Tuesday, May 19, 2020

How To Pass Your Online Accounts After Death – 3 Methods

The topic of DEATH is not one that most people care to talk about, but the truth is that we are all going to die at some point and everything that we did online is going to end up in limbo if we don't make sure that someone we trust is going to be able to gain access to this information. This is going to be extremely important in order to close it down, or have your loved one do whatever you want them to do with your information. There are many things to take into consideration for this kind of situation. If you are like the average modern person, you probably have at least one email account, a couple of social media accounts in places like Facebook and Twitter. Perhaps you also have a website that you run or a blog. These are all very common things that people will usually do at some point and if you have anything that you consider valuable, you should have a way to leave it in the hands of someone you trust when you pass away.

Pass Accounts and Passwords After Death
Pass Accounts and Passwords After Death

Maybe you have an online platform that has a lot of content that you find useful and important. Perhaps you have even been able to turn some of that content into monetizable material and you don't want this to end when you pass away. This is more than enough of a reason to make sure that your information can be given to someone when you are no longer around.
There have been many cases when all the information has ended up being impossible to recover when a person has died, at least not without the need for the family members to do all kinds of things in order to prove a person is deceased. So here are some ways, you can passyour online accounts/data after death:

1) Making a Safe 'WILL' (or Locker) containing master password.

  1. Make an inventory of all your online accounts and list them on a piece of paper one by one and give it to your loved one. For eg:– Your primary email address
    – Your Facebook ID/email
    – The Bank account or Internet banking ID
    – etc. To clarify, it will be only a list of the accounts you want your loved one to be able to access after you're dead. Just the list of accounts, nothing else (no passwords).
  2. Set up a brand new e-mail address (Possibly Gmail account). Lets say youraccountsinfo@gmail.com
  3. Now from your usual email account, Send an e-mail to youraccountsinfo@gmail.com, with the following content:– dd349r4yt9dfj
    – sd456pu3t9p4
    – s2398sds4938523540
    – djfsf4p These are, of course, the passwords and account numbers that you want your loved one to have once you're dead.
  4. Tell your loved one that you did these things, and while you're at it, send him/her an e-mail from youraccountsinfo@gmail.com, so he/she will have the address handy in some special folder in his/her inbox.
  5. Put the password for youraccountsinfo@gmail.com in your will or write it down on paper and keep it safe in your bank locker. Don't include the e-mail address as well, just put something like "The password is: loveyourhoney432d".
And its done! Your loved one will only have the password once you're dead, and the info is also secure, since it's split in two places that cannot be easily connected, so if the e-mail address happens to be hacked, the perpetrator won't be able to use it to steal anything that you're going to leave for your loved one.

2) Preparing a Future email (SWITCH) containing login information

This method is very similar to the first one except in this case we will not be using a WILL or Locker. Instead we will be using a Service called "Dead Mans Switch" that creates a switch (Future email) and sends it to your recipients after a particular time interval. Here is how it works.
  1. Create a list of accounts as discussed in the first method and give it to your loved one.
  2. Register on "Dead mans switch" and create a switch containing all the corresponding passwords and enter the recipients email (Your loved one).
  3. Your switch will email you every so often, asking you to show that you are fine by clicking a link. If something happens to you, your switch would then send the email you wrote to the recipient you specified. Sort of an "electronic will", one could say.

3) Using password managers that have emergency access feature

Password managers like LastPass and Dashlane have a feature called as "emergency access".  It functions as a dead man's switch. You just have to add your loved one to your password manager, with emergency access rights. he/She does not see any of your information, nor can he/she log into your accounts normally.
But if the worst happens, your loved one can invoke the emergency access option. Next your password manager sends an email to you and starts a timer. If, after a certain amount of time interval, you have not refused the request, then your loved one gets full access to your password manager.
You can always decide what they can potentially gain access to, and you set the time delay.

Why should i bother about passing my digital legacy?

