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  1.    _ _    ___       ___ _      ___         _   _            
  2.  _| | |_ / _ \ _ __| _ |_)__ _| _ )_ _ ___| |_| |_  ___ _ _
  3. |_  .  _| (_) | '_ \ _ \ / _` | _ \ '_/ _ \  _| ' \/ -_) '_|
  4. |_     _|\___/| .__/___/_\__, |___/_| \___/\__|_||_\___|_|  
  5.   |_|_|       |_|        |___/                              
  6.  
  7.  
  8. Today, as #IDP13, we'll support offline actions and leak some informations about website which are supposed to work on security and protection.
  9.  
  10. What is surprising : how can they protect people if their db belong to us ?? Good question, isn't it ?
  11.  
  12. Now let see :
  13. http://www.khiansapolice.com - KhiansapoliceStation
  14.  
  15. ---
  16. available databases [2]:
  17. [*] information_schema
  18. [*] khiansa
  19.  
  20. ---
  21. Database: khiansa
  22. Table: files
  23. [4 columns]
  24. +-----------+--------------+
  25. | Column    | Type         |
  26. +-----------+--------------+
  27. | adress    | varchar(200) |
  28. | FilesID   | int(4)       |
  29. | FilesName | varchar(100) |
  30. | name      | varchar(200) |
  31. +-----------+--------------+
  32.  
  33. Database: khiansa
  34. Table: counter_values
  35. [12 columns]
  36. +--------------+------------+
  37. | Column       | Type       |
  38. +--------------+------------+
  39. | all_value    | bigint(11) |
  40. | day_id       | bigint(11) |
  41. | day_value    | bigint(11) |
  42. | id           | bigint(11) |
  43. | month_id     | bigint(11) |
  44. | month_value  | bigint(11) |
  45. | record_date  | datetime   |
  46. | record_value | bigint(11) |
  47. | week_id      | bigint(11) |
  48. | week_value   | bigint(11) |
  49. | year_id      | bigint(11) |
  50. | year_value   | bigint(11) |
  51. +--------------+------------+
  52.  
  53. Database: khiansa
  54. Table: comment_news
  55. [5 columns]
  56. +---------+-------------+
  57. | Column  | Type        |
  58. +---------+-------------+
  59. | date    | datetime    |
  60. | id      | int(11)     |
  61. | ip      | varchar(20) |
  62. | message | text        |
  63. | name    | varchar(20) |
  64. +---------+-------------+
  65.  
  66. Database: khiansa
  67. Table: rongtook
  68. [8 columns]
  69. +---------+--------------+
  70. | Column  | Type         |
  71. +---------+--------------+
  72. | date    | datetime     |
  73. | email   | varchar(50)  |
  74. | id      | int(11)      |
  75. | ip      | varchar(20)  |
  76. | message | text         |
  77. | name    | varchar(20)  |
  78. | topic   | varchar(100) |
  79. | url     | varchar(100) |
  80. +---------+--------------+
  81.  
  82. Database: khiansa
  83. Table: dabbo_ans
  84. [12 columns]
  85. +------------+-------------+
  86. | Column     | Type        |
  87. +------------+-------------+
  88. | Date       | datetime    |
  89. | Email      | varchar(50) |
  90. | IP         | varchar(15) |
  91. | Member     | tinyint(1)  |
  92. | Msg        | text        |
  93. | Name       | varchar(50) |
  94. | Namer      | varchar(50) |
  95. | No         | int(5)      |
  96. | No_com     | int(5)      |
  97. | nphoto     | varchar(50) |
  98. | QuestionNo | int(5)      |
  99. | resolution | varchar(5)  |
  100. +------------+-------------+
  101.  
