BioBigBox Database

Feb 2022
Breach Count:

51,008

Region:

Global

News Report:

-

Leak from:
File Size:

4.63 MB

Uncompressed File Size:

27.86 MB

File Count:

1

The BioBigBox Database biobigbox.com leak in 2022 leaked a large amount of personal information, including 50,108 records. The leaked data included users real names, email addresses, and passwords.

According to reports, the BioBigBox Database contains information about biologists and researchers working in the field of biotechnology. The database was allegedly owned by a Chinese company called BioBigBox Inc., which provides life science research tools and services.

The leaked data includes a wide range of information, including names, email addresses, passwords, and other personal details. This information could potentially be used for malicious purposes, such as phishing or identity theft.

Its worth noting that BioBigBox Inc. has denied being responsible for the leak, and the company claims that all its data is encrypted and secure. However, its unclear how the leaker was able to gain access to the data and whether the companys security measures are adequate.

The BioBigBox Database leak is another example of the growing threat of data breaches in the technology and biotechnology sectors. As more and more companies store sensitive information online, the risk of data breaches continues to increase.

The leaked data is not only limited to names and email addresses but also includes passwords. The passwords are stored in plain text, making it even easier for hackers to gain unauthorized access to the accounts.

The BioBigBox Database leak serves as a wake-up call for companies to prioritize data security and protect their users personal information.

It also highlights the importance of implementing robust cybersecurity measures and ensuring that sensitive data is properly encrypted and secured.

Leaked Information:
Full Name
Email
Password
Phone
Address

We have loaded this breach into our database.

File List:
biobigbox_52k.sql
File Content Sample:
DROP TABLE IF EXISTS `lp_user`;
CREATE TABLE `lp_user` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`user_id` int(11) NOT NULL,
`country` varchar(50) NOT NULL DEFAULT 'US',
`language` varchar(50) NOT NULL DEFAULT 'EN',
`email` varchar(255) DEFAULT NULL,
`email_1` varchar(255) DEFAULT NULL,
`first_name` varchar(250) DEFAULT NULL,
`last_name` varchar(255) DEFAULT NULL,
`phone` varchar(20) DEFAULT NULL,
`phone_code` int(5) DEFAULT NULL,
`phone_code_country` varchar(10) DEFAULT NULL,
`customer_token` varchar(255) DEFAULT NULL,
`card_holder_name` varchar(255) DEFAULT NULL,
`card_number` int(10) DEFAULT NULL,
`expiry_month` int(10) DEFAULT NULL,
`expiry_year` int(10) DEFAULT NULL,
`card_token` varchar(255) DEFAULT NULL,
`card_type` varchar(25) DEFAULT NULL,
`client_ip` varchar(255) DEFAULT NULL,
`card_updated_datetime` datetime DEFAULT NULL,
`is_blocked` int(1) DEFAULT '0' COMMENT '0-Not Blocked,1-Blocked',
`created_datetime` timestamp NOT NULL ON UPDATE CURRENT_TIMESTAMP,
`updated_datetime` datetime DEFAULT NULL,
PRIMARY KEY (`id`),
KEY `user_id` (`user_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COMMENT='Table to store Plan Now User Contact';

INSERT INTO `lp_user` (`id`, `user_id`, `country`, `language`, `email`, `email_1`, `first_name`, `last_name`, `phone`, `phone_code`, `phone_code_country`, `customer_token`, `card_holder_name`, `card_number`, `expiry_month`, `expiry_year`, `card_token`, `card_type`, `client_ip`, `card_updated_datetime`, `is_blocked`, `created_datetime`, `updated_datetime`) VALUES
(1, 10540, 'US', 'EN', '[email protected]', NULL, 'Poonam', 'Rawal', '9999999999', 91, '', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, 0, '2018-02-07 04:50:06', '2018-04-18 10:05:36'),
(2, 10542, 'US', 'EN', '[email protected]', NULL, '', NULL, '', 0, '', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, 0, '2018-02-07 05:34:45', '0000-00-00 00:00:00'),
(3, 10543, 'US', 'EN', '[email protected]', NULL, '', NULL, '', 0, '', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, 0, '2018-02-07 05:58:29', '0000-00-00 00:00:00'),
(4, 292, 'US', 'EN', '[email protected]', NULL, '0', '0', '', 0, '', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, 0, '2021-02-03 12:17:24', '0000-00-00 00:00:00'),
(5, 10806, 'US', 'EN', '[email protected]', NULL, 'Michael', 'Saltzman', '544257500', 972, '', 'cus_CKNNYiANsZm6q7', NULL, 5237, 8, 2020, 'card_1CF5KqBZi1m6nlLFGXHa3o8Q', 'Visa', '37.142.233.63', NULL, 0, '2018-02-14 04:40:06', '2018-04-10 10:38:22'),
(6, 10048, 'US', 'EN', '[email protected]', '', 'LabPronto', 'Services', '544257500', 972, 'IL', 'cus_GTA8Fj2Q268nlG', NULL, 6855, 10, 2024, 'card_1FwDobBZi1m6nlLFMrnBcqe1', 'MasterCard', '172.31.61.156', NULL, 0, '2021-11-16 16:23:29', '2021-11-16 16:23:29'),
(7, 4008, 'US', 'EN', '[email protected]', NULL, '', NULL, '', 0, '', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, 0, '2018-02-15 02:19:03', '0000-00-00 00:00:00'),
(8, 4009, 'US', 'EN', '[email protected]', NULL, 'Ronak', 'Shah', '9924983290', 91, '', 'cus_CKtkOe8PyPtXNS', NULL, 3396, 7, 2019, 'card_1BwDxEBZi1m6nlLFE6RU9qHZ', 'Visa', '117.223.152.153', NULL, 0, '2018-02-16 13:24:26', '2018-02-16 13:29:29'),
(9, 6296, 'US', 'EN', '[email protected]', NULL, 'Bhavin', 'Jagad', '0200465856', 972, '', 'cus_CL95YQD2SNvBYe', NULL, 7544, 2, 2020, 'card_1BwSn5BZi1m6nlLF8K63UvcV', 'Visa', '123.201.155.132', NULL, 0, '2018-02-17 05:16:11', '2018-06-28 13:26:11'),