This Firebase Authentication error occurs when you attempt to update a user's last sign-in time with an invalid or malformed UTC date string. The error typically appears when using the Firebase Admin SDK to modify user records programmatically, especially during user migration, data synchronization, or custom authentication workflows.
The "auth/invalid-last-sign-in-time" error in Firebase Authentication indicates that your application is trying to set or update a user's lastSignInTime field with a value that doesn't conform to Firebase's required UTC date format. Firebase stores authentication timestamps (like last sign-in time, creation time, and password update time) in a specific ISO 8601 UTC format. When you use the Admin SDK's updateUser() method or similar functions to modify user records, Firebase validates that any timestamp values you provide are properly formatted UTC dates. This error commonly occurs in scenarios like: 1. User migration: When migrating users from another authentication system to Firebase 2. Data synchronization: When syncing user data between Firebase and other systems 3. Custom authentication workflows: When implementing custom sign-in logic that updates user records 4. Backend user management: When administrative tools modify user properties The error prevents the operation from completing because Firebase cannot parse the provided timestamp string as a valid UTC date.
Firebase requires UTC timestamps in ISO 8601 format ending with "Z". Check your current timestamp:
Correct format:
// Correct - ISO 8601 UTC with "Z"
const correctTimestamp = "2025-01-15T10:30:00.000Z";
// Also acceptable (without milliseconds)
const correctTimestampSimple = "2025-01-15T10:30:00Z";Incorrect formats that cause the error:
// WRONG - Local time without timezone
const wrong1 = "2025-01-15T10:30:00";
// WRONG - With timezone offset instead of "Z"
const wrong2 = "2025-01-15T10:30:00+00:00";
// WRONG - JavaScript Date object (not string)
const wrong3 = new Date();
// WRONG - Milliseconds since epoch
const wrong4 = "1736929800000";
// WRONG - Custom format
const wrong5 = "January 15, 2025 10:30:00";Quick validation function:
function isValidFirebaseTimestamp(timestamp) {
if (typeof timestamp !== 'string') return false;
// Must end with Z (UTC) and match ISO 8601 pattern
const isoPattern = /^\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}(\.\d{3})?Z$/;
return isoPattern.test(timestamp) && !isNaN(Date.parse(timestamp));
}If you have timestamps in other formats, convert them to Firebase-compatible UTC:
From JavaScript Date object:
const date = new Date();
const firebaseTimestamp = date.toISOString(); // "2025-01-15T10:30:00.000Z"From milliseconds since epoch:
const milliseconds = 1736929800000;
const date = new Date(milliseconds);
const firebaseTimestamp = date.toISOString();From local time string (assuming it's in UTC):
const localTimeString = "2025-01-15T10:30:00";
const date = new Date(localTimeString + "Z"); // Add Z to treat as UTC
const firebaseTimestamp = date.toISOString();From other timezone with offset:
const timezoneString = "2025-01-15T10:30:00-05:00"; // EST
const date = new Date(timezoneString);
const firebaseTimestamp = date.toISOString(); // Converts to UTCUsing a utility function:
function toFirebaseTimestamp(input) {
if (input instanceof Date) {
return input.toISOString();
} else if (typeof input === 'string') {
// Try to parse as date
const date = new Date(input);
if (isNaN(date.getTime())) {
throw new Error('Invalid date string');
}
return date.toISOString();
} else if (typeof input === 'number') {
// Assume milliseconds
return new Date(input).toISOString();
} else {
throw new Error('Unsupported input type');
}
}Once you have a properly formatted timestamp, update the user correctly:
Using Firebase Admin SDK (Node.js):
const admin = require('firebase-admin');
const serviceAccount = require('./serviceAccountKey.json');
admin.initializeApp({
credential: admin.credential.cert(serviceAccount),
});
async function updateUserLastSignIn(uid, timestamp) {
try {
// First, validate the timestamp
if (!isValidFirebaseTimestamp(timestamp)) {
throw new Error('Invalid timestamp format');
}
// Update the user
await admin.auth().updateUser(uid, {
lastSignInTime: timestamp,
});
console.log('User updated successfully');
} catch (error) {
console.error('Error updating user:', error.message);
throw error;
}
}
// Usage
const userId = 'user123';
const validTimestamp = new Date().toISOString(); // Current time in UTC
updateUserLastSignIn(userId, validTimestamp)
.then(() => console.log('Done'))
.catch(console.error);Important considerations:
1. Permissions: Your service account needs firebaseauth.users.update permission
2. Rate limiting: Firebase has rate limits for user updates
3. Validation: Firebase validates other fields too (email, displayName, etc.)
4. Batch operations: For multiple users, consider batch processing with delays
When migrating users from another system, ensure proper timestamp conversion:
Migration script structure:
async function migrateUsers(legacyUsers) {
const admin = require('firebase-admin');
for (const legacyUser of legacyUsers) {
try {
// Convert legacy timestamp to Firebase format
const firebaseTimestamp = convertLegacyTimestamp(legacyUser.lastLogin);
// Create or update user in Firebase
await admin.auth().updateUser(legacyUser.id, {
email: legacyUser.email,
displayName: legacyUser.name,
lastSignInTime: firebaseTimestamp,
// Other fields as needed
});
console.log('Migrated user: ' + legacyUser.email);
// Add delay to avoid rate limiting
await new Promise(resolve => setTimeout(resolve, 100));
} catch (error) {
console.error('Failed to migrate user ' + legacyUser.email + ':', error.message);
// Log error but continue with other users
}
}
}
function convertLegacyTimestamp(legacyTimestamp) {
// Handle various legacy formats
if (legacyTimestamp instanceof Date) {
return legacyTimestamp.toISOString();
}
if (typeof legacyTimestamp === 'string') {
// Try common formats
const formats = [
'YYYY-MM-DD HH:mm:ss',
'MM/DD/YYYY HH:mm:ss',
'DD-MM-YYYY HH:mm:ss',
// Add other formats your system uses
];
for (const format of formats) {
try {
// Use a library like moment.js or date-fns for parsing
const date = parseDate(legacyTimestamp, format);
if (date) return date.toISOString();
} catch (e) {
// Try next format
}
}
}
// If conversion fails, use current time
console.warn('Could not parse timestamp: ' + legacyTimestamp + ', using current time');
return new Date().toISOString();
}Migration best practices:
1. Test with a small batch first
2. Implement proper error handling and logging
3. Consider using Firebase's user import feature for large migrations
4. Validate all user data before migration
5. Have a rollback plan
Create comprehensive tests for your timestamp conversion and user update logic:
Unit tests for timestamp conversion:
const assert = require('assert');
describe('Timestamp conversion', () => {
it('should convert Date object to Firebase format', () => {
const date = new Date('2025-01-15T10:30:00Z');
const result = toFirebaseTimestamp(date);
assert.strictEqual(result, '2025-01-15T10:30:00.000Z');
});
it('should convert ISO string to Firebase format', () => {
const result = toFirebaseTimestamp('2025-01-15T10:30:00Z');
assert.strictEqual(result, '2025-01-15T10:30:00.000Z');
});
it('should reject invalid timestamp strings', () => {
assert.throws(() => toFirebaseTimestamp('invalid-date'));
});
it('should handle milliseconds since epoch', () => {
const ms = 1736929800000; // 2025-01-15T10:30:00Z
const result = toFirebaseTimestamp(ms);
assert.strictEqual(result, '2025-01-15T10:30:00.000Z');
});
});
describe('Firebase timestamp validation', () => {
it('should accept valid Firebase timestamps', () => {
assert(isValidFirebaseTimestamp('2025-01-15T10:30:00.000Z'));
assert(isValidFirebaseTimestamp('2025-01-15T10:30:00Z'));
});
it('should reject timestamps without Z', () => {
assert(!isValidFirebaseTimestamp('2025-01-15T10:30:00'));
});
it('should reject timestamps with timezone offset', () => {
assert(!isValidFirebaseTimestamp('2025-01-15T10:30:00+00:00'));
});
});Integration test for user update:
describe('User update integration', () => {
let testUserId;
before(async () => {
// Create a test user
const user = await admin.auth().createUser({
email: '[email protected]',
password: 'test123',
});
testUserId = user.uid;
});
after(async () => {
// Clean up test user
await admin.auth().deleteUser(testUserId);
});
it('should update user with valid timestamp', async () => {
const timestamp = new Date().toISOString();
await admin.auth().updateUser(testUserId, {
lastSignInTime: timestamp,
});
const updatedUser = await admin.auth().getUser(testUserId);
assert.strictEqual(updatedUser.metadata.lastSignInTime, timestamp);
});
it('should reject invalid timestamp', async () => {
const invalidTimestamp = 'invalid-date';
try {
await admin.auth().updateUser(testUserId, {
lastSignInTime: invalidTimestamp,
});
assert.fail('Should have thrown error');
} catch (error) {
assert(error.code === 'auth/invalid-last-sign-in-time');
}
});
});Add robust error handling and monitoring for timestamp-related operations:
Error handling wrapper:
async function safeUpdateUser(uid, updates) {
try {
// Validate timestamp if present
if (updates.lastSignInTime) {
if (!isValidFirebaseTimestamp(updates.lastSignInTime)) {
throw new Error('Invalid lastSignInTime format');
