Recommended Posts

WIRED EQUIVALENT PRIVACY (WEP) a wireless security measure

hi, I need to try and find more information on WEP I am doing a project (1 of many ) and i need to learn everything I can about WEP ... in extreme detail .. I need to see how and why it is so easily exploited with detailed explanations (I dont need to know how to hack it...just making that clear)

any help will be great..

once again to be clear (just so admins know) I am not asking how to hack a WEP I am asking about the wifi encryption standard and details on the know exploits .. for example, when a key is being obtained handshakes and arps are exchanged ... why? how? what is then done with the information? etc

Link to comment
https://www.neowin.net/forum/topic/1139420-i-need-information-on-wep/
Share on other sites

Join a college/university that subscribes and you'll get it free.

I will get it from my uni then they should have it

You don't learn (and actually understand) that stuff in "extreme" detail in a short amount of time. It's like saying you want to know physical chemistry but don't want to get bogged down with all those orbital shapes and baryons and stuff. To get a solid understanding is going to take some real work so maybe you want to scale back a bit.

I Know I say in my post I need to know everything ... its more... I need access to everything but I know specifically what I am looking for :p its just to long to google search it and I was just coming here for sources or someone with an expert knowledge... I have read your post and will take your points on .... I am going to start ... there is a couple of issues with wep that I will be directly addressing for a program I am writing ... simple OPN WEP to start with then eventually moving on untill my program has all aspects of WEP security down..

Have a listen. This is from Security Now #89

Even More Badly Broken WEP

Leo and I review the operation of wireless network security and discuss in detail the operation of the latest attack on the increasingly insecure WEP encryption system. This new technique allows any WEP-protected WiFi network's secret cryptographic key to be discovered in less than 60 seconds.

http://www.grc.com/sn/past/2007.htm

http://media.grc.com/sn/sn-089.mp3

Kinda the opposite of RTFM: the FM tells you how it's supposed to work and how to build an implementation. It doesn't tell you why an implementation is weak (if it did, we'd never have used it). I went for more of a "read the bug reports and patch notes" recommendation.

[/color]

It sounds more like you don't really care about how or why WEP is weak - that's going to be a discussion for math or comp-sci nerds who like to use lots of letters and symbols when they talk about things. You sound like you're more interested in the steps necessary to exploit a vulnerability.

Consider two imaginary descriptions of a weakness in some piece of cryptographic software:

  • Algorithm X has a bias in byte 3 that makes it 1/2^384 % more likely to return 0 than any other a-bit sequence. You can use that to discover 1 bit of key information in time 2^56 with 95% probability. (1.5 assloads of math and stats follow here. Lots of brackets and letters)
  • Capture 300,000 packets, then compute byte 5 + byte 9 xor byte 3 for each packet. Count how many times you get 1, 2,3,4,5,? as a result of that calculation and store the the number of times for each value. If a value occurs twice as often as any other number then there is a 95% chance that bit 4 of that value is bit #7 in the key. if you get { 1= 953, 2=888, 3=1,965, 3=1,001, 4=920? } then there's a good chance that the 7th bit in the key is 0 (because 3 occurs most often, 3dec = 0b0000011, so bit #4 is 0, so bit #7 of the key is probably 0). You can use this new information about the key + new packets + different calculations to determine the value of more bits in the key.

The first answer is what you'll get out of comp-sci text books and papers. It's the "real understanding" of why WEP is weak. You will see bits of the second in research papers but its typically a mathematical description rather than an algorithm. If you're not a huge math nerd it's going to be somewhat difficult to convert that into a useful algorithm. On the plus side, you know why those algorithms work.

If you prefer the second kind of answer then you're probably best off just reading the source code for a tool like aircrack-ng or metasploit. It won't give you an understanding about why the code works, but you will understand how to use it. The second is saying "you can perform a statistical attack" but it hand-waves passed the details about why particular data is used or exactly how it reveals particular bits of key information (why byte 5+9 and not 7+6? why do we get the bit in the key at postion 7 instead of 3? why do we need 300k packets and not 3m or 300?). If you don't really care why it works then reading the source code is the quickest way to enlightenment.

you are half right :p while I am looking as to how its exploited (i am not looking to exploit it with a program like aircrack and aireplay I want to know what these programs do to exploit it) but I feel I should have an understanding of the math as well but not to a massive indepth level to the point that I can write a book my self :p