  102. Database: khiansa
  103. Table: comment_board
  104. [7 columns]
  105. +---------+--------------+
  106. | Column  | Type         |
  107. +---------+--------------+
  108. | date    | datetime     |
  109. | email   | varchar(50)  |
  110. | id      | int(11)      |
  111. | ip      | varchar(20)  |
  112. | message | text         |
  113. | name    | varchar(20)  |
  114. | url     | varchar(100) |
  115. +---------+--------------+
  116.  
  117. Database: khiansa
  118. Table: albums_img1
  119. [4 columns]
  120. +-----------+--------------+
  121. | Column    | Type         |
  122. +-----------+--------------+
  123. | date      | datetime     |
  124. | FilesName | varchar(30)  |
  125. | id        | int(11)      |
  126. | name      | varchar(100) |
  127. +-----------+--------------+
  128.  
  129. Database: khiansa
  130. Table: girl
  131. [44 columns]
  132. +-------------------+--------------+
  133. | Column            | Type         |
  134. +-------------------+--------------+
  135. | boy               | int(5)       |
  136. | career            | varchar(50)  |
  137. | career_another    | varchar(50)  |
  138. | dd                | int(10)      |
  139. | education         | varchar(50)  |
  140. | female            | int(5)       |
  141. | home_no           | varchar(50)  |
  142. | id                | varchar(10)  |
  143. | id1               | int(11)      |
  144. | involvement1      | varchar(100) |
  145. | involvement2      | varchar(100) |
  146. | involvement3      | varchar(100) |
  147. | involvement4      | varchar(100) |
  148. | mail              | varchar(50)  |
  149. | mm                | varchar(50)  |
  150. | mobile            | varchar(15)  |
  151. | mooban            | varchar(100) |
  152. | mootee            | int(10)      |
  153. | name              | varchar(100) |
  154. | offspring         | int(5)       |
  155. | postcode          | int(11)      |
  156. | province          | varchar(50)  |
  157. | requirement1      | varchar(100) |
  158. | requirement2      | varchar(100) |
  159. | requirement3      | varchar(100) |
  160. | requirement3_1    | varchar(100) |
  161. | requirement4      | varchar(100) |
  162. | requirement4_1    | varchar(100) |
  163. | requirement5      | varchar(100) |
  164. | requirement5_1    | varchar(100) |
  165. | revenue           | varchar(50)  |
  166. | road              | varchar(100) |
  167. | soi               | varchar(100) |
  168. | status            | varchar(100) |
  169. | status_member     | varchar(50)  |
  170. | status_member_yes | varchar(100) |
  171. | surname           | varchar(100) |
  172. | tel_home          | varchar(15)  |
  173. | tel_work          | varchar(15)  |
  174. | titlename         | varchar(50)  |
  175. | tombon            | varchar(100) |
  176. | umper             | varchar(50)  |
  177. | Username          | varchar(100) |
  178. | yy                | int(10)      |
  179. +-------------------+--------------+
  180.  
  181. Database: khiansa
  182. Table: dabbo_useronline
  183. [3 columns]
  184. +-----------+--------------+
  185. | Column    | Type         |
  186. +-----------+--------------+
  187. | FILE      | varchar(100) |
  188. | ip        | varchar(40)  |
  189. | timestamp | int(15)      |
  190. +-----------+--------------+
  191.  
  192. Database: khiansa
  193. Table: cat_girl
  194. [3 columns]
  195. +----------+-------------+
  196. | Column   | Type        |
  197. +----------+-------------+
  198. | cat_girl | text        |
  199. | id       | int(11)     |
  200. | name     | varchar(20) |
  201. +----------+-------------+
  202.  
  203. Database: khiansa
  204. Table: jabo_ans
  205. [12 columns]
  206. +------------+-------------+
  207. | Column     | Type        |
  208. +------------+-------------+
  209. | Date       | datetime    |
  210. | Email      | varchar(50) |
  211. | IP         | varchar(15) |
  212. | Member     | tinyint(1)  |
  213. | Msg        | text        |
  214. | Name       | varchar(50) |
  215. | Namer      | varchar(50) |
  216. | No         | int(5)      |
  217. | No_com     | int(5)      |
  218. | nphoto     | varchar(50) |
  219. | QuestionNo | int(5)      |
  220. | resolution | varchar(5)  |
  221. +------------+-------------+
  222.  