Of all the major online platforms, only Google and Facebook have provisions for Inactiveaccounts (in case of death). Google lets you plan for the inevitable ahead of time. Using the "Inactive Account Manager", you can designate a beneficiary who will inherit access to any or all of your Google accounts after a specified period of inactivity (the default is 3 months).
Facebook on the other hand will either delete your inactive account or turn it into a memorial page when their family can provide any proof of their death, but there is also a large number of platforms that don't have any specific way for people to be able to verify the death of a loved one in order to gain access to the accounts. In either case, you wouldn't want your family to have to suffer through any hassles and complications after you have passed away.
You should also consider the importance of being able to allow your loved ones to collect all the data you left behind. This means photos and experiences that can be used to show other generations the way that you lived and the kind of things you enjoyed doing.
Those memories are now easier to keep and the best photos can be downloaded for the purpose of printing them for photo albums or frames. Allowing them to have the chance to do this in a practical way is going to be a great gesture and securing any profitable information is going to be essential if you want a business or idea to keep moving forward with the help of those you trust.
This is the reason why you need to be able to pass your online account information after death, but no one wants to give access to this kind of information to their loved ones because it's of a private nature and we would feel uneasy knowing that others can access our private conversations or message.
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Router-Exploit-Shovel: An Automated Application Generator For Stack Overflow Types On Wireless Routers

About Router-Exploit-Shovel
   Router-Exploit-Shovel is an automated application generation for Stack Overflow types on Wireless Routers.

   Router exploits shovel is an automated application generation tool for stack overflow types on wireless routers. The tool implements the key functions of exploits, it can adapt to the length of the data padding on the stack, generate the ROP chain, generate the encoded shellcode, and finally assemble them into a complete attack code. The user only needs to attach the attack code to the overflow location of the POC to complete the Exploit of the remote code execution.

   The tool supports MIPSel and MIPSeb.Run on Ubuntu 16.04 64bit.

Router-Exploit-Shovel's Installation
   Open your Terminal and enter these commands:
Usage

   Example: python3 Router_Exploit_Shovel.py -b test_binaries/mipseb-httpd -l test_binaries/libuClibc-0.9.30.so -o 0x00478584

Router-Exploit-Shovel's screenshot

Code structure

ROP chain generation
   This tool uses pattern to generate ROP chains. Extract patterns from common ROP exploitation procedure. Use regex matching to find available gadgets to fill up chain strings. Base64 encoding is to avoid duplicate character escapes. For example:

Attackblocks
   You can get attackblocks generated in results/attackBlocks.txt. Such as:

You might like these similar tools:

Related news


Raccoon - A High Performance Offensive Security Tool For Reconnaissance And Vulnerability Scanning



Offensive Security Tool for Reconnaissance and Information Gathering.

Features
  • DNS details
  • DNS visual mapping using DNS dumpster
  • WHOIS information
  • TLS Data - supported ciphers, TLS versions, certificate details, and SANs
  • Port Scan
  • Services and scripts scan
  • URL fuzzing and dir/file detection
  • Subdomain enumeration - uses Google Dorking, DNS dumpster queries, SAN discovery, and brute-force
  • Web application data retrieval:
    • CMS detection
    • Web server info and X-Powered-By
    • robots.txt and sitemap extraction
    • Cookie inspection
    • Extracts all fuzzable URLs
    • Discovers HTML forms
    • Retrieves all Email addresses
  • Detects known WAFs
  • Supports anonymous routing through Tor/Proxies
  • Uses asyncio for improved performance
  • Saves output to files - separates targets by folders and modules by files

Roadmap and TODOs
  • Support multiple hosts (read from the file)
  • Rate limit evasion
  • OWASP vulnerabilities scan (RFI, RCE, XSS, SQLi etc.)
  • SearchSploit lookup on results
  • IP ranges support
  • CIDR notation support
  • More output formats

About
A raccoon is a tool made for reconnaissance and information gathering with an emphasis on simplicity.
It will do everything from fetching DNS records, retrieving WHOIS information, obtaining TLS data, detecting WAF presence and up to threaded dir busting and subdomain enumeration. Every scan outputs to a corresponding file.
As most of Raccoon's scans are independent and do not rely on each other's results, it utilizes Python's asyncio to run most scans asynchronously.
Raccoon supports Tor/proxy for anonymous routing. It uses default wordlists (for URL fuzzing and subdomain discovery) from the amazing SecLists repository but different lists can be passed as arguments.
For more options - see "Usage".

Installation
For the latest stable version:
pip install raccoon-scanner
Or clone the GitHub repository for the latest features and changes:
git clone https://github.com/evyatarmeged/Raccoon.git
cd Raccoon
python raccoon_src/main.py

Prerequisites
Raccoon uses Nmap to scan ports as well as utilizes some other Nmap scripts and features. It is mandatory that you have it installed before running Raccoon.
OpenSSL is also used for TLS/SSL scans and should be installed as well.

