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Wepdecrypt v0.7
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Hits: 171 |
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Date added: 01/24/2006 |
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About WepDecrypt:
Wepdecrypt is a Wireless LAN Tool written in c which guesses WEP Keys based on a active dictionary attack, key generator, distributed network attack and some other methods, it's based on wepattack and GPL licensed.
WepDecrypt highlights:
- Implemented packet filters.
- Only one crypted packet is enough to start cracking
- Has its own key generator.
- Can crack a dumpfile over a network.
- Can act as a server and client.
- Has an fltk gui.
Manual:
http://wepdecrypt.sourceforge.net/wepdecrypt-manual.html |
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WepLab v0.1.5
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Hits: 137 |
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Date added: 07/29/2005 |
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Weplab is a tool to review the security of WEP encryption in wireless networks from an educational point of view. Several attacks are available, so it can measure the effectiveness and minimum requirements of each one. Currently, weplab supports several methods, and it is able to crack the WEP key from 600,000 encrypted packets. |
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WepWedgie 0.1
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Hits: 136 |
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Date added: 09/13/2005 |
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WEPCrack is a tool that cracks 802.11 WEP encryption keys using the latest discovered weakness of RC4 key scheduling. WEPWedgie is a toolkit for determining 802.11 WEP keystreams and injecting traffic with known keystreams. The toolkit also includes logic for firewall rule mapping, pingscanning, and portscanning via the injection channel and a cellular modem |
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Network Chemistry RogueScanner
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Hits: 118 |
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Date added: 12/17/2006 |
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Network Chemistry RogueScanner
RogueScanner works using collaborative classification. Classification decisions are made by a central server which learns based on previous classifications it has performed. This means that classification accuracy will improve over time.
If RogueScanner doesn't classify your devices accurately the first time you run it, don't despair. Run it again in a few days and you should see more accurate results.
RogueScanner collects information from devices on your network (which we call evidence) and uses this evidence to make classification decisions. The evidence collected includes:
* The IP address and MAC address.
* What TCP and UDP ports are open.
* How the device responds to common network requests like a serving a web-page, telnet or SNMP.
* The DNS or Netbios name used by the device.
This information is sent to the classification server over an SSL encrypted link. No identifying information is stored by the server. For example, it doesn't store the request IP address together with the evidence. |
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WifiZoo
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Hits: 117 |
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Date added: 10/02/2007 |
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WifiZoo is a tool to gather wifi information passively. Hernan wanted to do something wifi-related somewhat helpful in wifi pentesting and Hernan did this just to have fun after he discovered 'Ferret' from Errata Security. Hernan knows neither Ferret or WifiZoo do anything spectacular, but he thought that the idea was fun/useful anyways.
Hernan basically wanted something that he could run and tried by itself to get info from open wifi networks (and possibly encrypted also in the future, at least with WEP) without joining any network, and covering all wifi channels, and this is what he came up with so far. Its written in python, can modified easily, and it fulfills its not-very-ambitious purpose. Kudos to scapy for doing pretty much all the packet parsing for me (scapy is great). |
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