The past 30 days of data collected and stored in the malc0de database shows the United States is the top offender when it comes to domains hosting malware. The first graph represents how much malware was collected each day between 01/21/2010 – 02/21/2010.  We can see a spike around Valentines days which can probably be attributed spam/malware taking advantage of the holiday. The dip on the 9th is likely related to something breaking so ignore that.

I thought it would also be interesting to create a graph based on which countries have hosted the most malware during the previous 30 days. I was a little surprised at the results seeing the United States at the top of the list with China coming in second place.

Keep in mind that this data only represents a tiny snapshot in the overall scheme of things and is specific to malware collected by malc0de.com.

Last but not least the list below represents the top ten binaries seen during the past 30 days.

Count – MD5
251 – 7981f884202bf9f50bb5cb9bf3adbeb1
200 – 105082712e5a14db357fb9432bc9ca22
198 – eeda586b324d69ebf6b537724ad122cb
178 – 1bf3bbfa188f1b8fd0ffc498be481d53
171 – eec01f6a39e56ae3efe0a9866ba09b33
125 – 9ec690317e2109169c371c81341ec3d3
82 – 4f4a22a1391fe11be2c9c9b77ded0949
75 – a1e96a96471e08dae17d0b9b6873d726
75 – a17a76e2f0f8343bbd4c49c9eaef83a3
67 – 1620ef6bb04e2ca548f3e7951f2a8a6f

The MD5′s above are all related to Trojan Koobface. If you are interested in tracking domains and IP’s contacted by or distributing Koobface click here for an updated list.

Glenn Fink, a research scientist at Pacific Northwest National Laboratory (PNNL) in Richland, Wash has come up with a new way to detect threats on your network. The method consists of an army of Digital ants that mirror the behavior of real ants in the sense that the “digital scent” left behind when a threat/evidence is found. This in turn will attract more digital ants which produces a swarm that marks a potential computer infection.

This summer a study was conducted where a worm was introduced to a network which consisted of 64 computers. The army of digital ants was able to successfully identify the infected hosts. Computer users need not worry that a swarm of digital ants will decide to take up residence in their machine by mistake. Digital ants cannot survive without software “sentinels” located at each machine, which in turn report to network “sergeants” monitored by humans, who supervise the colony and maintain ultimate control.

More on this interesting article can be found here

An interesting article on how twitter can be used as a medium to steal your identity, infect your computer or using your twitter password to gain access to other online accounts. Below is a good example on how twitter can be used to infect a large amount of people.

Malware Infection

“Imagine if instead, in the case of Britney Spears account for example, that the hacker had posted a link that said: ‘Here’s my new video. Click on this link.’ Imagine how many people would have clicked on that and it could have pointed to malware? And Barack Obama is one of the most followed people on Twitter. If he said: ‘I’ve just made a new speech. Check it out.’ a lot of people would click on that link and get infected.”

Read About the other 2 ways

A new version of Jsunpack-n was posted recently and i have finally got around to installing it. There are some very cool new features such as

1) improved URL tracking using ‘urlattr’ class and urls dictionary
1a) new command line option -g, to create a URL graph (only when pcap contains 10 or fewer URL requests)

2) bug fixes for stream reassembly and pdf parsing
2a) stream reassembly now handles all streams when processing a pcap file, regardless of whether the nids state is in end_states
4) detection of NOP sled shellcode and performance improvements in shellcode processing (this was one of the performance bottlenecks)
5) new output format with ./files/ directory or -d OUTDIR command line option
6) CVE references are available in the ‘rules’ file but are temporarily unavailable in alerts

One of the major differences is this release is dependent on Yara.. Before you attempt to install Yara make sure you install PCRE by running the following command

apt-get install libpcre3 libpcre3-dev

Now download the following files

1) http://yara-project.googlecode.com/files/yara-1.2.1.tar.gz
2) http://yara-project.googlecode.com/files/yara-python-1.2.1.tar.gz

For yara-python-1.2.1.tar.gz you can build by running the following commands

$ tar xzvf yara-python-1.2.0.tar.gz
$ cd yara-python-1.2.0
$ python setup.py build
$ sudo python setup.py install

And then for yara-1.2.1.tar.gz simply run

$ tar xzvf yara-1.2.1.tar.gz
$ cd yara-1.2.1
$ sudo ./configure; make; make install