  223. Database: khiansa
  224. Table: jabo_member
  225. [19 columns]
  226. +----------+--------------+
  227. | Column   | Type         |
  228. +----------+--------------+
  229. | comments | varchar(150) |
  230. | Date     | datetime     |
  231. | dd       | varchar(5)   |
  232. | Email    | varchar(30)  |
  233. | icons    | varchar(30)  |
  234. | ICQ      | varchar(15)  |
  235. | id       | int(6)       |
  236. | IP       | varchar(16)  |
  237. | m_post   | int(5)       |
  238. | m_reply  | int(5)       |
  239. | mphoto   | varchar(50)  |
  240. | msn      | varchar(50)  |
  241. | Password | varchar(10)  |
  242. | Profile  | text         |
  243. | sex      | char(1)      |
  244. | status   | char(1)      |
  245. | URL      | varchar(80)  |
  246. | User     | varchar(20)  |
  247. | WebName  | varchar(80)  |
  248. +----------+--------------+
  249.  
  250. Database: khiansa
  251. Table: dabbo_data
  252. [37 columns]
  253. +------------+--------------+
  254. | Column     | Type         |
  255. +------------+--------------+
  256. | Category   | varchar(50)  |
  257. | Date       | datetime     |
  258. | Email      | varchar(50)  |
  259. | IP         | varchar(15)  |
  260. | kh1        | varchar(255) |
  261. | kh10       | varchar(100) |
  262. | kh11       | varchar(100) |
  263. | kh12       | varchar(255) |
  264. | kh13       | varchar(100) |
  265. | kh14       | text         |
  266. | kh15       | text         |
  267. | kh16       | text         |
  268. | kh2        | varchar(100) |
  269. | kh3        | varchar(200) |
  270. | kh4        | varchar(100) |
  271. | kh5        | varchar(100) |
  272. | kh6        | varchar(100) |
  273. | kh7        | varchar(255) |
  274. | kh8        | varchar(200) |
  275. | kh9        | varchar(100) |
  276. | khp        | varchar(100) |
  277. | Member     | tinyint(1)   |
  278. | Memberr    | varchar(50)  |
  279. | Name       | varchar(50)  |
  280. | Namer      | varchar(50)  |
  281. | nfam       | varchar(20)  |
  282. | No         | int(5)       |
  283. | Note       | text         |
  284. | npage      | varchar(100) |
  285. | nphoto     | varchar(50)  |
  286. | pageview   | int(5)       |
  287. | pst        | char(1)      |
  288. | Question   | varchar(100) |
  289. | Reply      | int(5)       |
  290. | ReplyDate  | varchar(20)  |
  291. | resolution | varchar(5)   |
  292. | tumbon     | varchar(100) |
  293. +------------+--------------+
  294.  
  295. Database: khiansa
  296. Table: warants
  297. [24 columns]
  298. +------------+--------------+
  299. | Column     | Type         |
  300. +------------+--------------+
  301. | arrest     | varchar(10)  |
  302. | arrest_day | varchar(12)  |
  303. | id         | int(100)     |
  304. | id1        | int(11)      |
  305. | idp        | varchar(100) |
  306. | na1        | varchar(100) |
  307. | na10       | varchar(100) |
  308. | na11       | varchar(100) |
  309. | na12       | varchar(100) |
  310. | na13       | varchar(100) |
  311. | na14       | varchar(100) |
  312. | na15       | varchar(100) |
  313. | na16       | varchar(100) |
  314. | na17       | varchar(100) |
  315. | na19       | varchar(100) |
  316. | na2        | varchar(100) |
  317. | na3        | varchar(150) |
  318. | na4        | varchar(100) |
  319. | na5        | varchar(100) |
  320. | na6        | varchar(100) |
  321. | na7        | varchar(100) |
  322. | na8        | varchar(100) |
  323. | na9        | varchar(100) |
  324. | y1         | varchar(100) |
  325. +------------+--------------+
  326.  
