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Revue de presse francophone :
- Appaloosa AppDome nouent un partenariat pour accompagner les entreprises dans le déploiement et la protection des applications mobiles
- D-Link offre une avec un routeur VPN sans fil AC
- 19 mai Paris Petit-Déjeuner Coreye Développer son business à l'abri des cyberattaques
- POYNTING PRESENTE LA NOUVELLE ANTENNE OMNI-291, SPECIALE MILIEU MARITIME, CÔTIER ET MILIEU HUMIDE
- Flexera Software Les utilisateurs français de PC progressent dans l'application de correctifs logiciels, mais des défis de tailles subsistent
- Riverbed lance SD-WAN basé sur le cloud
- Fujitsu multi-récompensé VMware lui décerne plusieurs Partner Innovation Awards à l'occasion du Partner Leadership Summit
- Zscaler Private Access sécuriser l'accès à distance en supprimant les risques inhérents aux réseaux privés virtuels
- QNAP annonce la sortie de QTS 4.2.1
- Une enquête réalisée par la société de cyber sécurité F-Secure a décelé des milliers de vulnérabilités graves, potentiellement utilisables par des cyber criminels pour infiltrer l'infrastru
- Trouver le juste équilibre entre une infrastructure dédiée et cloud le dilemme de la distribution numérique
- 3 juin - Fleurance - Cybersécurité Territoires
- Cyber-assurances Seules 40 pourcents des entreprises françaises sont couvertes contre les violations de sécurité et les pertes de données
- Des étudiants de l'ESIEA inventent CheckMyHTTPS un logiciel qui vérifie que vos connexions WEB sécurisées ne sont pas interceptées
- Les produits OmniSwitch d'Alcatel-Lucent Enterprise ALE gagnent en sécurité pour lutter contre les cyber-attaques modernes

Dernier articles de SecuObs :
- DIP, solution de partage d'informations automatisée
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- Renaud Bidou (Deny All): "L'innovation dans le domaine des WAFs s'oriente vers plus de bon sens et d'intelligence, plus de flexibilité et plus d'ergonomie"
- Mises à jour en perspective pour le système Vigik
- Les russes ont-ils pwn le système AEGIS ?
- Le ministère de l'intérieur censure une conférence au Canada
- Saut d'air gap, audit de firmware et (in)sécurité mobile au programme de Cansecwest 2014
- GCHQ: Le JTRIG torpille Anonymous qui torpille le JTRIG (ou pas)
- #FIC2014: Entrée en territoire inconnu
- Le Sénat investit dans les monnaies virtuelles

Revue de presse internationale :
- VEHICLE CYBERSECURITY DOT and Industry Have Efforts Under Way, but DOT Needs to Define Its Role in Responding to a Real-world Attack
- Demand letter served on poll body over disastrous Comeleak breach
- The Minimin Aims To Be The Simplest Theremin
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- Hacker With Victims in 100 Nations Gets 7 Years in Prison
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- 2016 Hack Miami Conference May 13-15, 2016
- 8-bit Video Wall Made From 160 Gaming Keyboards
- In An Era Of Decline, News Sites Can t Afford Poor Web Performance
- BeautifulPeople.com experiences data breach 1m affected
- Swedish Air Space Infringed, Aircraft Not Required
- Why cybercriminals attack healthcare more than any other industry
- Setting the Benchmark in the Network Security Forensics Industry

Annuaire des videos
- FUZZING ON LINE PART THREE
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- install zeus botnet
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Revue Twitter
- RT @fpalumbo: Cisco consistently leading the way ? buys vCider to boost its distributed cloud vision #CiscoONE
- @mckeay Looks odd... not much to go on (prob some slideshow/vid app under Linux)
- [SuggestedReading] Using the HTML5 Fullscreen API for Phishing Attacks
- RT @BrianHonan: Our problems are not technical but cultural. OWASP top 10 has not changed over the years @joshcorman #RSAC
- RT @mikko: Wow. Apple kernels actually have a function called PE_i_can_has_debugger:
- [Blog Spam] Metasploit and PowerShell payloads
- PinkiePie Strikes Again, Compromises Google Chrome in Pwnium Contest at Hack in the Box: For the second time thi...
- @mikko @fslabs y'all wldn't happen to have lat/long data sets for other botnets, wld you? Doing some research (free/open info rls when done)
- RT @nickhacks: Want to crash a remote host running Snow Leopard? Just use: nmap -P0 -6 --script=targets-ipv6-multicast-mld #wishiwaskidding
- An inexpensive proxy service called is actually a front for #malware distribution -

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Top bi-hebdo des articles de SecuObs
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Top bi-hebdo de la revue Twitter
- RT @secureideas: I believe that all the XSS flaws announced are fixed in CVS. Will test again tomorrow if so, release 1.4.3. #BASESnort
- Currently, we do not support 100% of the advanced PDF features found in Adobe Reader... At least that's a good idea.
- VPN (google): German Foreign Office Selects Orange Business for Terrestrial Wide: Full
- @DisK0nn3cT Not really, mostly permission issues/info leak...they've had a couple of XSS vulns but nothing direct.
- Swatting phreaker swatted and heading to jail: A 19-year-old American has been sentenced to eleven years in pris..
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Associating an identity with HTTP requests - a Burp extension

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Associating an identity with HTTP requests - a Burp extension

Par SensePost Blog
Le [2014-06-05] à 18:19:55



Présentation : This is a tool that I have wanted to build for at least 5 years. Checking my archives, the earliest reference I can find is almost exactly 5 years ago, and I've been thinking about it for longer, I'm sure. Finally it has made it out of my head, and into the real world Be free Be free So, what does it do, and how does it do it The core idea for this tool comes from the realisation that, when reviewing how web applications work, it would help immensely to be able to know which user was actually making specific requests, rather than trying to just keep track of that information in your head or not at all . Once you have an identity associated with a request, that enables more powerful analysis of the requests which have been made. In particular, it allows the analyst to compare requests made by one user, to requests made by another user, even as those users log in and log out. There are various ways in which users can be authenticated to web applications, and this extension doesn't try to handle them all, not just yet, anyway. It does handle the most common case, though, which is forms-based auth, with cookie-based session identifiers. So, as a first step, it allows you to identify the log in action, extract the name of the user that is authenticating, and associate that identity with the session ID until it sees a log out action. Which is pretty useful in and of itself, I think. Who hasn't asked themselves, while reviewing a proxy history Now which user was I logged in as, when I made this request Or Where is that request that I made while logged in as 'admin' Associating an identity with the requests So, how does it do this Unfortunately, the plugin doesn't have AI, or a vast database of applications all captured for you, with details of how to identify logins and logouts. But it does have the ability to define a set of rules, so you can tell it how your app behaves. These rules can be reviewed and edited in the Options tab of the Identity extension. What sort of rules do we need Well, to start with, what constitutes a valid logon Typically, that may include something like A POST to a specified URL, that gets a 200 response without the text 'login failed' in it . And we need to know which form field contains the username. Oh, and the sessionid in use by the application, so that the next time we see a sessionid with the same value, we can link that same identity to that conversation as well. The easiest way to create the login rule is probably via the Http Proxy History tab. Just right click on a valid login request, and choose Identity - create login rule . It will automatically create a rule that matches the request method, request path, and the response status. Of course, you can customise it as you see fit, adding simple rules just one condition , or complex rules this AND that, this OR that , nested to arbitrary levels of complexity. And you can select the session id parameter name, and login parameter name on the Options tab as well. Awesome But how do we identify when the user logs out Well, we need a rule for that as well, obviously. This can often be a lot simpler to identify. An easy technique is just to look for the text of the login form If it is being displayed, you're very unlikely to be logged in, right That can also catch the cases where a session gets timed out, but for the moment, we have separate rules and states for logged out and timed out . That may not be strictly necessary, though. Again, these rules can be viewed and edited in the Options tab. Another easy way to create the logout rule is to select the relevant text in the response, right-click, and choose Identity - create logout rule . Sweet So now we can track a series of conversations from an anonymous user, through the login process, through the actions performed by the person who was logged in, through to the end of that session, whether by active logout, or by inactivity, and session timeout, back to an anonymous user. Most interestingly, though, by putting the conversations into a spreadsheet , and allowing you to create a pivot table of selected parameters vs the identity of the person making the request, it becomes possible to almost automate the testing of access control rules. This tool is not quite at the automated stage yet, but it does currently allow you to see which user has performed which actions, on which subject, which makes it almost trivial to see what each user is able to do, and then formulate tests for the other users. You can also see which tests you have executed, as the various cells in the pivot table start filling up. Pivoting requests against the user In this screenshot, we are pivoting on the path of the URL, the method GET vs POST , and then a bunch of parameters. In this application WordPress, just for demonstration purposes , we want the action parameter, as well as the parameter identifying the blog post being operated on. The action parameter can appear in the URL, or in the Body of the request, and the post parameter in the URL identifies the blog post, but it is called post_ID in the body. It might be handy to be able to link different parameters that mean the same thing, for future development . The resulting table creates rows for each unique parameter combination, exactly as one would expect in an Excel pivot table. Clicking on each cell allows you to get a list of all the conversations made by that userid, with the specific combination of parameters and values, regardless of the number of times that they had logged in and out, or how many times their session id changed. Clicking on each conversation in the list brings up the conversation details in the request response windows at the bottom, so you can check the minutiae, and if desired, right-click and send them to the repeater for replay. So far, the approach has been to manually copy and paste the session cookie for a different user into the repeater window before replaying the request, but this is definitely something that lends itself to automation. A future development will have an option to select current session tokens for identified users, and substitute those in the request before replaying it. So far, so good But, since the point of this extension is to check access controls, we'd ideally like to be able to say whether the replayed request was successful or not, right There's a rule for that Or there could be, if you defined them By defining rules that identify successful requests vs failed requests, conversations can be tagged as successful or not, making it easier to see when reviewing lists of several conversations. Future development is intended to bring that data up into the pivot table too, possibly by means of colouring the cells based on the status of the conversations that match. That could end up showing a coloured matrix of successful requests for authorised users, and unsuccessful requests for unauthorised users, which, ultimately, is exactly what we want. We'd love to hear how you get on with using this, or if you have any feature requests for the plugin. For now, the BurpId plugin is available here.

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