Usage
Usage: raccoon [OPTIONS]

Options:
--version Show the version and exit.
-t, --target TEXT Target to scan [required]
-d, --dns-records TEXT Comma separated DNS records to query.
Defaults to: A,MX,NS,CNAME,SOA,TXT
--tor-routing Route HTTP traffic through Tor (uses port
9050). Slows total runtime significantly
--proxy-list TEXT Path to proxy list file that would be used
for routing HTTP traffic. A proxy from the
list will be chosen at random for each
request. Slows total runtime
--proxy TEXT Proxy address to route HTTP traffic through.
Slows total runtime
-w, --wordlist TEXT Path to wordlist that would be used for URL
fuzzing
-T, --threads INTEGER Number of threads to use for URL
Fuzzing/Subdomain enumeration. Default: 25
--ignored-response-codes TEXT Comma separated list of HTTP status code to
ignore for fuzzing. Defaults to:
302,400,401,402,403,404,503,504
--subdomain-list TEXT Path to subdomain list file that would be
used for enumeration
-S, --scripts Run Nmap scan with -sC flag
-s, --services Run Nmap scan with -sV flag
-f, --full-scan Run Nmap scan with both -sV and -sC
-p, --port TEXT Use this port range for Nmap scan instead of
the default
--tls-port INTEGER Use this port for TLS queries. Default: 443
--skip-health-check Do not test for target host availability
-fr, --follow-redirects Follow redirects when fuzzing. Default: True
--no-url-fuzzing Do not fuzz URLs
--no-sub-enum Do not bruteforce subdomains
-q, --quiet Do not output to stdout
-o, --outdir TEXT Directory destination for scan output
--help Show this message and exit.

Screenshots

HTB challenge example scan:




Results folder tree after a scan:



Related links


Monday, May 18, 2020

CVE-2020-2655 JSSE Client Authentication Bypass

During our joint research on DTLS state machines, we discovered a really interesting vulnerability (CVE-2020-2655) in the recent versions of Sun JSSE (Java 11, 13). Interestingly, the vulnerability does not only affect DTLS implementations but does also affects the TLS implementation of JSSE in a similar way. The vulnerability allows an attacker to completely bypass client authentication and to authenticate as any user for which it knows the certificate WITHOUT needing to know the private key. If you just want the PoC's, feel free to skip the intro.





DTLS

I guess most readers are very familiar with the traditional TLS handshake which is used in HTTPS on the web.


DTLS is the crayon eating brother of TLS. It was designed to be very similar to TLS, but to provide the necessary changes to run TLS over UDP. DTLS currently exists in 2 versions (DTLS 1.0 and DTLS 1.2), where DTLS 1.0 roughly equals TLS 1.1 and DTLS 1.2 roughly equals TLS 1.2. DTLS 1.3 is currently in the process of being standardized. But what exactly are the differences? If a protocol uses UDP instead of TCP, it can never be sure that all messages it sent were actually received by the other party or that they arrived in the correct order. If we would just run vanilla TLS over UDP, an out of order or dropped message would break the connection (not only during the handshake). DTLS, therefore, includes additional sequence numbers that allow for the detection of out of order handshake messages or dropped packets. The sequence number is transmitted within the record header and is increased by one for each record transmitted. This is different from TLS, where the record sequence number was implicit and not transmitted with each record. The record sequence numbers are especially relevant once records are transmitted encrypted, as they are included in the additional authenticated data or HMAC computation. This allows a receiving party to verify AEAD tags and HMACs even if a packet was dropped on the transport and the counters are "out of sync".
Besides the record sequence numbers, DTLS has additional header fields in each handshake message to ensure that all the handshake messages have been received. The first handshake message a party sends has the message_seq=0 while the next handshake message a party transmits gets the message_seq=1 and so on. This allows a party to check if it has received all previous handshake messages. If, for example, a server received message_seq=2 and message_seq=4 but did not receive message_seq=3, it knows that it does not have all the required messages and is not allowed to proceed with the handshake. After a reasonable amount of time, it should instead periodically retransmit its previous flight of handshake message, to indicate to the opposing party they are still waiting for further handshake messages. This process gets even more complicated by additional fragmentation fields DTLS includes. The MTU (Maximum Transmission Unit) plays a crucial role in UDP as when you send a UDP packet which is bigger than the MTU the IP layer might have to fragment the packet into multiple packets, which will result in failed transmissions if parts of the fragment get lost in the transport. It is therefore desired to have smaller packets in a UDP based protocol. Since TLS records can get quite big (especially the certificate message as it may contain a whole certificate chain), the messages have to support fragmentation. One would assume that the record layer would be ideal for this scenario, as one could detect missing fragments by their record sequence number. The problem is that the protocol wants to support completely optional records, which do not need to be retransmitted if they are lost. This may, for example, be warning alerts or application data records. Also if one party decides to retransmit a message, it is always retransmitted with an increased record sequence number. For example, the first ClientKeyExchange message might have record sequence 2, the message gets dropped, the client decides that it is time to try again and might send it with record sequence 5. This was done as retransmissions are only part of DTLS within the handshake. After the handshake, it is up to the application to deal with dropped or reordered packets. It is therefore not possible to see just from the record sequence number if handshake fragments have been lost. DTLS, therefore, adds additional handshake message fragment information in each handshake message record which contains information about where the following bytes are supposed to be within a handshake message.