  327. Database: khiansa
  328. Table: counter_ips
  329. [2 columns]
  330. +--------+-------------+
  331. | Column | Type        |
  332. +--------+-------------+
  333. | ip     | varchar(15) |
  334. | visit  | datetime    |
  335. +--------+-------------+
  336.  
  337. Database: khiansa
  338. Table: albums_img
  339. [6 columns]
  340. +------------+--------------+
  341. | Column     | Type         |
  342. +------------+--------------+
  343. | date       | datetime     |
  344. | id         | int(11)      |
  345. | ip         | varchar(20)  |
  346. | long_topic | text         |
  347. | name       | varchar(20)  |
  348. | topic      | varchar(100) |
  349. +------------+--------------+
  350.  
  351. Database: khiansa
  352. Table: jabo_category
  353. [5 columns]
  354. +------------+--------------+
  355. | Column     | Type         |
  356. +------------+--------------+
  357. | cat_detail | varchar(50)  |
  358. | cat_logo   | varchar(150) |
  359. | cat_name   | varchar(15)  |
  360. | cat_title  | varchar(150) |
  361. | id         | int(3)       |
  362. +------------+--------------+
  363.  
  364. Database: khiansa
  365. Table: dabbo_member
  366. [19 columns]
  367. +----------+--------------+
  368. | Column   | Type         |
  369. +----------+--------------+
  370. | comments | varchar(150) |
  371. | Date     | datetime     |
  372. | dd       | varchar(5)   |
  373. | Email    | varchar(30)  |
  374. | icons    | varchar(30)  |
  375. | ICQ      | varchar(15)  |
  376. | id       | int(6)       |
  377. | IP       | varchar(16)  |
  378. | m_post   | int(5)       |
  379. | m_reply  | int(5)       |
  380. | mphoto   | varchar(50)  |
  381. | msn      | varchar(50)  |
  382. | Password | varchar(10)  |
  383. | Profile  | text         |
  384. | sex      | char(1)      |
  385. | status   | char(1)      |
  386. | URL      | varchar(80)  |
  387. | User     | varchar(20)  |
  388. | WebName  | varchar(80)  |
  389. +----------+--------------+
  390.  
  391. Database: khiansa
  392. Table: comment_board2
  393. [7 columns]
  394. +---------+--------------+
  395. | Column  | Type         |
  396. +---------+--------------+
  397. | date    | datetime     |
  398. | email   | varchar(50)  |
  399. | id      | int(11)      |
  400. | ip      | varchar(20)  |
  401. | message | text         |
  402. | name    | varchar(20)  |
  403. | url     | varchar(100) |
  404. +---------+--------------+
  405.  
  406. Database: khiansa
  407. Table: wented1
  408. [22 columns]
  409. +--------+--------------+
  410. | Column | Type         |
  411. +--------+--------------+
  412. | id     | int(100)     |
  413. | id1    | int(11)      |
  414. | idp    | varchar(100) |
  415. | na1    | varchar(100) |
  416. | na10   | varchar(100) |
  417. | na11   | varchar(100) |
  418. | na12   | varchar(100) |
  419. | na13   | varchar(100) |
  420. | na14   | varchar(100) |
  421. | na15   | varchar(100) |
  422. | na16   | varchar(100) |
  423. | na17   | varchar(100) |
  424. | na19   | varchar(100) |
  425. | na2    | varchar(100) |
  426. | na3    | varchar(150) |
  427. | na4    | varchar(100) |
  428. | na5    | varchar(100) |
  429. | na6    | varchar(100) |
  430. | na7    | varchar(100) |
  431. | na8    | varchar(100) |
  432. | na9    | varchar(100) |
  433. | y1     | varchar(100) |
  434. +--------+--------------+
  435.  
