations of battery status metrics are often unique and persistent, especially when tracked across multiple visits.

More importantly, battery data reflects the usage behavior of a device (e.g., mobile users charging more frequently, lower power users on laptops), making Battery API fingerprinting a powerful signal in platforms that:

• Compare behavioral usage between sessions
• Run multi-account detection systems
• Attempt to detect virtualized or headless browsing environments

2. How Platforms Detect Battery Fingerprints

Site detection and anti-fingerprint services may monitor:

1. Battery Status API Access:
   Reading navigator.getBattery() and analyzing the returning promise, including values like level and isCharging.

2. Battery Script Signing:
   Collecting timestamp inconsistencies between battery state changes to detect automation or spoofing tools.

3. Battery Life Consistency Graphs:
   Advanced systems may build battery charge profiles over time. Sudden resets, fake readings, or unnatural transitions can be red flags.

4. Amount of Charging/Discharging Events:
   Behavioral websites may analyze how often a device switches between full charge and low battery across logins.

5. Comparison Against Other Fingerprint Components:
   For example, a desktop user claiming to be in a Chromebook configuration but returning 100% battery all the time, or a mobile user with mismatched charging patterns, can be marked as suspicious.

3. How FlashID Generates Battery Fingerprints

Even in frameworks and browsers where battery detection is possible or partially available, FlashID isolates and virtualizes battery data per profile to offer:

• Battery fingerprint spoofing across multiple sessions
• Realistic and dynamic charge/discharge transitions
• Fraud-resisting logic with intelligent defaults

FlashID’s battery fingerprint simulation includes:

1. Manufacturer-Level Battery Spoofing:

• Whether the device is charging or discharging
• Custom battery level from 0 to 1.0 (e.g., 0.45, 0.68)
• Simulated chargingTime and dischargingTime

2. Battery API Isolation per Profile:

• Each browser profile maintains its own .level, .charging, and timing data
• No underlying system data leakage between FlashID profiles

3. Custom State Transition Logic:

• FlashID lets users control how battery values change over time (e.g., show steady discharging every 5 mins to avoid detection)
• Optionally returns API not available or undefined to imitate minimal battery context

4. Battery Fingerprint Randomization with Boundaries:

• Can be randomized between plausible levels like 85%, 43%, 67%
• Prevents abrupt full-charged → low-charged flips that suggest falsification

5. Adaptively Masks Battery Traces in Detection Libraries:

• Bypasses tracking and detection frameworks that use snippets to detect active spoofing of battery properties
• Uses real-world-bound geolocation + battery behavior syncing to ensure sessions appear from real users

Battery status is a subtle but persistent fingerprint behavior, often overlooked by users but targeted by platforms looking to challenge fake sessions, especially in identity platforms, bot farms, and online gaming.

With FlashID, Battery data is isolated, masked, and plausibly spoofed, all while ensuring minimal detection bias based on unlikely or abrupt power changes.

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