PII_type: EMAIL

Exploration_sql:
Based on the schema of the tables in the database, the columns in the BOOKMARKS table that might contain email addresses are: URL, SURL, TAGS, ACCOUNT_NAME, and ACCOUNT_TYPE.

To search for possible email addresses in these columns, you can use the following SQL query:

```sql
SELECT URL FROM BOOKMARKS WHERE URL REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}'
UNION ALL
SELECT SURL FROM BOOKMARKS WHERE SURL REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}'
UNION ALL
SELECT TAGS FROM BOOKMARKS WHERE TAGS REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}'
UNION ALL
SELECT ACCOUNT_NAME FROM BOOKMARKS WHERE ACCOUNT_NAME REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}'
UNION ALL
SELECT ACCOUNT_TYPE FROM BOOKMARKS WHERE ACCOUNT_TYPE REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}'
```

This query will search for email addresses in the specified columns of the BOOKMARKS table.

PII_Prompt: a unique identifier for a destination to which electronic mail (email) can be sent and received over the internet; examples include jane.doe@example.com, john.smith@provider.net, dev-team@startup.io, and user.name+label@domain.org


PII_type: PHONE

Exploration_sql:
The 'BOOKMARKS' table in the database contains columns such as URL, TITLE, TAGS, ACCOUNT_NAME, and DESCRIPTION. To search for US phone numbers in these columns, we can use the following SQL query:

```sql
SELECT URL FROM BOOKMARKS WHERE URL REGEXP '\+?[0-9]{1,4}[- .]?\(?[0-9]{1,3}?\)?[- .]?[0-9]{1,4}[- .]?[0-9]{1,4}[- .]?[0-9]{1,9}'
UNION ALL
SELECT TITLE FROM BOOKMARKS WHERE TITLE REGEXP '\+?[0-9]{1,4}[- .]?\(?[0-9]{1,3}?\)?[- .]?[0-9]{1,4}[- .]?[0-9]{1,4}[- .]?[0-9]{1,9}'
UNION ALL
SELECT TAGS FROM BOOKMARKS WHERE TAGS REGEXP '\+?[0-9]{1,4}[- .]?\(?[0-9]{1,3}?\)?[- .]?[0-9]{1,4}[- .]?[0-9]{1,4}[- .]?[0-9]{1,9}'
UNION ALL
SELECT ACCOUNT_NAME FROM BOOKMARKS WHERE ACCOUNT_NAME REGEXP '\+?[0-9]{1,4}[- .]?\(?[0-9]{1,3}?\)?[- .]?[0-9]{1,4}[- .]?[0-9]{1,4}[- .]?[0-9]{1,9}'
UNION ALL
SELECT DESCRIPTION FROM BOOKMARKS WHERE DESCRIPTION REGEXP '\+?[0-9]{1,4}[- .]?\(?[0-9]{1,3}?\)?[- .]?[0-9]{1,4}[- .]?[0-9]{1,4}[- .]?[0-9]{1,9}'
```

This query will search for US phone numbers in the URL, TITLE, TAGS, ACCOUNT_NAME, and DESCRIPTION columns of the 'BOOKMARKS' table.


PII_type: USERNAME

Exploration_sql:
The 'BOOKMARKS' table in the database contains several columns. To find possible usernames, we can search the following columns for short textual identifiers that do not include whitespace and are intended for human recognition:
- ACCOUNT_NAME
- ACCOUNT_TYPE
- TAGS
- SYNC1
- SYNC2
- SYNC3
- SYNC4
- SYNC5
- keyword
- description
- guid