  436. Database: khiansa
  437. Table: cat_wented
  438. [3 columns]
  439. +----------------+-------------+
  440. | Column         | Type        |
  441. +----------------+-------------+
  442. | cat_wentedthai | text        |
  443. | id             | int(11)     |
  444. | name           | varchar(20) |
  445. +----------------+-------------+
  446.  
  447. Database: khiansa
  448. Table: customer
  449. [6 columns]
  450. +-------------+-------------+
  451. | Column      | Type        |
  452. +-------------+-------------+
  453. | Budget      | double      |
  454. | CountryCode | varchar(2)  |
  455. | CustomerID  | varchar(4)  |
  456. | Email       | varchar(50) |
  457. | Name        | varchar(50) |
  458. | Used        | double      |
  459. +-------------+-------------+
  460.  
  461. Database: khiansa
  462. Table: topic_news
  463. [7 columns]
  464. +------------+--------------+
  465. | Column     | Type         |
  466. +------------+--------------+
  467. | date       | datetime     |
  468. | id         | int(11)      |
  469. | ip         | varchar(20)  |
  470. | long_topic | text         |
  471. | message    | text         |
  472. | name       | varchar(20)  |
  473. | topic      | varchar(100) |
  474. +------------+--------------+
  475.  
  476. Database: khiansa
  477. Table: testboard
  478. [8 columns]
  479. +---------+--------------+
  480. | Column  | Type         |
  481. +---------+--------------+
  482. | date    | datetime     |
  483. | email   | varchar(50)  |
  484. | id      | int(11)      |
  485. | ip      | varchar(20)  |
  486. | message | text         |
  487. | name    | varchar(20)  |
  488. | topic   | varchar(100) |
  489. | url     | varchar(100) |
  490. +---------+--------------+
  491.  
  492. Database: khiansa
  493. Table: topic_board1
  494. [8 columns]
  495. +---------+--------------+
  496. | Column  | Type         |
  497. +---------+--------------+
  498. | date    | datetime     |
  499. | email   | varchar(50)  |
  500. | id      | int(11)      |
  501. | ip      | varchar(20)  |
  502. | message | text         |
  503. | name    | varchar(20)  |
  504. | topic   | varchar(100) |
  505. | url     | varchar(100) |
  506. +---------+--------------+
  507.  
  508. Database: khiansa
  509. Table: jabo_useronline
  510. [3 columns]
  511. +-----------+--------------+
  512. | Column    | Type         |
  513. +-----------+--------------+
  514. | FILE      | varchar(100) |
  515. | ip        | varchar(40)  |
  516. | timestamp | int(15)      |
  517. +-----------+--------------+
  518.  
  519. Database: khiansa
  520. Table: topic_board
  521. [8 columns]
  522. +---------+--------------+
  523. | Column  | Type         |
  524. +---------+--------------+
  525. | date    | datetime     |
  526. | email   | varchar(50)  |
  527. | id      | int(11)      |
  528. | ip      | varchar(20)  |
  529. | message | text         |
  530. | name    | varchar(20)  |
  531. | topic   | varchar(100) |
  532. | url     | varchar(100) |
  533. +---------+--------------+
  534.  
  535. Database: khiansa
  536. Table: gbook
  537. [8 columns]
  538. +---------+--------------+
  539. | Column  | Type         |
  540. +---------+--------------+
  541. | date    | datetime     |
  542. | email   | varchar(50)  |
  543. | id      | int(11)      |
  544. | ip      | varchar(20)  |
  545. | message | text         |
  546. | name    | varchar(20)  |
  547. | topic   | varchar(100) |
  548. | url     | varchar(100) |
  549. +---------+--------------+
  550.  
