Advantage of Ethical Hacking Hacking is quite useful in the following purpose- 1-To recover lost information, especially in case you lost your password. 2-To perform penetration testing to strengthen computer and network security.
3-To put adequate preventative measure in place to prevent security breaches. 4-To have a computer system that prevents malicious hackers from gaining access.
5-Fighting against terrorism and national security breaches.
Recently, the theoretical and practical analysis of secure instant messenger protocols received much attention, but the focus of prior evaluations mostly lay in one-to-one communication. In this blog post we want to presents the results of our work that focuses on group chat protocols of three major instant messenger applications; namely Signal, WhatsApp, and Threema.
In this blog post, we aim to focus on the practical impact and the found weaknesses identified by our analysis. The interested reader may also look into our paper for more details.
Our Aim and What We Were Looking For
End-to-end encryption protects the confidentiality of communication that is forwarded via central servers to the designated receivers. As a consequence, neither parties on the network route of the messages, nor the provider of the central server (e.g. the WhatsApp server) should be able to read any information out of the observation of the communication. In particular, no other user of the application should have access to the communication. Further it might be desirable to require that also the messages' integrity is end-to-end protected and that a sender is informed about the delivery state of sent messages.
Delivery state information in Signal (upper screenshot) and WhatsApp (lower screenshot)
In a two party scenario, this analysis is rather fixed to two components of the protocol: the key establishment between both parties and the communication channel protection using the established key (mostly consisting of an encryption algorithm and a scheme for providing integrity like MACs or signature schemes).
Regarded attackers
In a group setting, the same attackers apply (network, provider, other users). However the requirements for secure communication differ. It is further necessary that only group members can write to and read content from the group. Additionally, only administrators of the group are able to add new members.
In addition to these standard requirements, we also evaluated the protocols' security guarantees if the client's secrets were revealed (forward secrecy and future secrecy).
Our Approach
We analyzed the mentioned protocols by reading the source code and debugging the apps. We also used alternative open source implementations of Threema and WhatsApp as a help and we traced the network traffic. When using alternative implementations, we only took incoming traffic into account, which was generated by official applications. Thereby we extracted the protocol descriptions and evaluated them regarding the defined requirements.
Our Findings
In WhatsApp and Threema, the provider was able to manipulate the set of members. Threema only allowed the provider to rewind the set of members to a previous state. As a consequence previously removed members could have been added to the group again. The WhatsApp provider is able to arbitrarily manipulate the member set. Thereby further members and administrators can be added to the group. Since the authenticity of group manipulation is not protected, the WhatsApp provider can set the real group administrator as the source of manipulation even though this administrator was not active.
Since Signal's key exchange protocol provides future secrecy, we also evaluated the protocol's ability to recover into a secure group state after a member's state was compromised. The essential weakness here is that a sender only needs to know the static group ID to send a message to the group. If a group member receives a message with the correct group ID, no verification regarding the current member set takes place but the message is directly added to the group communication. Consequently it is sufficient to retrieve the group ID in order to send messages to the group. Since Signal treats content messages the same way as messages for the manipulation of the group set, an attacker who knows the group ID can add herself to the group and thereby read the subsequent group communication.
In addition to this, in all cases the delivery state of sent messages was not securely provided. Threema's group chats do not inform the sender about the delivery state while Signal and WhatsApp do not protect the delivery information on the end-to-end layer. Therefore the central provider can forge this information and drop messages without letting the communicating parties detect this.
Also the order of messages was manipulable for the providers of the applications such that the provider is able to deliver the messages in a different order than they were sent. Threema's weakness of rewinding a group state results from missing replay attack protection.
Impact of Weaknesses
Even though end-to-end encryption is implemented in all analyzed applications, the central providers can largely manipulate the communication in groups and partially also read it. In all applications, the provider can undetectably drop and reorder messages during the delivery and thereby manipulate the view of the communication such that further attacks can be obfuscated. The central servers of WhatsApp can be used to add arbitrary users to groups and thereby receive their communication. To achieve the same result for Signal, it suffices to retrieve the group ID. An earlier member who left the group once still knows this ID since it is static. However, in contrast to WhatsApp, the origin of the manipulation is correctly displayed in the Signal application (which was not the fact when we started our analysis).