}
}
const result = await admin.auth().updateUser(uid, updates);
// Log successful update
console.log({
event: 'user_updated',
userId: uid,
timestamp: new Date().toISOString(),
fields: Object.keys(updates),
});
return result;
} catch (error) {
// Log detailed error information
console.error({
event: 'user_update_failed',
userId: uid,
errorCode: error.code,
errorMessage: error.message,
timestamp: new Date().toISOString(),
updates: updates,
stack: error.stack,
});
// Re-throw for caller to handle
throw error;
}
}Monitoring and alerts:
1. Log aggregation: Use services like Cloud Logging, Datadog, or Splunk
2. Error rate monitoring: Alert if error rate exceeds threshold
3. Latency monitoring: Track user update operation latency
4. Dashboard: Create dashboard showing:
- Successful/failed user updates
- Most common error types
- Peak usage times
- Migration progress (if applicable)
Alert configuration example:
# Example alert policy (Google Cloud Monitoring)
alert_policy:
display_name: "High Firebase user update failure rate"
condition:
condition_threshold:
filter: 'metric.type="logging.googleapis.com/user_defined" resource.type="global" metric.labels.event="user_update_failed"'
aggregations:
alignment_period: "300s"
per_series_aligner: ALIGN_RATE
comparison: COMPARISON_GT
threshold_value: 0.05 # 5% failure rate
duration: "600s" # 10 minutes
notification_channels:
- "projects/project-id/notificationChannels/123456"### Understanding Firebase Authentication Timestamps
Firebase Authentication uses several timestamp fields for user metadata:
1. lastSignInTime: When the user last signed in successfully
2. creationTime: When the user account was created
3. passwordUpdateTime: When the password was last changed
All these fields use the same ISO 8601 UTC format requirement.
### Timezone Considerations
Why UTC is required:
- Consistency across servers in different timezones
- Avoids daylight saving time issues
- Simplifies comparison and sorting operations
- Aligns with Firebase's global infrastructure
Common timezone pitfalls:
1. Server timezone differences: Development vs production servers might have different timezone settings
2. Client-side time generation: Browser/device times may not be UTC
3. Database timezone settings: Existing databases might store times in local timezone
### Migration Strategies
For large-scale migrations:
1. Use Firebase Import Tool: For bulk user imports, use the official Firebase user import feature which handles timestamp conversion
2. Staged migration: Migrate users in batches with validation between batches
3. Dual-write approach: Write to both old and new systems during transition period
4. Validation phase: Run comparison checks between source and Firebase data
Timestamp reconstruction:
If source system doesn't have accurate timestamps:
1. Use account creation date if available
2. Use first activity date as proxy for last sign-in
3. Document assumptions in migration notes
4. Consider setting all migrated users with a known migration timestamp
### Performance Considerations
Rate limiting:
- Firebase Admin SDK has rate limits for user operations
- Typical limits: ~1,000 requests per second per project
- Implement exponential backoff for retries
- Use batch operations where possible
Optimization tips:
1. Cache user lookups: Reduce unnecessary getUser() calls
2. Batch updates: Group multiple field updates in single call
3. Async processing: Use queues for non-critical updates
4. Monitor quotas: Track usage against Firebase quotas
### Security Implications
Timestamp manipulation risks:
1. Account activity spoofing: Incorrect timestamps can hide suspicious activity
2. Audit trail integrity: Timestamps are crucial for security investigations
3. Compliance requirements: Some regulations require accurate audit trails
Best practices:
1. Validate all timestamps before writing to Firebase
2. Log timestamp changes for audit purposes
3. Implement approval workflows for manual user updates
4. Regularly audit user metadata for anomalies
### Testing Edge Cases
Test your implementation with:
1. Leap years: February 29 in leap years
2. Timezone transitions: Daylight saving time changes
3. Far future dates: Years beyond 2038 (32-bit Unix time limit)
4. Historical dates: Very old accounts (pre-1970)
5. Microsecond precision: Firebase supports millisecond precision
### Alternative Approaches
If timestamp conversion is too complex:
1. Omit timestamp: Let Firebase set default values
2. Use current time: For migrated users, use migration time as last sign-in
3. Custom metadata: Store original timestamps in Firestore or custom claims
4. External synchronization: Maintain timestamp mapping in external system
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