Alternating between typing the login credentials and typing characters somewhere else in the focus window [51] can cause a keylogger to record more information than it needs to, but this could be easily filtered out by an attacker. Similarly, a user can move their cursor using the mouse while typing, causing the logged keystrokes to be in the wrong order e. Lastly, someone can also use context menus to remove, cut, copy, and paste parts of the typed text without using the keyboard. An attacker who can capture only parts of a password will have a larger key space to attack if they choose to execute a brute-force attack.
Another very similar technique uses the fact that any selected text portion is replaced by the next key typed.
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These dummy characters could then be selected with the mouse, and the next character from the password "e" typed, which replaces the dummy characters "asdf". These techniques assume incorrectly that keystroke logging software cannot directly monitor the clipboard, the selected text in a form, or take a screenshot every time a keystroke or mouse click occurs. They may, however, be effective against some hardware keyloggers.
From Wikipedia, the free encyclopedia. Action of recording the keys struck on a keyboard. Main article: Hardware keylogger. Main article: Anti-keylogger. Main article: Form filler. ISSN Oxford dictionaries. Archived from the original on Retrieved PC Tools. Iviz Technosolutions. Archived from the original PDF on Threatpost The first stop for security news. Krebs on Security. Retrieved 26 April Lindgren Eds. Oxford: Elsevier. Berninger Ed. Spyware Loop. Archived from the original on 7 December Retrieved 27 July Digital Society.
Archived from the original on 26 August Retrieved 9 June SpyReveal Anti Keylogger. Archived from the original on 29 April Retrieved 25 April Retrieved 26 February IDG News Service. UC Berkeley NewsCenter. Vuagnoux, Martin; Pasini, Sylvain eds.
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Proceedings of the 18Th Usenix Security Symposium. A fast eavesdropping attack against touchscreens PDF. Proceedings of the 18th ACM conference on Computer and communications security. Retrieved August 25, ACCessory: password inference using accelerometers on smartphones. Practicality of accelerometer side channels on smartphones.
TouchLogger: inferring keystrokes on touch screen from smartphone motion PDF. Retrieved 25 August TapLogger: inferring user inputs on smartphone touchscreens using on-board motion sensors. Tapprints: your finger taps have fingerprints. Proceedings of the 10th international conference on Mobile systems, applications, and services.
Hakin9 IT Security Magazine. ISBN Cryptovirology: extortion-based security threats and countermeasures. CiteSeerX The Register. Windows Secrets. Microsoft Research. Malware topics. Comparison of computer viruses Computer virus Computer worm List of computer worms Timeline of computer viruses and worms. Anti-keylogger Antivirus software Browser security Data loss prevention software Defensive computing Firewall Internet security Intrusion detection system Mobile security Network security. Computer and network surveillance Honeypot Operation: Bot Roast.
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Wikimedia Commons has media related to Keystroke logging. Go to the "Wireshark" drop-down menu and select the "Preferences" option. Once selected, click on "Protocols. Select "wpa-psk" from the menu, and then paste in your key. Hit Tab , then save by clicking "OK. Once this is complete, click "OK" on the Preferences menu, and Wireshark should rescan all the captured packets and attempt to decrypt them.
This may not work for a variety of reasons. If it works, we can move on to the step of analyzing the traffic to pick out apps in use. Now that we have stripped away the protection around the traffic, Wireshark can decrypt them and tell us what the devices on this Wi-Fi network that we have handshakes for are doing in real time. To see interesting packets, we'll start with DNS requests. DNS requests are how apps make sure the IP addresses they are supposed to connect to haven't changed.
They'll be directed to domain names that usually have the name of the app in them, making it trivial to see which app is running on the iPhone or Android phone and making the requests.
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To see these requests, we'll be using two capture filters, dns and http , which will show us the most obvious fingerprints that an app leaves over Wi-Fi. First, type dns into the capture filter bar and hit Enter. If this doesn't work, try switching between a PSK and password a few times.
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It sucks, but sometimes it will start working. If your target is feeling lonely, you might see the response below. Tinder calls the Tindersparks. This request is one of the most obvious. While using Signal is a good idea, using it with a VPN is a better idea. The reason? Even opening Signal creates the exchange below, clearly identifying that the user is communicating with an encrypted messenger.
Below, we see the effect of opening Venmo, and app for transferring money. It seems like a good time to redirect this request elsewhere. Next up, we can see there are several insecure web requests by using the http capture filter. These capture filters contain information like the useragent, which will tell us the type of device that is connecting. We can examine this by clicking on the packets and expanding the "Hypertext Transfer Protocol" tab.
In this example, we can see insecure HTTP requests to a chat server.
What the heck is this? Merely examining the packet and resolving the domain gives us the answer right away. It's WeChat! This phone has WeChat installed, and further, the communications coming out of it are not entirely encrypted.
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If we want to see everything that was resolved, we can click on the "Statistics" menu tab and select "Resolved Addresses" to see all the domains that were resolved throughout the capture. This should be a laundry list of services the device is connecting to via the apps running on it. This kind of monitoring may seem invasive, but you should keep in mind that your internet service provider also keeps a log of this information and has the right to sell the information.
If you want to prevent this kind of snooping, you should get a VPN like Mullvad or PIA that allows you to hide even local traffic behind strong encryption. In a place where you might be doing something sensitive over a data connection, you should also consider using cellular data whenever possible to prevent this kind of attack.