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Hunchly is a tool to capture and organize online data for your investigations. Requires the Hunchly app (https://www.hunch.ly) - Never take a screenshot again! Hunchly captures the web content you visit automatically, and makes it much easier to stay organized. - Stay focused on what matters - the investigation! Hunchly works quietly in the background, and with the blacklist and capture toggle, you can make sure you're only capturing what you need. - Page you saw got taken down? No probblem! Hunchly makes highly accurate offline copies in case the page you visited gets taken down or changed. - Protect against tampering! Every page, image, and attachment in Hunchly is given a unique fingerprint ("hash") at capture.
RevEye Reverse Image Search
Perform a search by image. Choose between the image search engines Google, Bing, Yandex, TinEye, or user-defined engines. This extension allows to perform an inverse image search by right-clicking onto any image in a web site. You can configure the context menu to contain either a single button with your default search engine, or a cascaded menu with all included search engines. You can also add custom search engines through the options menu. RevEye is free and open source software. To minimize its memory footprint in your browser, it is written in pure vanilla JavaScript and it does not use any of the fancy JavaScript frameworks. RevEye does not track any of your data, and it does not include ads. Source code and more info: https://github.com/steven2358/reveye Changelog: - v2.0.0 (2024-08-30): Updated to manifest v3. Added option to add custom search engines. Refactored code. - v1.5.2 (2022-11-13): Replaced Google Image Search by Google Lens. - v1.5.1 (2021-01-19): Fixed a bug in upgrade/initialization script. - v1.5.0 (2021-01-18): Add checkboxes to enable/disable individual search engines. Removed Baidu (for now). - v1.4.8 (2020-11-24): Fixed Yandex search. - v1.4.7 (2019-06-14): Removed unnecessary permissions. - v1.4.6 (2019-06-14): Fixed Yandex search. - v1.4.5 (2017-07-23): Fixed Baidu search. - v1.4.4 (2015-05-20): Re-included Yandex and Baidu search. - v1.4.3 (2015-05-19): Included Bing image match. - v1.4 (2013-06-28): Performed security changes and updated manifest to v2. Removed Yandex, Baidu, Cydral. - v1.3 (2011-06-17): Included Google (brand new and kicking), Yandex and Baidu image search engines. Removed GazoPa as they discontinued their B2C service. - v1.2 (2011-05-30): Name change to comply with Google's branding policies. Added Cydral search engine. Added option to choose between default engine or cascaded submenu. - v1.1 (2011-03-01): Added option to select between TinEye and GazoPa search engines. - v1.0 (2010-03-02): Added context menu. - v0.2 (2009-12-14): Included new logo. - v0.1 (2009-12-13): Initial version. Performs reverse image search of all images on a page using TinEye.
Fake news debunker InVID WeVerify VeraAI
InVID WeVerify VeraAI extension This plugin has been designed as a verification “Swiss army knife” helping journalists, fact-checkers, and human rights defenders to save time and be more efficient in their fact-checking and debunking tasks on social networks especially when verifying videos and images. This browser extension was enriched with new tools, developed within the Horizon EU research and innovation action vera.ai (2022-2025; https://veraai.eu/). In 2021, the plugin won a US Paris Tech challenge first prize award granted by the US Department Global Engagement Center (GEC). For the Poynter Institute, home of the International Fact-Checking Network (IFCN), it is "one of the most powerful tools for spotting misinformation online". This toolbox allows you to quickly get contextual information on Facebook and Twitter images and videos, as well as on Youtube videos, to perform reverse image search on several engines, to query the new Database of Known Fakes (DBKF), to fragment videos from various platforms (Facebook, Instagram, Youtube, Twitter, Daily Motion) into keyframes, to enhance and explore keyframes and images through a magnifying lens, to query Twitter more efficiently through time intervals and through a new Social Network Analysis module, to read video and image metadata, to check the video copyrights, to quickly search for fact checks or cross-network queries, and to apply a new enhanced forensic toolbox on images suspected of being manipulated. Another new forensic module, CheckGIF made in the EnVisu4 IFCN project, allows you to create a GIF between a manipulated image and an original one to better reveal the manipulation. New beta tools, for