As a result, the end-to-end protection of WhatsApp is not sufficient to reach confidentiality in groups. For Signal no future secrecy is reached in groups and Threema was vulnerable to replay attacks which resulted in further weaknesses.
Responsible Disclosure
We disclosed our findings to the developers and received varying response. Threema updated their protocol in version 3.14 such that our attacks are not feasible anymore. Moxie Marlinspike responded that Signal is "working on an entirely new group mechanism that we should be deploying soon". WhatsApp did not hold out the prospect of fixing the described vulnerabilities (Update 01/18: According to Facebook's Security Head, the invite links make a fix more difficult [1]; we proposed a way to solve this issue [2]).
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.
Information gathering can be broken into seven logical steps. Footprinting is performed during the first two steps of unearthing initial information and locating the network range.
Footprinting
Footprinting is defined as the process of establishing a scenario or creating a map of an organization's network and systems. Information gathering is also known as footprinting an organization. Footprinting is an important part of reconnaissance process which is typically used for collecting possible information about a targeted computer system or network. Active and Passive bothcould be Footprinting. The example of passive footprinting is assessment of a company's website, whereas attempting to gain access to sensitive information through social engineering is an example of active information gathering. Basically footprinting is the beginning step of hacker to get hacked someone because having information about targeted computer system is the main aspect of hacking. If you have an information about individual you wanna hack so you can easily hacked that individual. The basic purpose of information gathering is at least decide what type of attacks will be more suitable for the target. Here are some of the pieces of information to be gathered about a target during footprinting:
Domain name
Network blocks
Network services and applications
System architecture
Intrusion detection system
Authentication mechanisms
Specific IP addresses
Access control mechanisms
Phone numbers
Contact addresses
Once this information is assemble, it can give a hacker better perception into the organization, where important information is stored, and how it can be accessed.
Footprinting Tools
Footprinting can be done using hacking tools, either applications or websites, which allow the hacker to locate information passively. By using these footprinting tools, a hacker can gain some basic information on, or "footprint," the target. By first footprinting the target, a hacker can eliminate tools that will not work against the target systems or network. For example, if a graphics design firm uses all Macintosh computers, then all hacking software that targets Windows systems can be eliminated. Footprinting not only speeds up the hacking process by eliminating certain tool sets but also minimizes the chance of detection as fewer hacking attempts can be made by using the right tool for the job. Some of the common tools used for footprinting and information gathering are as follows:
Domain name lookup
Whois
NSlookup
Sam Spade
Before we discuss these tools, keep in mind that open source information can also yield a wealth of information about a target, such as phone numbers and addresses. Performing Whois requests, searching domain name system (DNS) tables, and using other lookup web tools are forms of open source footprinting. Most of this information is fairly easy to get and legal to obtain.
Footprinting a Target
Footprinting is part of the preparatory pre-attack phase and involves accumulating data regarding a target's environment and architecture, usually for the purpose of finding ways to intrude into that environment. Footprinting can reveal system vulnerabilities and identify the ease with which they can be exploited. This is the easiest way for hackers to gather information about computer systems and the companies they belong to. The purpose of this preparatory phase is to learn as much as you can about a system, its remote access capabilities, its ports and services, and any specific aspects of its security.
DNS Enumeration
DNS enumeration is the process of locating all the DNS servers and their corresponding records for an organization. A company may have both internal and external DNS servers that can yield information such as usernames, computer names, and IP addresses of potential target systems.
NSlookup and DNSstuff
One powerful tool you should be familiar with is NSlookup (see Figure 2.2). This tool queries DNS servers for record information. It's included in Unix, Linux, and Windows operating systems. Hacking tools such as Sam Spade also include NSlookup tools. Building on the information gathered from Whois, you can use NSlookup to find additional IP addresses for servers and other hosts. Using the authoritative name server information from Whois ( AUTH1.NS.NYI.NET ), you can discover the IP address of the mail server.
Syntax
nslookup www.sitename.com
nslookup www.usociety4.com
Performing DNS Lookup
This search reveals all the alias records for www.google.com and the IP address of the web server. You can even discover all the name servers and associated IP addresses.