  551. Database: khiansa
  552. Table: audit
  553. [4 columns]
  554. +------------+------------+
  555. | Column     | Type       |
  556. +------------+------------+
  557. | AuditID    | int(4)     |
  558. | CustomerID | varchar(4) |
  559. | Date       | date       |
  560. | Used       | double     |
  561. +------------+------------+
  562.  
  563. Database: khiansa
  564. Table: dabbo_category
  565. [5 columns]
  566. +------------+--------------+
  567. | Column     | Type         |
  568. +------------+--------------+
  569. | cat_detail | varchar(50)  |
  570. | cat_logo   | varchar(150) |
  571. | cat_name   | varchar(15)  |
  572. | cat_title  | varchar(150) |
  573. | id         | int(3)       |
  574. +------------+--------------+
  575.  
  576. Database: khiansa
  577. Table: jabo_data
  578. [37 columns]
  579. +------------+--------------+
  580. | Column     | Type         |
  581. +------------+--------------+
  582. | Category   | varchar(50)  |
  583. | Date       | datetime     |
  584. | Email      | varchar(50)  |
  585. | IP         | varchar(15)  |
  586. | kh1        | varchar(255) |
  587. | kh10       | varchar(100) |
  588. | kh11       | varchar(100) |
  589. | kh12       | varchar(255) |
  590. | kh13       | varchar(100) |
  591. | kh14       | text         |
  592. | kh15       | text         |
  593. | kh16       | text         |
  594. | kh2        | varchar(100) |
  595. | kh3        | varchar(200) |
  596. | kh4        | varchar(100) |
  597. | kh5        | varchar(100) |
  598. | kh6        | varchar(100) |
  599. | kh7        | varchar(255) |
  600. | kh8        | varchar(200) |
  601. | kh9        | varchar(100) |
  602. | khp        | varchar(100) |
  603. | Member     | tinyint(1)   |
  604. | Memberr    | varchar(50)  |
  605. | Name       | varchar(50)  |
  606. | Namer      | varchar(50)  |
  607. | nfam       | varchar(20)  |
  608. | No         | int(5)       |
  609. | Note       | text         |
  610. | npage      | varchar(100) |
  611. | nphoto     | varchar(50)  |
  612. | pageview   | int(5)       |
  613. | pst        | char(1)      |
  614. | Question   | varchar(100) |
  615. | Reply      | int(5)       |
  616. | ReplyDate  | varchar(20)  |
  617. | resolution | varchar(5)   |
  618. | tumbon     | varchar(100) |
  619. +------------+--------------+
  620.  
  621. Database: khiansa
  622. Table: country
  623. [2 columns]
  624. +-------------+-------------+
  625. | Column      | Type        |
  626. +-------------+-------------+
  627. | CountryCode | varchar(2)  |
  628. | CountryName | varchar(30) |
  629. +-------------+-------------+
  630.  
  631. Database: khiansa
  632. Table: girl1
  633. [44 columns]
  634. +-------------------+--------------+
  635. | Column            | Type         |
  636. +-------------------+--------------+
  637. | boy               | int(5)       |
  638. | career            | varchar(50)  |
  639. | career_another    | varchar(50)  |
  640. | dd                | int(10)      |
  641. | education         | varchar(50)  |
  642. | female            | int(5)       |
  643. | home_no           | varchar(50)  |
  644. | id                | varchar(10)  |
  645. | id1               | int(11)      |
  646. | involvement1      | varchar(100) |
  647. | involvement2      | varchar(100) |
  648. | involvement3      | varchar(100) |
  649. | involvement4      | varchar(100) |
  650. | mail              | varchar(50)  |
  651. | mm                | varchar(50)  |
  652. | mobile            | varchar(15)  |
  653. | mooban            | varchar(100) |
  654. | mootee            | int(10)      |
  655. | name              | varchar(100) |
  656. | offspring         | int(5)       |
  657. | postcode          | int(11)      |
  658. | province          | varchar(50)  |
  659. | requirement1      | varchar(100) |
  660. | requirement2      | varchar(100) |
  661. | requirement3      | varchar(100) |
  662. | requirement3_1    | varchar(100) |
  663. | requirement4      | varchar(100) |
  664. | requirement4_1    | varchar(100) |
  665. | requirement5      | varchar(100) |
  666. | requirement5_1    | varchar(100) |
  667. | revenue           | varchar(50)  |
  668. | road              | varchar(100) |
  669. | soi               | varchar(100) |
  670. | status            | varchar(100) |
  671. | status_member     | varchar(50)  |
  672. | status_member_yes | varchar(100) |
  673. | surname           | varchar(100) |
  674. | tel_home          | varchar(15)  |
  675. | tel_work          | varchar(15)  |
  676. | titlename         | varchar(50)  |
  677. | tombon            | varchar(100) |
  678. | umper             | varchar(50)  |
  679. | Username          | varchar(100) |
  680. | yy                | int(10)      |
  681. +-------------------+--------------+
  682.  
  683. Database: khiansa
  684. Table: files_albums_show
  685. [4 columns]
  686. +-----------+--------------+
  687. | Column    | Type         |
  688. +-----------+--------------+
  689. | date      | datetime     |
  690. | FilesName | varchar(30)  |
  691. | id        | int(11)      |
  692. | name      | varchar(100) |
  693. +-----------+--------------+
  694.  
  695. Database: khiansa
  696. Table: wented
  697. [22 columns]
  698. +--------+--------------+
  699. | Column | Type         |
  700. +--------+--------------+
  701. | id     | int(100)     |
  702. | id1    | int(11)      |
  703. | idp    | varchar(100) |
  704. | na1    | varchar(100) |
  705. | na10   | varchar(100) |
  706. | na11   | varchar(100) |
  707. | na12   | varchar(100) |
  708. | na13   | varchar(100) |
  709. | na14   | varchar(100) |
  710. | na15   | varchar(100) |
  711. | na16   | varchar(100) |
  712. | na17   | varchar(100) |
  713. | na19   | varchar(100) |
  714. | na2    | varchar(100) |
  715. | na3    | varchar(150) |
  716. | na4    | varchar(100) |
  717. | na5    | varchar(100) |
  718. | na6    | varchar(100) |
  719. | na7    | varchar(100) |
  720. | na8    | varchar(100) |
  721. | na9    | varchar(100) |
  722. | y1     | varchar(100) |
  723. +--------+--------------+
  724.  
  725. ---
  726. Database: khiansa
  727. Table: dabbo_member
  728. [1 entry]
  729. +-------+-------------------+----------+
  730. | User  | Email             | Password |
  731. +-------+-------------------+----------+
  732. | supot | khiansa@yahoo.com | khiansa  |
  733. +-------+-------------------+----------+
  734.  
  735. ---
  736. Database: khiansa
  737. Table: customer
  738. [9 entries]
  739. +---------------+------------------------------+
  740. | Name          | Email                        |
  741. +---------------+------------------------------+
  742. | Win Weerachai | win.weerachai@thaicreate.com |
  743. | John  Smith   | john.smith@thaicreate.com    |
  744. | Jame Born     | jame.born@thaicreate.com     |
  745. | Chalee Angel  | chalee.angel@thaicreate.com  |
  746. | ดาบโบ้บ       | qweq                         |
  747. | <blank>       | <blank>                      |
  748. | ฟหดกดกห&      | กหฟดหฟก                      |
  749. | Sas           | ASs                          |
  750. | ?????????     | ?????????????                |
  751. +---------------+------------------------------+
  752.  
  753.  
  754. #OpBigBrother #OpLastResort #indect #OpTrapwire #OpWCIT
  755. We won't let you enslave us !
  756.  
  757. We are Anonymous
  758. We are Legion
  759. We do not forgive
  760. We do not forget
  761. Expect us !
  762.  
  763. ALL YOUR BASE BELONGS TO US...
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