registered users, include a synthetic image detector from vera.ai project and an audio voice cloning detector provided by the US company Hiya.com after acquisition of the Spanish startup Loccus. An assistant feature will help you to find which tool can be used to support your verification work. The plugin is currently provided in English, French, Spanish, Greek, Arabic, Italian, German, Japanese, Portuguese (Brazil) and Hungarian language. A demo and a classroom section provide examples of manipulated images or videos together with explanations and media literacy tools and tips about the information verification process, for teachers and scholars. New tools developed in the IFCN DisinfoArchiving project (2024-2025) allow you (upon registration) to better archive traces of disinformation using the WACZ format (Web Archive Collection Zipped). A feedback button is available directly in the interface. Thanks to use it to report any bug, any issue (providing the link of the media to be checked), or any improvement suggestion, in this way. We welcome and need your feedback. Thank you. The plugin respects your privacy and no personal data is recorded. Caching of content is used by various partner tools for about one day to significantly improve UX. We use Matomo to better understand usage but you can opt out if you wish so (from the checkbox at the bottom of the About page). Some features (Twitter SNA, CheckGIF, GIF export on forensic toolkit) are reserved to fact-checkers, journalists and researchers due to the high demanding computer power needed and to avoid misuse. All versions of the plugin has been developed so far by AFP Medialab R&D through three EU-funded research projects and underlying web services provided by scientific partners. It was initially launched in July 2017 during the InVID European project, a EU Horizon 2020 innovation action (grant agreement 687786; https://www.invid-project.eu ; @InVID_EU). Then, it was enhanced with more tools during the EU Horizon 2020 WeVerify project (grant agreement 825297; https://weverify.eu/ @WeVerify). Currently, the plugin is part of the Horizon vera.ai project (Grant Agreement 101070093; https://twitter.com/veraai_eu) aiming to use artificial intelligence versus disinformation. Existing tools using AI will be enhanced and new tools will be co-created with end-users. Disclaimer: this software is provided "as is", without warranty of any kind, express or implied, including but not limited to the warranties of merchantability, fitness for a particular purpose and non infringement. In no event shall the authors or copyright holders be liable for any claim, damages or other liability, whether in an action of contract, tort or otherwise, arising from, out of or in connection with the software or the use or other dealings in the software.
Mitaka
A browser extension for searching IP, domain, URL, hash, etc. via the context menu. Mitaka is a browser extension for searching IP, domain, URL, hash, etc. via the context menu. This extension can: - Extract & refang IoC from a selected block of text. -- e.g. example[.]com to example.com, test[at]example.com to test@example.com, hxxp://example.com to http://example.com, etc. - Search / scan it on various engines. -- e.g. VirusTotal, urlscan.io, Censys, Shodan, etc. See https://github.com/ninoseki/mitaka for more details.
CrowdScrape
Scrape web content for indicators of interest and integrate CrowdStrike Intelligence information The CrowdStrike Intelligence Team is proud to announce the release of CrowdScrape version 1.5.0. CrowdScrape is a Chrome Plugin designed to allow you to be able to scrape indicators from various websites and in-browser documents such as PDF reports while matching the data up against CrowdStrike Intelligence. This release provides bug fixes and enables support for customers in all cloud environments, and includes support for the OAuth2-based Intel API, which has replaced the deprecated legacy key-based APIs (see https://falcon.crowdstrike.com/support/documentation for further information on our API). This easy to use tool produces indicator lists that collect: · Domain, IP addresses, URLs, hashes (MD5, SHA1, SHA256) and Bitcoin addresses · On-Screen Tagging of CrowdStrike known indicators, and links to Indicator Search · Matches to CrowdStrike Intelligence with links to reports in CrowdStrike Intel Portal · Integrations with the CrowdStrike Indicator Graph to visualise intelligence In addition, you can use CrowdScrape to copy any indicators to clipboard making it easier to pull OSINT from different sources and converting this to a text file for implementation into your systems.