Verifying Filesystem Integrity with CVS
Now let's put the collector.pl and cvschecker.pl scripts into action with a couple of intrusion examples. Assume the target system is a Red Hat 6.2 machine; HIBDS data has been collected from this machine before any external network connection was established, and the target has an IP address of 192.168.10.5.
Suppose machine 192.168.10.5 is cracked, and the following command is executed as root:
# cp /bin/sh /dev/... && chmod 4755 /dev/...
This will copy the /bin/sh shell to the /dev/ directory as the file “...” and will set the uid bit. Because the file is owned by root, and we made it executable by any user on the system, the attacker only needs to know the path /dev/... to execute any command as root. Obviously, we would like to know if something like this has happened on the 192.168.10.5 system. Now, on the collector box, we execute cvschecker.pl, and the following e-mail is sent to root@localhost, which clearly shows /dev/... as a new suid file:
From: hbids@localhost Subject: Changed file on 192.168.10.5: suidfiles To: root@localhost Date: Sat, 10 Nov 2001 17:35:13 -0500 (EST) Index: /home/mbr/192.168.10.5/suidfiles ======================================================= RCS file: /usr/local/hbids_cvs/192.168.10.5/suidfiles,v retrieving revision 1.3 retrieving revision 1.4 diff -r1.3 -r1.4 4a5 > -rwsr-xr-x 1 root root 512668 Nov 10 18:40 /dev/...
Now suppose an attacker is able to execute the following two commands as root:
# echo "eviluser:x:0:0::/:/bin/bash" >> /etc/passwd # echo "eviluser::11636:0:99999:7:::" >> /etc/shadow
Note that the uid and gid for eviluser are set to 0 and 0 in the /etc/passwd entry, and also that there is no encrypted password string in the /etc/shadow entry. Hence, any user on the system could become root without supplying a password simply by typing su - eviluser. As in the previous example, after running cvschecker.pl, we receive the following e-mails in root's mailbox:
From: hbids@localhost Subject: Changed file on 192.168.10.5: /etc/passwd Delivered-To: root@localhost Date: Sat, 10 Nov 2001 17:43:17 -0500 (EST) Index: /home/mbr/192.168.10.5/etc/passwd ======================================================= RCS file: /usr/local/hbids_cvs/192.168.10.5/etc/passwd,v retrieving revision 1.2 retrieving revision 1.3 diff -r1.2 -r1.3 26a27 > eviluser:x:0:0::/:/bin/bashand
From: hbids@localhost Subject: Changed file on 192.168.10.5: /etc/shadow Delivered-To: root@localhost Date: Sat, 10 Nov 2001 17:43:18 -0500 (EST) Index: /home/mbr/192.168.10.5/etc/shadow ======================================================= RCS file: /usr/local/hbids_cvs/192.168.10.5/etc/shadow,v retrieving revision 1.2 retrieving revision 1.3 diff -r1.2 -r1.3 26a27 > eviluser::11636:0:99999:7:::
Finding changes in the filesystem can be an effective method for detecting intruders. In this article we have illustrated some simple Perl code that bends CVS into a homegrown, host-based intrusion-detection system. At my current place of employment, USinternetworking, Inc., a large ASP in Annapolis, Maryland, we use a similar (although greatly expanded) custom system called USiOasis to help verify filesystem integrity across several hundred machines in our network infrastructure. The machines are loaded with various operating systems that include Linux, HPUX, Solaris and Windows, and run many different types of server applications. The system includes a MySQL database back end, a rather large CVS repository and a custom web/CGI front end written mostly in Perl. Making use of a CVS repository to perform difference tracking also comes with an important additional benefit: an excellent visualization tool written in Python called ViewCVS. Storing operating system and application configuration files within CVS also aids several areas outside of detecting intrusions, such as troubleshooting network and application-level outages, disaster recovery and tracking system configurations over time.
- Machine Learning Everywhere
- Bash Shell Script: Building a Better March Madness Bracket
- Smoothwall Express
- Own Your DNS Data
- Simple Server Hardening
- From vs. to + for Microsoft and Linux
- Understanding OpenStack's Success
- The Weather Outside Is Frightful (Or Is It?)
- Understanding Firewalld in Multi-Zone Configurations
- Ensono M.O.
Pick up any e-commerce web or mobile app today, and you’ll be holding a mashup of interconnected applications and services from a variety of different providers. For instance, when you connect to Amazon’s e-commerce app, cookies, tags and pixels that are monitored by solutions like Exact Target, BazaarVoice, Bing, Shopzilla, Liveramp and Google Tag Manager track every action you take. You’re presented with special offers and coupons based on your viewing and buying patterns. If you find something you want for your birthday, a third party manages your wish list, which you can share through multiple social- media outlets or email to a friend. When you select something to buy, you find yourself presented with similar items as kind suggestions. And when you finally check out, you’re offered the ability to pay with promo codes, gifts cards, PayPal or a variety of credit cards.Get the Guide