We will search these columns for potential usernames using the REGEXP pattern matching.
```sql
SELECT ACCOUNT_NAME FROM BOOKMARKS WHERE ACCOUNT_NAME REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b'
UNION ALL
SELECT ACCOUNT_TYPE FROM BOOKMARKS WHERE ACCOUNT_TYPE REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b'
UNION ALL
SELECT TAGS FROM BOOKMARKS WHERE TAGS REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b'
UNION ALL
SELECT SYNC1 FROM BOOKMARKS WHERE SYNC1 REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b'
UNION ALL
SELECT SYNC2 FROM BOOKMARKS WHERE SYNC2 REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b'
UNION ALL
SELECT SYNC3 FROM BOOKMARKS WHERE SYNC3 REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b'
UNION ALL
SELECT SYNC4 FROM BOOKMARKS WHERE SYNC4 REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b'
UNION ALL
SELECT SYNC5 FROM BOOKMARKS WHERE SYNC5 REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b'
UNION ALL
SELECT keyword FROM BOOKMARKS WHERE keyword REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b'
UNION ALL
SELECT description FROM BOOKMARKS WHERE description REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b'
UNION ALL
SELECT guid FROM BOOKMARKS WHERE guid REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b'

PII_Prompt: a username is a short textual identifier chosen by a user to represent their account or public handle within an application or service it is stored as plain text contains no whitespace does not include a domain component and is intended for human recognition rather than internal system uniqueness


Exploration_sql: Based on the schema of the tables in the database, the columns that may contain person names are not present in the BOOKMARKS and android_metadata tables. If you have additional tables or specific columns in mind where you suspect person names might be stored, please provide that information for further analysis.

PII_Prompt: a loosely structured human name-like strings that typically consist of a first name, a first name and a last name, and may also include middle names, initials, prefixes (e.g., Mr., Dr.), and suffixes (e.g., Jr., Sr.)


Exploration_sql:
The table "BOOKMARKS" in the database contains columns that might potentially have US postal addresses. To search for US postal addresses in the database, we can query specific columns in the "BOOKMARKS" table. Let's proceed with searching for US postal addresses in relevant columns of the "BOOKMARKS" table.
```sql
SELECT URL FROM BOOKMARKS WHERE URL REGEXP '(?i)\b(?:p\.?\s*o\.?\s*box|post\s+office\s+box|ave\.?|avenue|st\.?|street|rd\.?|road|blvd\.?|boulevard|dr\.?|drive|ln\.?|lane|ct\.?|court|pl\.?|place|way|pkwy\.?|parkway|cir\.?|circle|ter\.?|terrace|hwy\.?|highway|trl\.?|trail|sq\.?|square|pike|loop|run|walk|path|byp\.?|bypass|(?:n|s|e|w|ne|nw|se|sw)\b)\b'
UNION ALL
SELECT TITLE FROM BOOKMARKS WHERE TITLE REGEXP '(?i)\b(?:p\.?\s*o\.?\s*box|post\s+office\s+box|ave\.?|avenue|st\.?|street|rd\.?|road|blvd\.?|boulevard|dr\.?|drive|ln\.?|lane|ct\.?|court|pl\.?|place|way|pkwy\.?|parkway|cir\.?|circle|ter\.?|terrace|hwy\.?|highway|trl\.?|trail|sq\.?|square|pike|loop|run|walk|path|byp\.?|bypass|(?:n|s|e|w|ne|nw|se|sw)\b)\b'
UNION ALL
SELECT TAGS FROM BOOKMARKS WHERE TAGS REGEXP '(?i)\b(?:p\.?\s*o\.?\s*box|post\s+office\s+box|ave\.?|avenue|st\.?|street|rd\.?|road|blvd\.?|boulevard|dr\.?|drive|ln\.?|lane|ct\.?|court|pl\.?|place|way|pkwy\.?|parkway|cir\.?|circle|ter\.?|terrace|hwy\.?|highway|trl\.?|trail|sq\.?|square|pike|loop|run|walk|path|byp\.?|bypass|(?:n|s|e|w|ne|nw|se|sw)\b)\b'

PII_Prompt: a US postal address is a street-level mailing location in the United States, commonly appearing as a street name and suffix (e.g., 'Market St') optionally with a street number (e.g., '1500 Market St'), unit, city/state, ZIP, or a PO Box (e.g., 'P.O. Box 123')