If a party has to replay messages, it might also refragment the messages into bits of different (usually smaller) sizes, as dropped packets might indicate that the packets were too big for the MTU). It might, therefore, happen that you already have received parts of the message, get a retransmission which contains some of the parts you already have, while others are completely new to you and you still do not have the complete message. The only option you then have is to retransmit your whole previous flight to indicate that you still have missing fragments. One notable special case in this retransmission fragmentation madness is the ChangecipherSpec message. In TLS, the ChangecipherSpec message is not a handshake message, but a message of the ChangeCipherSpec protocol. It, therefore, does not have a message_sequence. Only the record it is transmitted in has a record sequence number. This is important for applications that have to determine where to insert a ChangeCipherSpec message in the transcript.

As you might see, this whole record sequence, message sequence, 2nd layer of fragmentation, retransmission stuff (I didn't even mention epoch numbers) which is within DTLS, complicates the whole protocol a lot. Imagine being a developer having to implement this correctly and secure...  This also might be a reason why the scientific research community often does not treat DTLS with the same scrutiny as it does with TLS. It gets really annoying really fast...

Client Authentication

In most deployments of TLS only the server authenticates itself. It usually does this by sending an X.509 certificate to the client and then proving that it is in fact in possession of the private key for the certificate. In the case of RSA, this is done implicitly the ability to compute the shared secret (Premaster secret), in case of (EC)DHE this is done by signing the ephemeral public key of the server. The X.509 certificate is transmitted in plaintext and is not confidential. The client usually does not authenticate itself within the TLS handshake, but rather authenticates in the application layer (for example by transmitting a username and password in HTTP). However, TLS also offers the possibility for client authentication during the TLS handshake. In this case, the server sends a CertificateRequest message during its first flight. The client is then supposed to present its X.509 Certificate, followed by its ClientKeyExchange message (containing either the encrypted premaster secret or its ephemeral public key). After that, the client also has to prove to the server that it is in possession of the private key of the transmitted certificate, as the certificate is not confidential and could be copied by a malicious actor. The client does this by sending a CertificateVerify message, which contains a signature over the handshake transcript up to this point, signed with the private key which belongs to the certificate of the client. The handshake then proceeds as usual with a ChangeCipherSpec message (which tells the other party that upcoming messages will be encrypted under the negotiated keys), followed by a Finished message, which assures that the handshake has not been tampered with. The server also sends a CCS and Finished message, and after that handshake is completed and both parties can exchange application data. The same mechanism is also present in DTLS.

But what should a Client do if it does not possess a certificate? According to the RFC, the client is then supposed to send an empty certificate and skip the CertificateVerify message (as it has no key to sign anything with). It is then up to the TLS server to decide what to do with the client. Some TLS servers provide different options in regards to client authentication and differentiate between REQUIRED and WANTED (and NONE). If the server is set to REQUIRED, it will not finish the TLS handshake without client authentication. In the case of WANTED, the handshake is completed and the authentication status is then passed to the application. The application then has to decide how to proceed with this. This can be useful to present an error to a client asking him to present a certificate or insert a smart card into a reader (or the like). In the presented bugs we set the mode to REQUIRED.