Understanding Whois and ARIN Lookups
Whois evolved from the Unix operating system, but it can now be found in many operating systems as well as in hacking toolkits and on the Internet. This tool identifies who has registered domain names used for email or websites. A uniform resource locator (URL), such as www.Microsoft.com , contains the domain name ( Microsoft.com ) and a hostname or alias ( www ). The Internet Corporation for Assigned Names and Numbers (ICANN) requires registration of domain names to ensure that only a single company uses a specific domain name. The Whois tool queries the registration database to retrieve contact information about the individual or organization that holds a domain registration.
Using Whois
Go to the DNSStuff.com website and scroll down to the free tools at the bottom of the page.
Enter your target company URL in the WHOIS Lookup field and click the WHOIS button.
Examine the results and determine the following:
Registered address
Technical and DNS contacts
Contact email
Contact phone number
Expiration date
Visit the company website and see if the contact information from WHOIS matches up to any contact names, addresses, and email addresses listed on the website.
If so, use Google to search on the employee names or email addresses. You can learn the email naming convention used by the organization, and whether there is any information that should not be publicly available.
" Ophcrack is an open source (GPL license) program that cracks Windows LM hashes using rainbow tables. The program includes the ability to import the hashes from a variety of formats, including dumping directly from the SAM files of Windows. There is also a Live CD version which automates the retrieval, decryption, and cracking of passwords from a Windows system. Rainbow tables for LM hashes of alphanumeric passwords are provided for free by the developers. These tables can crack 99.9% of alphanumeric passwords of up to 14 characters in usually a few seconds, and at most a few minutes. Larger rainbow tables (for LM hashes of passwords with all printable characters, including symbols and space) are available for purchase from Objectif Securité. Starting with version 2.3, Ophcrack also cracks NT hashes. This is necessary if generation of the LM hash is disabled (this is default on Windows Vista), or if the password is longer than 14 characters (in which case the LM hash is not stored)." read more...
There are a lot of hacking tools available over the internet but mostly we need some of them. In this blog you'll learn about hacking tools which are typically used in the world of hacking by penetration testers.
SmartWhois
SmartWhois is an information-gathering program that allows you to find all available information about an IP address, hostname, or domain, including country, state or province, city, name of the network provider, administrator, and technical support contact information. SmartWhois is a graphical version of the basic Whois program.
SocksChain
SocksChain is a tool that gives a hacker the ability to attack through a chain of proxy servers. The main purpose of doing this is to hide the hacker's real IP address and therefore minimize the chance of detection. When a hacker works through several proxy servers in series, it's much harder to locate the hacker. Tracking the attacker's IP address through the logs of several proxy servers is complex and tedious work. If one of the proxy servers' log files is lost or incomplete, the chain is broken, and the hacker's IP address remains anonymous.
NeoTrace, VisualRoute, and VisualLookout
NeoTrace, VisualRoute, and VisualLookout are all packet-tracking tools with a GUI or visual interface. They plot the path the packets travel on a map and can visually identify the locations of routers and other internet working devices. These tools operate similarly to traceroute and perform the same information gathering; however, they provide a visual representation of the results.
Visualware's eMailTrackerPro
Visualware's eMailTrackerPro ( www.emailtrackerpro.com/ ) and MailTracking ( http://mailtracking.com/ ) are tools that allow an ethical hacker to track email messages. When you use these tools to send an email, forward an email, reply to an email, or modify an email, the resulting actions and tracks of the original email are logged. The sender is notified of all actions performed on the tracked email by an automatically generated email.
IPEye
IPEye is a TCP port scanner that can do SYN, FIN, Null, and XMAS scans. It's a command line tool. IPEye probes the ports on a target system and responds with closed, reject, drop, or open. Closed means there is a computer on the other end, but it doesn't listen at the port. Reject means a firewall is rejecting the connection to the port (sending a reset back). Drop means a firewall is dropping everything to the port, or there is no computer on the other end. Open means some kind of service is listening at the port. These responses help a hacker identify what type of system is responding.
IPSecScan
IPSecScan is a tool that can scan either a single IP address or a range of addresses looking for systems that are IPSec enabled that means the system has IPSec enabled while disabled means that it either has IPSec disabled, the compatibility issue or the configuration issue that not reveal to you that it has IPSec enabled. Indeterminable means that the scanner isn't sure if IPSec is enabled or disabled.
