RegExp List Generator

by Vitaly, Wednesday, December 21st, 2016

RegExp List Generator 1.16 has been released.

What’s New

1. New option: “Don’t output Columns that start with @”.

This option is useful for generate values that are used in several columns.
For example, if you want to generate the user name as a combination of the first name, last name, or initials, you can do that this way:

Columns:

@FI=[A-Z]
FirstName=%%=@FI%%[a-z]{5,12}
@LI=[A-Z]
LastName=%%=@LI%%[a-z]{5,15}
Username=(%%=@FI%%|%%=FirstName%%)[._-]?(%%=@LI%%|%%=LastName%%)

Example of the Output:

FirstName,LastName,Username
Bpeeahda,Gbkdtl,B_G
Hnnbov,Hocadrtjzyx,HnnbovHocadrtjzyx
Hojbxuinx,Okalcywmpxsczwjn,H-Okalcywmpxsczwjn
Pfrezeezto,Vkkagdqnobo,P.V
Dkncdbdkiatl,Uwcicfbo,DkncdbdkiatlUwcicfbo
Mkqyehiqxgdwp,Hqbbuaf,Mkqyehiqxgdwp-H
Buefvilfxyjyr,Uybtxynfiha,Buefvilfxyjyr-Uybtxynfiha
Amlbvlak,Jgmyurg,AmlbvlakJ
Moxmemuh,Abbmpfwkpg,M_A

2. Generate SQL Insert Statements.

Example of the generated SQL Insert Statements:

INSERT INTO "schema1"."table1" ("FirstName","LastName","Username") VALUES ('Xjbusbgffhgo','Zyzcmng','XZ');
INSERT INTO "schema1"."table1" ("FirstName","LastName","Username") VALUES ('Bcgdhbxsdxgnd','Kvcxgkrkbzg','Bcgdhbxsdxgnd.Kvcxgkrkbzg');
INSERT INTO "schema1"."table1" ("FirstName","LastName","Username") VALUES ('Umklpw','Crpehsl','UCrpehsl');
INSERT INTO "schema1"."table1" ("FirstName","LastName","Username") VALUES ('Subcwhyx','Gxjkfyrcc','Subcwhyx_Gxjkfyrcc');
INSERT INTO "schema1"."table1" ("FirstName","LastName","Username") VALUES ('Symupexprzm','Sossuifnbgieighh','SymupexprzmS');

3. Save, Load or Delete stored Columns

Tags: SQL

Account Verifier: Domain Mask

by Vitaly, Tuesday, October 18th, 2016

Account Verifier 1.49 has been released.

What’s New

Now you can use wildcard characters in domain names, for example, an asterisk (*) or a question mark (?).
Also, you can specify multiple domains by separating them with semicolon (;).

Example:

hotmail.*;live.com;outlook.com

Tags: Domain, Mask

IP List Generator 64-Bit Edition

by Vitaly, Tuesday, October 18th, 2016

IP List Generator 2.7 64-Bit Edition has been released.

Tags: IP, List, x64

IMAP Checker 1.5

by Vitaly, Tuesday, August 2nd, 2016

IMAP Checker 1.5 has been released.

What’s New

IMAP Checker 1.5 supports POP3 protocol.

Aol POP3 Settings

Domain(s): aol.com, aol.co.uk

Host: pop.aol.com
Port: 995
SSL/TLS: Implicit SSL
Authentication Type: User/Password

Gmail POP3 Settings

Domain(s): gmail.com, googlemail.com

Host: pop.gmail.com
Port: 995
SSL/TLS: Implicit SSL
Authentication Type: User/Password

Hotmail/Outlook POP3 Settings

Domain(s): hotmail.com, outlook.com

Host: pop-mail.outlook.com
Port: 995
SSL/TLS: Implicit SSL
Authentication Type: User/Password

Yahoo POP3 Settings

Domain(s): yahoo.com, yahoo.co.uk

Host: pop.mail.yahoo.com
Port: 995
SSL/TLS: Implicit SSL
Authentication Type: User/Password

Tags: POP3

Correlated Data

by Vitaly, Tuesday, June 21st, 2016

Opt-In List Manager 1.2.78 has been released.

What’s New

New analysis feature called “Correlated Data”. It allows to keep or remove the records where data in one column or more specified columns partially or fully correlates to data in another column.

Example:

email,first_name,last_name
drewpwtm@yahoo.com,Andrew,Smallhouse

It is needed to find the records that correlate to column 1 (email) from column 2 (first name) or column 3 (last name). Consider them correlating if 3 characters in a row match. Meaning the same 3 characters or more (in the same order) are anywhere in the email address as contained in either the first name column or the last name column.

The software will take “Andrew” and split it into “and”,”ndr”,”dre”,”rew” and check for each of those in the email address. It will find a match with “dre” and therefore be a KEEP row.

If it were to not find “dre” and “rew” (it would find both) but pretend the email was khouz12345@yahoo.com instead.
Then the software would need to take “Smallhouse” and split it into “sma”, “mal”, “all”, “llh”, “lho”, “hou”, “ous”, “use” and check for those in the email address.
In the case of khouz12345@yahoo.com it would find “hou” and KEEP the record.

If both first and last name failed to find any correlation it would remove the record.

Tags: Correlate, Data, Filter, List