State machines

As you might have noticed it is not trivial to decide when a client or server is allowed to receive or send each message. Some messages are optional, some are required, some messages are retransmitted, others are not. How an implementation reacts to which message when is encompassed by its state machine. Some implementations explicitly implement this state machine, while others only do this implicitly by raising errors internally if things happen which should not happen (like setting a master_secret when a master_secret was already set for the epoch). In our research, we looked exactly at the state machines of DTLS implementations using a grey box approach. The details to our approach will be in our upcoming paper (which will probably have another blog post), but what we basically did is carefully craft message flows and observed the behavior of the implementation to construct a mealy machine which models the behavior of the implementation to in- and out of order messages. We then analyzed these mealy machines for unexpected/unwanted/missing edges. The whole process is very similar to the work of Joeri de Ruiter and Erik Poll.


JSSE Bugs

The bugs we are presenting today were present in Java 11 and Java 13 (Oracle and OpenJDK). Older versions were as far as we know not affected. Cryptography in Java is implemented with so-called SecurityProvider. Per default SUN JCE is used to implement cryptography, however, every developer is free to write or add their own security provider and to use them for their cryptographic operations. One common alternative to SUN JCE is BouncyCastle. The whole concept is very similar to OpenSSL's engine concept (if you are familiar with that). Within the JCE exists JSSE - the Java Secure Socket Extension, which is the SSL/TLS part of JCE. The presented attacks were evaluated using SUN JSSE, so the default TLS implementation in Java. JSSE implements TLS and DTLS (added in Java 9). However, DTLS is not trivial to use, as the interface is quite complex and there are not a lot of good examples on how to use it. In the case of DTLS, only the heart of the protocol is implemented, how the data is moved from A to B is left to the developer. We developed a test harness around the SSLEngine.java to be able to speak DTLS with Java. The way JSSE implemented a state machine is quite interesting, as it was completely different from all other analyzed implementations. JSSE uses a producer/consumer architecture to decided on which messages to process. The code is quite complex but worth a look if you are interested in state machines.

So what is the bug we found? The first bug we discovered is that a JSSE DTLS/TLS Server accepts the following message sequence, with client authentication set to required:


JSSE is totally fine with the messages and finishes the handshake although the client does NOT provide a certificate at all (nor a CertificateVerify message). It is even willing to exchange application data with the client. But are we really authenticated with this message flow? Who are we? We did not provide a certificate! The answer is: it depends. Some applications trust that needClientAuth option of the TLS socket works and that the user is *some* authenticated user, which user exactly does not matter or is decided upon other authentication methods. If an application does this - then yes, you are authenticated. We tested this bug with Apache Tomcat and were able to bypass ClientAuthentication if it was activated and configured to use JSSE. However, if the application decides to check the identity of the user after the TLS socket was opened, an exception is thrown:

The reason for this is the following code snippet from within JSSE:


As we did not send a client certificate the value of peerCerts is null, therefore an exception is thrown. Although this bug is already pretty bad, we found an even worse (and weirder) message sequence which completely authenticates a user to a DTLS server (not TLS server though). Consider the following message sequence:

If we send this message sequence the server magically finishes the handshake with us and we are authenticated.

First off: WTF
Second off: WTF!!!111

This message sequence does not make any sense from a TLS/DTLS perspective. It starts off as a "no-authentication" handshake but then weird things happen. Instead of the Finished message, we send a Certificate message, followed by a Finished message, followed by a second(!) CCS message, followed by another Finished message. Somehow this sequence confuses JSSE such that we are authenticated although we didn't even provide proof that we own the private key for the Certificate we transmitted (as we did not send a CertificateVerify message).
So what is happening here? This bug is basically a combination of multiple bugs within JSSE. By starting the flight with a ClientKeyExchange message instead of a Certificate message, we make JSSE believe that the next messages we are supposed to send are ChangeCipherSpec and Finished (basically the first exploit). Since we did not send a Certificate message we are not required to send a CertificateVerify message. After the ClientKeyExchange message, JSSE is looking for a ChangeCipherSpec message followed by an "encrypted handshake message". JSSE assumes that the first encrypted message it receives will be the Finished message. It, therefore, waits for this condition. By sending ChangeCipherSpec and Certificate we are fulfilling this condition. The Certificate message really is an "encrypted handshake message" :). This triggers JSSE to proceed with the processing of received messages, ChangeCipherSpec message is consumed, and then the Certifi... Nope, JSSE notices that this is not a Finished message, so what JSSE does is buffer this message and revert to the previous state as this step has apparently not worked correctly. It then sees the Finished message - this is ok to receive now as we were *somehow* expecting a Finished message, but JSSE thinks that this Finished is out of place, as it reverted the state already to the previous one. So this message gets also buffered. JSSE is still waiting for a ChangeCipherSpec, "encrypted handshake message" - this is what the second ChangeCipherSpec & Finished is for. These messages trigger JSSE to proceed in the processing. It is actually not important that the last message is a Finished message, any handshake message will do the job. Since JSSE thinks that it got all required messages again it continues to process the received messages, but the Certificate and Finished message we sent previously are still in the buffer. The Certificate message is processed (e.g., the client certificate is written to the SSLContext.java). Then the next message in the buffer is processed, which is a Finished message. JSSE processes the Finished message (as it already had checked that it is fine to receive), it checks that the verify data is correct, and then... it stops processing any further messages. The Finished message basically contains a shortcut. Once it is processed we can stop interpreting other messages in the buffer (like the remaining ChangeCipherSpec & "encrypted handshake message"). JSSE thinks that the handshake has finished and sends ChangeCipherSpec Finished itself and with that the handshake is completed and the connection can be used as normal. If the application using JSSE now decides to check the Certificate in the SSLContext, it will see the certificate we presented (with no possibility to check that we did not present a CertificateVerify). The session is completely valid from JSSE's perspective.