This topic is now closed to further replies.
  • Recently Browsing   0 members

    • No registered users viewing this page.
  • Posts

    • As I've been usually saying lately - we all can thank "AI" for this.
    • Friday Windows 11 preview builds are here. Insiders in the Experimental (formerly Dev) and Beta Channel can download builds 26300.8697 and 26220.8690. My Windows11 device on the Preview Channel just got 26220.8728. My guess is this build is a nightly update from 26220.8690.
    • Traffic has a surprisingly unexpected impact on your surroundings by Sayan Sen Image by Radik 2707 via Pexels A collaborative study by researchers from several Israeli institutions found that everyday pollution from traffic and industrial activity measurably changed the atmospheric electric field over the Tel Aviv metropolitan area, providing new evidence of how human activity can influence the lower atmosphere. The research was led by Dr. Roy Yaniv of the Hebrew University of Jerusalem and the Gertner Institute at Sheba Medical Center, Dr. Assaf Hochman of the Fredy & Nadine Herrmann Institute of Earth Sciences at the Hebrew University, and Prof. Yoav Yair of Reichman University. The study also involved Itay Froomer, a student from Hadera High School and the Israeli Museum of Medicine and Science (Technoda), who carried out the work as part of the Ministry of Education's 5-unit physics research track. The researchers focused on the atmospheric electric field under fair-weather conditions. Even in the absence of storms, a weak electric field naturally exists between Earth's surface and the atmosphere. One of the main ways scientists measure this field is through the Potential Gradient (PG), which is the inverse of the vertical component of the electric field. PG is a key part of the global electric circuit, a planet-wide system of electrical currents maintained by thunderstorms and electrified clouds around the world. Scientists have long known that the atmospheric electric field can be influenced by factors ranging from large-scale atmospheric processes to local weather conditions such as dust, fog and clouds. Human-made pollution is also known to play a role, but understanding exactly how urban emissions affect the electric field close to the ground has remained an area of ongoing research. To investigate this relationship, the team analyzed measurements from a newly installed electric field mill, an instrument used to continuously monitor the strength of the atmospheric electric field. The instrument was installed at the Center for Technological Education (Roter House) in Holon and became operational in August 2024. It was funded by Israel's Ministry of Education and the Holon municipality. The electric field mill forms part of a broader monitoring network that includes nearby meteorological stations and air-quality monitoring sites. This allowed researchers to compare electric field measurements with detailed weather data and pollution records to better understand what was driving changes in the Potential Gradient. The study focused on two major urban pollutants: fine particulate matter (PM2.5) and nitrogen oxides (NOx), both commonly produced by vehicle traffic and industrial activity. PM2.5 refers to microscopic airborne particles small enough to remain suspended in the atmosphere for extended periods, while NOx is a group of gases released during fuel combustion. Researchers examined daily, weekly and seasonal patterns in the atmospheric electric field and compared them with changes in pollutant concentrations. Their analysis revealed a clear relationship between NOx levels and changes in the Potential Gradient, particularly during morning and evening rush hours when traffic emissions were at their highest. “What we observe is a direct physical link between emission peaks and electrical variability,” explained Dr. Roy Yaniv. “NOx reduces atmospheric conductivity very quickly, so the electric field responds almost instantaneously during traffic rush hours.” Atmospheric conductivity describes how easily electrical charges move through the air. According to the researchers, nitrogen oxides rapidly alter this conductivity, causing a near-immediate response in the electric field. PM2.5, however, was associated with a delayed response. The researchers attributed this difference to the particles' longer atmospheric residence time, meaning they remain in the atmosphere for longer periods, as well as their different microphysical interactions with surrounding air and atmospheric components. The study also identified a pronounced "weekend effect." In Israel, traffic volumes and some industrial activity decline significantly on Fridays and Saturdays. During these periods, concentrations of both NOx and PM2.5 dropped, and corresponding changes were observed in the atmospheric electric field. “The weekend signal demonstrates just how sensitive the electric field is to changes in human activity,” the researchers noted. “When emissions decline, the electrical environment adjusts at once, providing a high-resolution indicator of urban atmospheric conditions.” The findings showed that pollution levels can influence not only the chemical composition of the atmosphere but also its electrical properties. Researchers said the results strengthened the case for using atmospheric electricity as an additional tool for environmental monitoring, particularly in densely populated urban areas where anthropogenic, or human-caused, influences are most pronounced. The study also pointed to potential public health applications. By combining air-quality measurements with observations of atmospheric electricity, researchers said they could gain a more complete picture of how urban atmospheric conditions change over time. “Integrating air-quality data with electric-field measurements gives us a clearer picture of how the lower atmosphere evolves moment by moment,” the researchers added. “It’s a framework that can support both scientific insight and practical environmental decision-making.” Beyond the scientific findings, the project highlighted a collaboration between universities, public institutions and secondary education. Researchers said the work demonstrated how students could take part in real-world environmental research while contributing to studies of air quality, atmospheric processes and their potential effects on society. Source: Hebrew University, ScienceDirect This article was generated with some help from AI and reviewed by an editor. Under Section 107 of the Copyright Act 1976, this material is used for the purpose of news reporting. Fair use is a use permitted by copyright statute that might otherwise be infringing
    • We aren't even at the all-star game and Microsoft is talking about an update that will most likely be released during the World Series if not after. A lot can happen in the world between now and the 2026 World Series, including the 2026 FIFA Cup. Tell me about it again after the FIFA Cup is concluded. That should allow plenty of time to prepare for it.
    • Great, tell me when I have a "Bad Pool Caller" elsewhere not in Windoze.
  • Recent Achievements

    • Week One Done
      AMV earned a badge
      Week One Done
    • One Month Later
      AMV earned a badge
      One Month Later
    • Collaborator
      ryansurfer98 went up a rank
      Collaborator
    • One Month Later
      Eurosoft10 earned a badge
      One Month Later
    • Week One Done
      Eurosoft10 earned a badge
      Week One Done
  • Popular Contributors

    1. 1
      +primortal
      542
    2. 2
      +Edouard
      186
    3. 3
      Michael Scrip
      77
    4. 4
      PsYcHoKiLLa
      77
    5. 5
      Steven P.
      71
  • Tell a friend

    Love Neowin? Tell a friend!