Greetings HF!
I need to identify a hashing algorithm of a chinese site. The hashes I dumped are:
password = ###bdd62503200f2b647fa77a3a701d5c96
plain text password = anardy69
username = "pibil1"
There's another column named uuid which contains values for example
uuid = "4DEFFF03380F19D00EE97B57C47FEEB1"
I need to identify the hashing algorithm, it's not MD5, if I remove the three ### its not a simple MD5. Has anybody came across a hashing algorithm like this?. Thanks in advance.
Full table is the following, I still couldn't figure out the algorithm.
+-------+----------------------------------+-------------+------+------+-------------------------+-------+-------+--------+--------+---------+--------+--------+---------+--------+-------------+--------+--------+--------------+---------+---------+---------+---------+---------+---------+---------+----------+----------+----------+-----------------+----------+-------------------------------------+------------+----------+----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+------------+-------------+-------------+-------------+-------------+-------------+-------------+-------------+-------------+---------------+-----------------+-------------------+-------------------+-------------------+--------------------+
| id | uuid | referral_id | coin | risk | email | score | uendt | rank | type | avatar | bought | credit | device | frozen | mobile | orders | rating | reg_ip | level | point | balance | browser | reviews | verifys | voucher | source | status | evidence | login_ip | nickname | password | reg_time | turnover | username | canc_odrs | is_mobile | more_data | negatives | paid_odrs | positives | uend_attr | login_time | is_delivery | is_evidence | last_opt_ip | seller_desc | seller_pose | seller_rank | seller_sure | traded_odrs | last_opt_time | username_update | email_update_time | is_agree_send_sms | order_traded_rate | become_seller_time |
+-------+----------------------------------+-------------+------+------+-------------------------+-------+-------+--------+--------+---------+--------+--------+---------+--------+-------------+--------+--------+--------------+---------+---------+---------+---------+---------+---------+---------+----------+----------+----------+-----------------+----------+-------------------------------------+------------+----------+----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+------------+-------------+-------------+-------------+-------------+-------------+-------------+-------------+-------------+---------------+-----------------+-------------------+-------------------+-------------------+--------------------+
| 54763 | 4DEFFF03380F19D00EE97B57C47FEEB1 | 0 | 0 | low | [email protected] | 0 | 0 | 0 | 1 | <blank> | 0.00 | 0 | Windows | 0.00 | 56957311992 | 0 | 0 | 181.43.151.5 | 1 | 0 | 0.00 | Chrome | 0 | <blank> | 0.00 | direct | 1 | NULL | 169.150.196.143 | <blank> | ###bdd62503200f2b647fa77a3a701d5c96 | 1697935781 | 0.00 | pibil1 | 0 | 1 | NULL | 0 | 0 | 0 | NULL | 1770670335 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1770671629 | 0 | 0 | 0 | 0 | 0 |
+-------+----------------------------------+-------------+------+------+-------------------------+-------+-------+--------+--------+---------+--------+--------+---------+--------+-------------+--------+--------+--------------+---------+---------+---------+---------+---------+---------+---------+----------+----------+----------+-----------------+----------+-------------------------------------+------------+----------+----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+------------+-------------+-------------+-------------+-------------+-------------+-------------+-------------+-------------+---------------+-----------------+-------------------+-------------------+-------------------+--------------------+
I need to identify a hashing algorithm of a chinese site. The hashes I dumped are:
password = ###bdd62503200f2b647fa77a3a701d5c96
plain text password = anardy69
username = "pibil1"
There's another column named uuid which contains values for example
uuid = "4DEFFF03380F19D00EE97B57C47FEEB1"
I need to identify the hashing algorithm, it's not MD5, if I remove the three ### its not a simple MD5. Has anybody came across a hashing algorithm like this?. Thanks in advance.
Full table is the following, I still couldn't figure out the algorithm.
+-------+----------------------------------+-------------+------+------+-------------------------+-------+-------+--------+--------+---------+--------+--------+---------+--------+-------------+--------+--------+--------------+---------+---------+---------+---------+---------+---------+---------+----------+----------+----------+-----------------+----------+-------------------------------------+------------+----------+----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+------------+-------------+-------------+-------------+-------------+-------------+-------------+-------------+-------------+---------------+-----------------+-------------------+-------------------+-------------------+--------------------+
| id | uuid | referral_id | coin | risk | email | score | uendt | rank | type | avatar | bought | credit | device | frozen | mobile | orders | rating | reg_ip | level | point | balance | browser | reviews | verifys | voucher | source | status | evidence | login_ip | nickname | password | reg_time | turnover | username | canc_odrs | is_mobile | more_data | negatives | paid_odrs | positives | uend_attr | login_time | is_delivery | is_evidence | last_opt_ip | seller_desc | seller_pose | seller_rank | seller_sure | traded_odrs | last_opt_time | username_update | email_update_time | is_agree_send_sms | order_traded_rate | become_seller_time |
+-------+----------------------------------+-------------+------+------+-------------------------+-------+-------+--------+--------+---------+--------+--------+---------+--------+-------------+--------+--------+--------------+---------+---------+---------+---------+---------+---------+---------+----------+----------+----------+-----------------+----------+-------------------------------------+------------+----------+----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+------------+-------------+-------------+-------------+-------------+-------------+-------------+-------------+-------------+---------------+-----------------+-------------------+-------------------+-------------------+--------------------+
| 54763 | 4DEFFF03380F19D00EE97B57C47FEEB1 | 0 | 0 | low | [email protected] | 0 | 0 | 0 | 1 | <blank> | 0.00 | 0 | Windows | 0.00 | 56957311992 | 0 | 0 | 181.43.151.5 | 1 | 0 | 0.00 | Chrome | 0 | <blank> | 0.00 | direct | 1 | NULL | 169.150.196.143 | <blank> | ###bdd62503200f2b647fa77a3a701d5c96 | 1697935781 | 0.00 | pibil1 | 0 | 1 | NULL | 0 | 0 | 0 | NULL | 1770670335 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1770671629 | 0 | 0 | 0 | 0 | 0 |
+-------+----------------------------------+-------------+------+------+-------------------------+-------+-------+--------+--------+---------+--------+--------+---------+--------+-------------+--------+--------+--------------+---------+---------+---------+---------+---------+---------+---------+----------+----------+----------+-----------------+----------+-------------------------------------+------------+----------+----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+------------+-------------+-------------+-------------+-------------+-------------+-------------+-------------+-------------+---------------+-----------------+-------------------+-------------------+-------------------+--------------------+