Icmpenum
Icmpenum uses not only ICMP Echo packets to probe networks, but also ICMP Timestamp and ICMP Information packets. Furthermore, it supports spoofing and sniffing for reply packets. Icmpenum is great for scanning networks when the firewall blocks ICMP Echo packets but fails to block Timestamp or Information packets.
SNMP Scanner
SNMP Scanner allows you to scan a range or list of hosts performing ping, DNS, and Simple Network Management Protocol (SNMP) queries. This tool helps you to find out the current information about the device of SNMP nodes in the given network.
hping2 tool
The hping2 tool is notable because it contains a host of other features besides OS fingerprinting such as TCP, User Datagram Protocol (UDP), ICMP, and raw-IP ping protocols, traceroute mode, and the ability to send files between the source and target system.
THC-Scan, PhoneSweep, and TeleSweep
THC-Scan, PhoneSweep, and TeleSweep are tools that identify phone numbers and can dial a target to make a connection with a computer modem. These tools generally work by using a predetermined list of common usernames and passwords in an attempt to gain access to the system. Most remote-access dial-in connections aren't secured with a password or use very rudimentary security.
XSStrike is really advanced XSS exploitation and detection suite, which contains a very powerful XSS fuzzer and provides no false positive results using fuzzy matching. XSStrike is the first XSS scanner that generates its own payloads. Download xsstrike and test it out.
It also has built in an artificial intelligent enough to detect and break out of various contexts.
FEATURES:
Powerful Fuzzing Engine
Context Breaking Intelligence
AI Payload Generation
GET & POST Methods Support
Cookie Support
WAF Fingerprinting
Handcrafted Payloads to Filter and WAF Evasion
Hidden Parameter Discovery
Accurate Results
DOWNLOAD XSSTRIKE – ADVANCED XSS EXPLOITATION SUITE
In this post, we present our new Burp Suite extension "TLS-Attacker". Using this extension penetration testers and security researchers can assess the security of TLS server configurations directly from within Burp Suite. The extension is based on the TLS-Attacker framework and the TLS-Scanner, both of which are developed by the Chair for Network and Data Security.
Thanks to the seamless integration of the TLS-Scanner into the BurpSuite, the penetration tester only needs to configure a single parameter: the host to be scanned. After clicking the Scan button, the extension runs the default checks and responds with a report that allows penetration testers to quickly determine potential issues in the server's TLS configuration. Basic tests check the supported cipher suites and protocol versions. In addition, several known attacks on TLS are automatically evaluated, including Bleichenbacher's attack, Padding Oracles, and Invalid Curve attacks.
Furthermore, the extension allows fine-tuning for the configuration of the underlying TLS-Scanner. The two parameters parallelProbes and overallThreads can be used to improve the scan performance (at the cost of increased network load and resource usage).
It is also possible to configure the granularity of the scan using Scan Detail and Danger Level. The level of detail contained in the returned scan report can also be controlled using the Report Detail setting.
Please refer to the GitHub repositories linked above for further details on configuration and usage of TLS-Scanner.
Scan History
If several hosts are scanned, the Scan History tab keeps track of the preformed scans and is a useful tool when comparing the results of subsequent scans.
Additional functions will follow in later versions
Currently, we are working on integrating an at-a-glance rating mechanism to allow for easily estimating the security of a scanned host's TLS configuration.
This is a combined work of Nurullah Erinola, Nils Engelbertz, David Herring, Juraj Somorovsky, Vladislav Mladenov, and Robert Merget. The research was supported by the European Commission through the FutureTrust project (grant 700542-Future-Trust-H2020-DS-2015-1).
Kali 2018.3 brings the kernel up to version 4.17.0 and while 4.17.0 did not introduce many changes, 4.16.0 had a huge number of additions and improvements including more Spectre and Meltdown fixes, improved power management, and better GPU support.
New Tools and Tool Upgrades Since our last release, we have added a number of new tools to the repositories, including:
If you would like to check out this latest and greatest Kali release, you can find download links for ISOs and Torrents on the Kali Downloads page along with links to the Offensive Security virtual machine and ARM images, which have also been updated to 2018.3. If you already have a Kali installation you're happy with, you can easily upgrade in place as follows.
root@kali:~# apt update && apt -y full-upgrade
If you come across any bugs in Kali, please open a report on our bug tracker. It's more than a little challenging to fix what we don't know about.
Making sure you are up-to-date
To double check your version, first make sure your network repositories is enabled.
root@kali:~# cat</etc/apt/sources.list deb http://http.kali.org/kali kali-rolling main non-free contrib EOF root@kali:~#
Then after running apt -y full-upgrade, you may require a reboot before checking:
root@kali:~# grep VERSION /etc/os-release VERSION="2018.3" VERSION_ID="2018.3" root@kali:~#
The social network giant, Facebook is going through a bad phase with lots of ups and down. The recent scandal with Cambridge Analytica has caused the world's largest social network giant Facebook to change its stance on user privacy and to be more transparent about its use of the data it collects.
Since then, some social networks based in Blockchain have been popularized, namely Sphere, Steemit, and Howdoo. However, recently, something unusual announcement is announced by the social network giant Facebook itself, in which Facebook stated that it is investing in a Blockchain-based solution development team, but, the purpose of the project is not yet known.
It was with a post on the Facebook page that David Marcus confirmed his departure from the Messenger team and the creation of a small group dedicated to finding solutions based on the potential of Blockchain technology for Facebook.
David Marcus has not given much detail on the work he will do with his new group, saying only that they will study Blockchain from scratch so that they can use this revolutionary technology for Facebook.
"I'm setting up a small group to explore how to leverage Blockchain across Facebook, starting from scratch," stated David Marcus.
Despite being connected to Facebook's Messenger since 2014, David Marcus is no novice in these financial issues related to money transfers. In addition to having introduced the possibility of P2P payments in Messenger itself, David Marcus was President of PayPal and CEO of Zong, a company dedicated to payments on mobile devices.
However, his experience in this segment does not allow us to conclude that Facebook will create or support a crypto coin, but, it also doesn't mean that it will launch or support any crypto coin of its own. Blockchain technology has become famous thanks to crypto-coins, especially Bitcoin, but its potential expands dramatically to other areas.
The potential of Blockchain goes from the crypto-coins to the creation of real ecosystems online, supported by the users of the network. Sharing and storing data is a legacy that Blockchain allows you to explore and maybe the fact that Facebook will use it in your favor.
The lead post in Messenger was then handed over to Stan Chudnovsky, who now heads one of the most widely used communication services around the world, alongside WhatsApp.
Rumors also point out that James Everingham and Kevin Weil, both from Instagram, will also join David Marcus in this new onslaught of Facebook to one of today's most acclaimed technologies.
The term cyber security refers to the technologies and processes designed to defend computer system, software, networks & user data from unauthorized access, also from threats distributed through the internet by cybercriminals,terrorist groups of hacker.
Main types of cybersecurity are
Critical infrastructure security
Application security
Network Security
Cloud Security
Internet of things security.
These are the main types of cybersecurity used by cybersecurity expert to any organisation for safe and protect thier data from hack by a hacker.
Top Skills Required to become Cybersecurity Expert-
Problem Solving Skills
Communication Skill
Technical Strength & Aptitude
Desire to learn
Attention to Detail
Knowledge of security across various platforms
Knowledge of Hacking
Fundamental Computer Forensic Skill.
These skills are essential for become a cybersecurity expert.
Cyber cell and IT cell these are the department in our india which provide cybersecurity and looks into the matters related to cyber crimes to stop the crime because in this digitilization world cyber crime increasing day by day so our government of india also takes the immediate action to prevent the cybercrimes with the help of these departments and also arrest the victim and file a complain against him/her with the help of cyberlaw in our constitution.
The process of transforming information into nonhuman readable form or vice versa is called cryptography.
Cryptography is the science of ciphering and deciphering messages.
OR
Cryptography is a method of protecting information and communication through the use of codes so that only those whom the information is intended can read and process it.
In Computer Science, cryptography refers to secure information and communication techniques derived from mathematical concepts , a set of rule based calculations called algorithm to transform message in ways the hard to readable for human.
Information plays a vital role in running of business and organizations etc, information in the wrong hands can leads to loss of business.
To secure communication organizations use cryptology to cipher information .
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.
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
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:
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:
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:
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 mistakesI 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 zerosand 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:
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.
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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