Wow.

The bug was quite complex to analyze and is totally unintuitive. If you are still confused - don't worry. You are in good company, I spent almost a whole day analyzing the details... and I am still confused. The main problem why this bug is present is that JSSE did not validate the received message_sequence numbers of incoming handshake message. It basically called receive, sorted the received messages by their message_sequence, and processed the message in the "intended" order, without checking that this is the order they are supposed to be sent in.
For example, for JSSE the following message sequence (Certificate and CertificateVerify are exchanged) is totally fine:

Not sending a Certificate message was fine for JSSE as the REQUIRED setting was not correctly evaluated during the handshake. The consumer/producer architecture of JSSE then allowed us to cleverly bypass all the sanity checks.
But fortunately (for the community) this bypass does not work for TLS. Only the less-used DTLS is vulnerable. And this also makes kind of sense. DTLS has to be much more relaxed in dealing with out of order messages then TLS as UDP packets can get swapped or lost on transport and we still want to buffer messages even if they are out of order. But unfortunately for the community, there is also a bypass for JSSE TLS - and it is really really trivial:

Yep. You can just not send a CertificateVerify (and therefore no signature at all). If there is no signature there is nothing to be validated. From JSSE's perspective, you are completely authenticated. Nothing fancy, no complex message exchanges. Ouch.

PoC

A vulnerable java server can be found _*here*_. The repository includes a pre-built JSSE server and a Dockerfile to run the server in a vulnerable Java version. (If you want, you can also build the server yourself).
You can build the docker images with the following commands:

docker build . -t poc

You can start the server with docker:

docker run -p 4433:4433 poc tls

The server is configured to enforce client authentication and to only accept the client certificate with the SHA-256 Fingerprint: B3EAFA469E167DDC7358CA9B54006932E4A5A654699707F68040F529637ADBC2.

You can change the fingerprint the server accepts to your own certificates like this:

docker run -p 4433:4433 poc tls f7581c9694dea5cd43d010e1925740c72a422ff0ce92d2433a6b4f667945a746

To exploit the described vulnerabilities, you have to send (D)TLS messages in an unconventional order or have to not send specific messages but still compute correct cryptographic operations. To do this, you could either modify a TLS library of your choice to do the job - or instead use our TLS library TLS-Attacker. TLS-Attacker was built to send arbitrary TLS messages with arbitrary content in an arbitrary order - exactly what we need for this kind of attack. We have already written a few times about TLS-Attacker. You can find a general tutorial __here__, but here is the TLDR (for Ubuntu) to get you going.

