Search results
Results From The WOW.Com Content Network
Barcode Scanner scanning a QR code. The application Barcode Scanner is an Android app, from the open-source project ZXing (short for Zebra Crossing), that allows an Android device with imaging hardware (a built-in camera) to scan barcodes or 2D barcodes and retrieve the data encoded. [2]
In addition to actively crawling and analyzing web sites, Norton Safe Web relies on feedback from users and Norton Community participants. When a drive-by download occurs at a web site, the suspicious URL is automatically reported to Norton Safe Web for analysis. The reported site is rated as unsafe if the analysis confirms that the download is ...
HCL AppScan (previously known as IBM AppScan) is a family of desktop and web security testing and monitoring tools, formerly a part of the Rational Software division of IBM.
The concepts of topical and focused crawling were first introduced by Filippo Menczer [20] [21] and by Soumen Chakrabarti et al. [22] The main problem in focused crawling is that in the context of a Web crawler, we would like to be able to predict the similarity of the text of a given page to the query before actually downloading the page.
A static code analysis solution with many integration options for the automated detection of complex security vulnerabilities. SAST Online: 2022-03-07 (1.1.0) No; proprietary — — Java — — — Kotlin, APK: Check the Android Source code thoroughly to uncover and address potential security concerns and vulnerabilities.
McAfee WebAdvisor, previously known as McAfee SiteAdvisor, is a service that reports on the safety of web sites by crawling the web and testing the sites it finds for malware and spam. A browser extension can show these ratings on hyperlinks such as on web search results. [1]
Googlebot is the web crawler software used by Google that collects documents from the web to build a searchable index for the Google Search engine. This name is actually used to refer to two different types of web crawlers: a desktop crawler (to simulate desktop users) and a mobile crawler (to simulate a mobile user).
There exists a few papers that systematically compare various model checkers on a common case study. The comparison usually discusses the modelling tradeoffs faced when using the input languages of each model checker, as well as the comparison of performances of the tools when verifying correctness properties. One can mention: