Tor onion site

The study is a collaboration between researchers Rebekah Overdorf1, Marc Juarez2, Gunes Acar2, Rachel Greenstadt1, Claudia Diaz2
1 Drexel University {rebekah.overdorf,rachel.a.greenstadt}@drexel.edu
2 imec-COSIC KU Leuven {marc.juarez, gunes.acar, claudia.diaz}@esat.kuleuven.be
Reference: R. Overdorf, M. Juarez, G. Acar, R. Greenstadt, C. Diaz. How Unique is Your.onion? An Analysis of the Fingerprintability of Tor Onion Services. In Proceedings of ACM Conference on Computer and Communications Security (CCS'17). ACM, Nov. 2017. (Forthcoming)Website fingerprinting моя attacks aim to uncover which web pages a target user visits. They apply supervised machine learning classifiers to network traffic traces to identify patterns новый that are unique to a web page. These attacks circumvent the protection afforded by encryption and the metadata protection of anonymity systems such as Tor.Website fingerprinting can be deployed как by adversaries with modest resources who have access to the communications between the user and their connection to the Internet, or on an anonymity system like Tor, the entry guard (see the figure below). There are many entities in a position to access this communication including wifi router owners, local network administrators or eavesdroppers, Internet Service Providers, and Autonomous Systems, among other network intermediaries.Prior studies typically report average performance results for a given website fingerprinting method or countermeasure. However, if you own a hidden service, you are more concerned with the security of your particular hidden service than how well an attack or defense works overall. If your site is naturally hidden against attacks, then you do not need to implement a defense. Conversely, your site may not be protected by a certain defense, despite the high overall protection of such defense.In this study, we try to answer the following two questions:Are some websites more fingerprintable than others?If so, what makes them more (or less) fingerprintable?Disparate impact of website fingerprintingWe have identified high variance in the results obtained by the website fingerprinting state-of-the-art attacks (i.e., k-NN, CUMUL and k-FP) across different onion websites: some sites (such as the ones in the table below) have higher identification rates than others and, thus, are more vulnerable to website fingerprinting.The table below shows the top five onion services ranked by number of misclassifications. We observe a partial overlap between the sites that are most misclassified across different classifiers. This indicates the errors of these classifiers are correlated to some extent. We looked into these classifications in more detail..onion URLTPFPFNF1k-NN4fouc...484660.05ykrxn...362670.04wiki5k...377670.04ezxjj...276680.03newsi...187690.01CUMULzehli...215680.054ewrw...229680.04harry...229680.04sqtlu...235680.04yiy4k...114690.02k-FPykrxn...462660.06ykrxn...342670.05wiki5...355670.05jq77m...254680.03newsi...263680.03
Analysis of classification errorsWe have analyzed the misclassifications of the three state-of-the-art classifiers. In the following Venn diagram, each circle represents the set of prediction errors for one of the classifiers. In the intersections of these circles are the instances that were incorrectly classified by the overlapping methods. 31% of the erred instances were misclassified by all three methods, suggesting strong correlation in the errors.We looked into the misclassifications that fall in the intersection among the three classifiers to understand what features make them be consistently misclassified.Misclassification graphConfusion graph for the CUMUL classifier drawn by Gephi software using the methodology explained in the paper. Nodes are colored based on the community they belong to, which is determined by the Louvain community detection algorithm. Node size is drawn proportional to the node degree, that is, bigger node means lower classification accuracy. We observe highly connected communities on the top left, and the right which suggests clusters of Hidden Services which are commonly confused as each other. Further, we notice several node pairs that are commonly classified as each other, forming ellipses.Network-level featuresIn the figure below we plot the instances that fall in the intersection of the misclassification areas of the attacks in the Venn diagram. In the x-axis we plot the normalized median incoming size of the true site and, in the y-axis, we show the same feature for the site that the instance was confused with.Total incoming packet size can be thought as the size of the site, as most traffic in a web page download is incoming.We see that the sizes of the true and the predicted sites in the misclassifications are strongly correlated, indicating that sites that were misclassified had similar sizes.At the same time, the high density of instances (see the histograms at the margins of the figure) shows that the vast majority of sites that were misclassified are small.Site-level featuresThe figure below shows the results of the site-level feature analysis using information gain as feature importance metric. We see that features associated with the size of the site give the highest information gain for determining fingerprintability when all the sites are considered. Among the smallest sites, which are generally less identifiable, we see that standard deviation features are also important, implying that sites that are more dynamic are harder to fingerprint.ConclusionsWe have studied what makes certain sites more or less vulnerable to the attack. We examine which types of features are common in sites vulnerable to website fingerprinting attacks. We also note that from the perspective of an onion service provider, overall accuracies do not matter, only whether a particular defense will protect their site and their users.Our results can guide the designers and operators of onion services as to how to make their own sites less easily fingerprintable and inform design decisions for countermeasures, in particular considering the results of our feature analyses and misclassifications. For example, we show that the larger sites are reliably more identifiable, while the hardest to identify tend to be small and dynamic.. This includes crawling infrastructure, modules for analysing browser profile data and crawl datasets.

Tor onion site - Правильная ссылка на hydra копировать

in a normal web browser like Chrome, Firefox, Safari, or Edge, you make a connection over the internet directly from your house (or wherever you happen to be) to the web server you’re loading. The website can see where you are coming from (and track you), and your internet service provider can see which website you’re loading (and track what you’re doing and sell advertising based on your activity).But if you open Tor Browser and load the same website, none of those parties can spy on you. Even Tor itself won’t know what you’re up to. Within the network, consisting of thousands of nodes run by volunteers across the internet, you do not connect from your house directly to the web server. Instead, your connection first bounces between three Tor nodes and then finally exits the Tor network and goes to the website. The website can’t see where you’re coming from, only that you’re using Tor. Your ISP can’t see what website you’re visiting, only that you’re using Tor. And the Tor nodes themselves can’t fully track you either. The first node can see your home IP address, because you connect directly to it, but can’t see what site you’re loading, and the last node (also called the exit node) can see what site you’re loading but doesn’t know your IP address.In short, Tor Browser makes it so people can load websites anonymously. Tor onion services do the same thing, except for websites themselves.Tor Onion Services Let Websites Themselves Be AnonymousSo what exactly is an onion service? Just like when people use Tor Browser to be anonymous, web servers can use Tor to host anonymous websites as well. Instead of using normal domain names, these websites end with “.onion”.If you load an onion site in Tor Browser, both you and the web server bounce encrypted data packets through the Tor network until you complete an anonymous connection, and no one can track anyone involved: Your ISP can only see that you’re using Tor, and the website’s ISP can only see that it’s using Tor. You can’t learn the website’s real IP address, and the website can’t learn yours either. And the Tor nodes themselves can’t spy on anything. All they can see is that two IP addresses are both using Tor.Onion services have another cool property: The connection never exits the Tor network, so there are no exit nodes involved. All the communication between Tor Browser and the web server happens in the dark.The Most Popular Site on the Dark WebWhen people hear about the “dark web,” they tend to think about shady things like drug markets and money laundering. That stuff is, in fact, facilitated by anonymous websites running Tor onion services, just as it’s facilitated by the normal, non-anonymous internet. But it’s not the only use of onion services by a long shot.The Intercept along with dozens of other newsrooms around the world, including pretty much every major news organization, run Tor onion sites for SecureDrop, a whistleblower submission platform. With The Intercept’s new onion service for readers of our website, we’ll also join the ranks of the New York Times, ProPublica, BuzzFeed News, The Markup, and other news organizations in making their core websites available as onion services.I also develop an open source tool called OnionShare which makes it simple for anyone to use onion services to share files, set up an anonymous drop box, host a simple website, or launch a temporary chat room.But, by far, the most popular website on the dark web is Facebook. Yup, Facebook has an onion service. For when you want some — but not too much — anonymity.

The Tor Project has released Tor Browser 11.0  with a new user interface design and the removal of support for V2 onion services.The Tor Browser is a customized version of Firefox ESR that allows users to browse the web anonymously and access special .onion domains only accessible via Tor.You can download the Tor Browser from the Tor Project site, and if you are an existing user, you can upgrade to the latest version by going to the Tor Menu > Help > About Tor Browser.Tor Browser 11.0Tor Browser 11 uses Firefox ESR 91, which brings an updated user interface containing new icons, a new toolbar, streamlined menus, dialogs, and an updated tabs interface.New Tor 11 icons
Source: Tor ProjectHowever, the most significant change is the deprecation of V2 onion services, meaning TOR URLs using short 16 character hostnames domains are no longer supported.When attempting to open a V2 onion service, Tor Browser will show users an "Invalid Onionsite Address" with an error code of 0xF6.V2 Onion services are no longer supported"Last year we announced that v2 onion services would be deprecated in late 2021, and since its 10.5 release Tor Browser has been busy warning users who visit v2 onion sites of their upcoming retirement," the Tor Project explained in the Tor Browser 11 release notes."At long last, that day has finally come. Since updating to Tor 0.4.6.8 v2 onion services are no longer reachable in Tor Browser, and users will receive an “Invalid Onion Site Address” error instead."With this change, Tor sites using V2 onion services will no longer be reachable, but admins can upgrade to a V3 onion service by adding the following lines to the torrc file.HiddenServiceDir /full/path/to/your/hs/v3/directory/HiddenServicePort :As with all releases, there are always known issues and bugs that users need to be aware.The known issues in Tor 11 are listed below:Bug 40668: DocumentFreezer & file schemeBug 40671: Fonts don't renderBug 40679: Missing features on first-time launch in esr91 on MacOSBug 40689: Change Blockchair Search provider's HTTP methodBug 40667: AV1 videos shows as corrupt files in Windows 8.1Bug 40677: Since the update to 11.0a9 some addons are inactive and need disabling-reenabling on each startBug 40666: Switching svg.disable affects NoScript settingsBug 40690: Browser chrome breaks when private browsing mode is turned offYou can download Tor 11.0 from the Tor Browser download page and the distribution directory.