Hacking tips
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06/11/2016
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Hacking Links The best hacking site on the internet. Come here to find out how to become a hacker and learn how to hack servers, firewalls, web sites, email accounts, facebook, twitter, and more!
Anonymous (group)
Anonymous is a loosely associated international network of activist and hacktivist entities. A website nominally associated with the group describes it as "an Internet gathering" with "a very loose and decentralized command structure that operates on ideas rather than directives".[2] The group became known for a series of well-publicized publicity stunts and distributed denial-of-service (DDoS) attacks on government, religious, and corporate websites.[3]
Anonymous originated in 2003 on the imageboard 4chan, representing the concept of many online and offline community users simultaneously existing as an anarchic, digitized global brain.[4][5][6] Anonymous members (known as "Anons") can be distinguished in public by the wearing of Guy Fawkes masks in the style portrayed in the graphic novel and film V for Vendetta.[7]
In its early form, the concept was adopted by a decentralized online community acting anonymously in a coordinated manner, usually toward a loosely self-agreed goal, and primarily focused on entertainment, or "lulz". Beginning with 2008's Project Chanology—a series of protests, pranks, and hacks targeting the Church of Scientology—the Anonymous collective became increasingly associated with collaborative hacktivism on a number of issues internationally. Individuals claiming to align themselves with Anonymous undertook protests and other actions (including direct action) in retaliation against copyright-focused campaigns by motion picture and recording industry trade associations. Later targets of Anonymous hacktivism included government agencies of the U.S., Israel, Tunisia, Uganda, and others; the Islamic State of Iraq and the Levant; child po*******hy sites; copyright protection agencies; the Westboro Baptist Church; and corporations such as PayPal, MasterCard, Visa, and Sony. Anons have publicly supported WikiLeaks and the Occupy movement. Related groups LulzSec and Operation AntiSec carried out cyberattacks on U.S. government agencies, media, video game companies, military contractors, military personnel, and police officers, resulting in the attention of law enforcement to the groups' activities. Some actions by members of the group have been described as being anti-Zionist. It has threatened to cyber-attack Israel and engaged in the " " cyber-attacks of Israeli websites on Yom HaShoah (Holocaust Remembrance Day) in 2013.[8]
Dozens of people have been arrested for involvement in Anonymous cyberattacks, in countries including the U.S., UK, Australia, the Netherlands, Spain, India and Turkey. Evaluations of the group's actions and effectiveness vary widely. Supporters have called the group "freedom fighters"[9] and digital Robin Hoods[10] while critics have described them as "a cyber lynch-mob"[11] or "cyber terrorists".[12] In 2012, Time called Anonymous one of the "100 most influential people" in the world.[13]
If you want to Increase your Internet speed over a shared Internet network, then head over here. You will find steps to use NetCut, a very popular and free cracking software used to cut Internet connection of users by ARP spoofing hack.
It’s quite easy to crack if you follow our steps carefully. This trick will work with most of the wifi devices that have old hardware( modems and routers). For general knowledge, there are two types of wifi keys WEP and WPA. Both are explained below:
1: WEP: Wired Equivalent Privacy (WEP) is one of the widely used security key in wifi devices. It is also the oldest and most popular key and was added in 1999. WEP uses 128 bit and 256-bit encryption. With the help of this tutorial, you can easily get into 128-bit encryption and Hack WiFi password using CMD.
2: WAP and WAP2: Wi-Fi Protected Access is an another version of WiFi encryption and was first used in 2003. It uses the 256-bit encryption model and is tough to hack. WAP2 is an updated version of WAP and was introduced in 2006. Since then it has replaced WAP and is now been used mostly in offices and colleges worldwide.
Below are some steps to hack wifi password using cmd. Follow them carefully and you might get one of your neighbors passwords.
HACK WIFI PASSWORD USING CMD
Hacking a Wi-Fi device is not always easy. You have to be careful of so many steps. Otherwise, you might even get caught. For easy and secure hacking, one should use the command prompt (cmd). Cmd is one of the most used features of Windows that gives you access to almost everything on a system. If used properly, you can even get inside other remote systems. To know more about cmd hacking check out our articles here.
Steps to Hack Wifi password using cmd:
1: Open command prompt by going to start and click on run command or enter windows+r, then type cmd and hit Enter
2: In command prompt window, type
netsh wlan show network mode=bssid
hack wifi password using cmd
hack wifi password using cmd
3: This command will show all the available WiFi network in your area
4: This is the last step. Just type:
netsh wlan connect name=(wifi name )
netsh wlan connect name=Mynet Sata1
and you will be connected to that WiFi network.
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How to Find SERIAL KEYS from Google:
steps:-
1) go to google.com
2) write the name of the software you want key and add 94FBR at the end.