Now TLS-Attacker should be built successfully and you should have some built .jar files within the apps/ folder.
We can now create a custom workflow as an XML file where we specify the messages we want to transmit:

This workflow trace basically tells TLS-Attacker to send a default ClientHello, wait for a ServerHelloDone message, then send a ClientKeyExchange message for whichever cipher suite the server chose and then follow it up with a ChangeCipherSpec & Finished message. After that TLS-Attacker will just wait for whatever the server sent. The last action prints the (eventually) transmitted application data into the console. You can execute this WorkflowTrace with the TLS-Client.jar:

java -jar TLS-Client.jar -connect localhost:4433 -workflow_input exploit1.xml

With a vulnerable server the result should look something like this:

and from TLS-Attackers perspective:

As mentioned earlier, if the server is trying to access the certificate, it throws an SSLPeerUnverifiedException. However, if the server does not - it is completely fine exchanging application data.
We can now also run the second exploit against the TLS server (not the one against DTLS). For this case I just simply also send the certificate of a valid client to the server (without knowing the private key). The modified WorkflowTrace looks like this:

Your output should now look like this:

As you can see, when accessing the certificate, no exception is thrown and everything works as if we would have the private key. Yep, it is that simple.
To test the DTLS specific vulnerability we need a vulnerable DTLS-Server:

docker run -p 4434:4433/udp poc:latest dtls

A WorkflowTrace which exploits the DTLS specific vulnerability would look like this:

To execute the handshake we now need to tell TLS-Attacker additionally to use UDP instead of TCP and DTLS instead of TLS:

java -jar TLS-Client.jar -connect localhost:4434 -workflow_input exploit2.xml -transport_handler_type UDP -version DTLS12

Resulting in the following handshake:

As you can see, we can exchange ApplicationData as an authenticated user. The server actually sends the ChangeCipherSpec,Finished messages twice - to avoid retransmissions from the client in case his ChangeCipherSpec,Finished is lost in transit (this is done on purpose).


Conclusion

These bugs are quite fatal for client authentication. The vulnerability got CVSS:4.8 as it is "hard to exploit" apparently. It's hard to estimate the impact of the vulnerability as client authentication is often done in internal networks, on unusual ports or in smart-card setups. If you want to know more about how we found these vulnerabilities you sadly have to wait for our research paper. Until then ~:)

Credits

Paul Fiterau Brostean (@PaulTheGreatest) (Uppsala University)
Robert Merget (@ic0nz1) (Ruhr University Bochum)
Juraj Somorovsky (@jurajsomorovsky) (Ruhr University Bochum)
Kostis Sagonas (Uppsala University)
Bengt Jonsson (Uppsala University)
Joeri de Ruiter (@cypherpunknl)  (SIDN Labs)

 

 Responsible Disclosure

We reported our vulnerabilities to Oracle in September 2019. The patch for these issues was released on 14.01.2020.
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Sunday, May 17, 2020

Top 20 Android Spy Apps That Will.Make U Fell Like A Dectitive

             Top 10 Best android spy apps.                 

t's worth to note that there are plenty of Android spy apps available on the Google Play Store, but mentioning all of them is not possible. So, in this article, we have listed the one that's popular and used by many. So, let's explore the list of best spy apps 2019.

#1 Spy Camera OS

Spy Camera OS

This app permits users to capture images secretly. This app provides a smart way to shoot photos with a hidden camera interface so people wouldn't notice that you are taking pictures of them. Also, every sound and flash etc get disabled in this app.

#2 Ear Spy

Ear Spy

This is an awesome app to record even low voices. By this app, you can place your phone in the other room and can listen to the voices of that room by your Bluetooth handset. This app actually records the sound and then amplifies its recording and give you the amplified clear voices.

#3 Ip Cam Viewer

Ip Cam Viewer

This awesome app allows to remotely view and control your IP Camera, DVR, Network Video Recorder, traffic cameras, CCTV or WebCam from an android device. In its new version, you can also get the notification on detecting motion on the device. This app can automatically start recording whenever it detects motion.

#4 Automatic Call Recorder

Automatic Call Recorder

This is another best Spy App that one can have on their Android smartphone. This app gets automatically launched whenever you make or receive any call. It records all the conversation b/w speakers and also the surrounding noise of the device in which it is installed.

#5 Monitor Call Sms Location

Monitor Call Sms Location

This is another good spy app to remotely monitor SMS, Photo, Location, call logs and many more things on an Android device. This will exact location of the targeted device through a web-portal even if GPS disabled on the target device. The app comes with the three-day free trial option.

#6 Anti Spy Mobile

Anti Spy Mobile

You don't know whether you had installed any spyware software on your phone? Use this app to instantly find the spyware. The Android app uses advanced detection techniques to detect new spyware. So, with this app, you can easily protect yourself from Android spyware.

#7 Hidden Eye

Hidden Eye

Ever wanted to know who tried snooping on your phone while you were away. Your friends or family member might have tried to unlock your phone. Hidden Eye is a simple app with no frills that will photograph the person when they try to unlock your phone.