Next run the following commands

$ sudo echo “/usr/local/lib” >> /etc/ld.so.conf
$ sudo ldconfig

I then ran jsunpack-n against one the sample .pcap files with the new -g option to generate an image file however immediately received the following error

sudo ./jsunpack-n.py sample-http-exploit.pcap -g url
Traceback (most recent call last):
File “./jsunpack-n.py”, line 1030, in
main()
File “./jsunpack-n.py”, line 1026, in main
graph(file, js.urls, options.graphfile)
File “./jsunpack-n.py”, line 924, in graph
import yapgvb
ImportError: No module named yapgvb

The error is from a missing python module which can easily be installed by running the following command.

apt-get install python-yapgvb

Now that everything is working I scraped MalwareURL.com for the most recently IPs/Domains associated with Exploits by using the following command.

links2 -dump http://www.malwareurl.com/search.php?domain=\&s=exploits\&match=0\&rp=100\&urls=on\&redirs=on\&ip=on\&reverse=on\&as=on | awk ‘{print $1}’ | sed ‘s/|//’ | egrep “[A-Za-z0-9\/]” | awk ‘{print “http://”$1}’ >> t3stURLS.txt

The result of the command stores a list of URLs into a file called t3stURLS.txt while running jsunpack-n in the background we can use wget to loop through the file t3stURLS.txt and download the content to see what gets picked up and decoded.

wget -i t3stURLS.txt -T 1 -t 3

Below is a small sample of the Jsunpack Output that was generated.

*Caution Malicious URLS*

[suspicious:5] 55x5h.2288.org/fkzd/2.htm
[impact=5] DecodedIframe  detected <iframe
[info] [iframe http] http://wm.7udij.cn/x87/xx.html
[info] [script http] http://js.tongji.linezing.com/1240663/tongji.js
[suspicious:5] wm.7udij.cn/x87/xx.html
[impact=5] DecodedIframe  detected <iframe
[info] [iframe .] wm.7udij.cn/x87/Td14.htm
[info] [iframe .] wm.7udij.cn/x87/yt.htm
[info] [iframe .] wm.7udij.cn/x87/td09.htm
[info] [iframe .] wm.7udij.cn/x87/yut.htm
[suspicious:5] 44x5h.2288.org/fkzd/2.htm
[impact=5] DecodedIframe  detected <iframe
[info] [iframe http] http://wm.7udij.cn/x87/xx.html
[info] [script http] http://js.tongji.linezing.com/1240663/tongji.js
[suspicious:5] wm.6bief.cn/x3/xx.html
[impact=5] DecodedIframe  detected <iframe
[info] [iframe .] wm.6bief.cn/x3/Td14.htm
[info] [iframe .] wm.6bief.cn/x3/yt.htm
[info] [iframe .] wm.6bief.cn/x3/td09.htm
[info] [iframe .] wm.6bief.cn/x3/yut.htm

As you can see from the output above jsunpack-n was able to decode the obfuscated JavaScript and output the Iframes that were buried within. Because I am using Wget the Iframes are not followed so this test only touches on some of the functionality jsunpack-n provides. Originally I believe jsunpack-n was developed to act as an IDS application however it can also be used for research purposes.

The New file directory now organizes the decodings by MD5 and also saves the executables.
decoding_048c802efcc40b164a42cf29c95ad9e13cf28995
decoding_742d479309d69fd4bc7353647cc66f5cc9418bf9
decoding_d6641a882f77807034ff0a1f5530b1b781ee1019
original_86c2d76a7ba524487ab518c7fae29dcc60c6fc54
decoding_17278448f71fbb774fd420d6bb6dc9f1bf1d8689
decoding_75d715bee572a79d9fba6bae2fff79cf2cb1620d
decoding_f867d1bc0da9a69c286131639f474a5c2521f46d

This tool has come along way and has become one of my favorite. Many thanks to the author for sharing with everyone in the community.

Vulnerability summary

The vulnerability is a stack overflow in the FTP service when listing a long, specially-crafted directory name. To be vulnerable, an FTP server would need to grant untrusted users access to log into and create that long, specially-drafted directory. If an attacker were able to successfully exploit this vulnerability, they could execute code in the context of LocalSystem, the service under which the FTP service runs.

Configurations at risk

The vulnerable code is in IIS 5.0 (Windows 2000), IIS 5.1 (Windows XP) and IIS 6.0 (Windows Server 2003). IIS 7.0 (Windows Vista, Windows Server 2008) is not vulnerable. IIS 6 is at reduced risk because it was built with /GS which help protect the service from exploits by deliberately terminating itself when the overflow is detected before attacker’s code runs. We have not seen exploit code for this vulnerability that is able to bypass the /GS protection.

Also, remember that only servers that allow untrusted users to log on and create arbitrary directories are vulnerable.
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