Eg :- if you want to find key of IDM then write "IDM 94FBR " (without quotes)
3) search it and you will find many sites with serial keys of that softwares
DONE !!!!
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What is Cookie Hijacking.?
Cookie hijacking is also called session hijacking or cookie theft.
Cookie hijacking is a hacking process by which the hacker gains unauthorized access to some confidential information in a way which is not facilitated by the user or a secure session.
Specifically speaking cookie hijacking means hacking or stealing the cookies that contain confidential information that is needed to authenticate or connect a user to a remote web server.
Cookie hijacking can be performed by the hacker by using a computer between the node and server or by obtaining access to the cookies stored on the user’s computer.
A hacker can also use source router Internet protocol or IP packets to gain unauthorized access between two communicating nodes.
The hacker would then route the packets containing cookies to pass through his computer before reaching destination.
Cookie hijacking sometimes is used to perform denial of service attacks also known as DDoS attacks.
Hack Website with IIS Exploit.
with IIS Exploit we can upload the Defaced page on the Vulnerable Server without any Login. It is most Easiest way to Hack any site.
STEP 1: Click on Start button and open "RUN".
STEP 2: Now Type this in RUN
%WINDIR%\EXPLORER.EXE ,::{20D04FE0-3AEA-1069-A2D8-08002B30309D}\::{BDEADF00-C265-11d0-BCED-00A0C90AB50F}
Now A Folder named "Web Folders" will open.
STEP 3: Now "Right-Click" in the folder and Goto "New" and then "Web Folder".
STEP 4: Now type the name of the Vulnerable site in this. e.g." http:// victimsite .com/" and click "Next".
STEP 5: Now Click on "Finish"
STEP 6: Now the folder will appear. You can open it and put any deface page or anything.
STEP 7: I put text file in that folder. Named "securityalert.txt" (you can put a shell or HTML file also). If the file appear in the folder then the Hack is successful but if it don't then the site is not Vulnerable.
Now to view the uploaded site i will go to " http:// victimsite .com/ securityalert.tx t"
In your case it will be " www.[sitename].com/[file name that you uploaded] "
Done! //Education PurPose
Youtube ads Spreading Malware to viewers
Latest Hacking News
A Security Researchers at Bromium have discovered a new type of attack in which hackers were spreading Malwares while users were watching YouTube Videos. This Attack was distributed by advert which was shown on YouTube Website, An exploit kit...
01/03/2014
Hi guys i got an AWSOME virus builder and I am sharing this with you...
Here's the link
https://www.dropbox.com/s/inta9h5xsv85bjd/Ultimate%20Virus%20Builder.rar..See More
Ultimate Virus Builder.rar
www.dropbox.com
Shared with Dropbox
Ultimate Virus Builder.rar Shared with Dropbox
How to Hack Snapchat's Dumb Anti-Robot Security In Less Than 30 Minutes
I woke up this morning and saw an article detailing Snapchat's new verification system designed to help cut back the snap spam that seems to be slowly infiltrating the service.
You may not have seen it but if not I will summarize it for you. They basically have you choose from amongst a bunch of images, identifying the ones that have the Snapchat ghost to prove you are a person. It is kind of like a less annoying CAPTCHA.
How I Hacked Snapchat's Dumb Anti-Robot Security In Less Than 30 Minutes
The problem with this is that the Snapchat ghost is very particular. You could even call it a template. For those of you familiar with template matching, which is what Snapchat is asking you to do to verify your humanity, it's one of the easier tasks in computer vision.
This is an incredibly bad way to verify someone is a person because it is such an easy problem for a computer to solve.
After I read this, I spent around 30 minutes writing up some code in order to make a computer do this. Now there are many ways of solving this problem, HoG probably would have been best or even color thresholding and PCA for blob recognition but it would take more time, and I'm lazy (read: efficient). I ended up using OpenCV and going with simple thresholding, SURF keypoints and FLANN matching with a uniqueness test to determine that multiple keypoints in the training image weren't being singularly matched in the testing image.
First, I extract the different images from the slide above, then I threshold them and the ghost template to find objects that are that color. Next, I extract feature points and descriptors from the test image and the template using SURF and match them using FLANN. I only use the "best" matches using a distance metric and then check all the matches for uniqueness to verify one feature in the template isn't matching most of the test features. If the uniqueness is high enough and enough features are found, we call it a ghost.
With very little effort, my code was able to "find the ghost" in the above example with 100% accuracy. I'm not saying it is perfect, far from it. I'm just saying that if it takes someone less than an hour to train a computer to break an example of your human verification system, you are doing something wrong. There are a ton of ways to do this using computer vision, all of them quick and effective. It's a numbers game with computers and Snapchat's verification system is losing.
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