#8 AppLock

AppLock

Applock is the most downloaded app lock in Play Store. Protect privacy with password, pattern, fingerprint lock. AppLock can lock Facebook, Whatsapp, Gallery, Messenger, SMS, Contacts, Gmail, Settings, incoming calls and any app you choose. Prevent unauthorized access and guard privacy. Ensure security.

#9 Hide Calls Automatically

Hide Calls Automatically

With this app, all outgoing, incoming and missed calls coming from private contacts will be deleted automatically from calls Log of your phone! No icon of this app will appear in your list of applications on your phone.

#10 Truecaller: Caller ID & Dialer

Truecaller

Truecaller is the only dialer you'll ever need with the ability to identify unknown callers and block unwanted calls. See names and photos of people who call, even if they aren't saved in your phonebook. And know when friends are free to talk, making your calling experience smarter and more delightful.

#11 Cell Tracker

Cell Tracker

You can use the cell tracker Android app to keep track of the location of your smartphone. With the help of this app, you can track all the locations you have visited in the last few days with your Android phone. To check the locations visited you have to launch the app and click on "View Now". No need to turn on the GPS.

#12 Secret Calls

Secret Calls

With the help of this app, all outgoing, Incoming and Missed Calls coming from private contacts will be deleted automatically from Calls Log of your phone! No icon of this app will appear in your list of applications on your phone.

#13 Spy Camera

Spy Camera

This is another Spy app on the list which provides one-touch to capture image feature. The app actually has lots of useful features. With the help of this app, you can find your lost phone because this app allows you to set up a number. When you lost your phone, just SMS to this phone and it will take a picture and upload to drive.

#14 Truecaller

Truecaller

Truecaller is a popular Android app which is used every day to identify unknown calls, block spam calls and spam SMS. It filters out the unwanted and lets you connect with people who matter.

#15 Whoscall – Caller ID

Whoscall - Caller ID

Whoscall, the best caller ID App that identifies unknown calls and blocks annoying spams, robocall & telemarketing with more than 50 million downloads and over 1 billion numbers data. It also got the call blocker that can be used to blacklist or whitelist contacts stored on your smartphone.

#16 Norton Family parental control

Norton Family parental control

Norton Family parental control is basically an Android app that is meant to keep kids safe online. However, this is nothing sort of a spy app. The app can help you to supervise online activity. You can easily keep track of sites which your friend visit and what they search if you install Norton Family Parental control on their phone.

#17 Smart Hide Calculator

Smart Hide Calculator

The app doesn't help users to spy on others. But, it can give you a detective type feeling. Smart hide calculator is a fully functional calculator app but with a little twist. Once you enter the password and press the '=' button then boom you are presented to an interface where you can hide, unhide pictures, videos, documents or files with any file extension.

#18 Hidden Eye

Hidden Eye

Ever wanted to know who tried snooping into your phone while you were away. Your friends or family member might have tried to unlock your phone. Hidden Eye is a simple app with no frills that will photograph the person when they try to unlock your phone.

#19 Background Video Recorder

Background Video Recorder

This is another best Android spy app that helps users to record what's happening behind them. Background Video Recorder is basically a camera app that records videos silently on the background. The app eliminates the camera shutter sounds, camera previews and it can also record videos when the screen is off.

#20 Kids Place

Kids Place

Kids Place is another best parental control app in the list and its meant to protect your kids' online activities. However, if you don't have kids, you can use the app to track other devices. The app gives you full control over other devices and you can control everything including calls, text, internet browsing, apps, etc.

@EVERYTHING NT

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S2 Dynamic Tracer And Decompiler For Gdb

Decompiling is very useful for understanding srtipped binaries, most dissasemblers like IDA or Hopper have a plugin for decompiling binaries, generating a c like pseudocode.

Static analysis, is very useful in most of cases, specially when the binary is not so big, or when you just have an address where to start to analyze. But some algorithms will be learned in less time by dynamic analysis like tracing or debugging.

In cookiemonsters team, we are working on several tracers with different focus, but all of them mix the concept of tracing and decompiling to generate human-readable traces.

S2 is my tracer & decompiler plugin for gdb, very useful for ctfs.
Some of the features are:

- signed/unsigned detecion
- conditional pseudocode (if)
- syscall resolution
- unroll bucles
- used registers values
- mem states
- strings
- logging



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