webscreenshot.py | A Simple script that aids in testing large websites

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Web Screenshot – webscreenshot.py is a great tool which comes in handy when a penetration tester needs to quickly identify potential vulnerabilities on a massive website.

Installation and usage

The installation is a straight forward process, you just have to clone the github repository:

The usage is as simple as providing the -i option with an input file with url-s – one url per line:

python3 webscreenshot.py -i input

The following picture shows how simple and effective the use of webscreenshot is:

Final thoughts

This tool is really helpful for any bug bounty hunter or web application penetration tester who deals with a large domain or multiple domains with thousands of urls. The first entry point on red teaming engagements can be found easily sometimes due to the possibility to view all the pages in a gallery which is much faster than browsing the pages one by one.

The tool also has a nice support for cookies, headers, proxies which is the reason I give 4/5 bunnies for this tool:

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Please note that the article you are reading has an unallocated author as the original author is no longer employed at latesthackingnews.com, this has been put in place to adhere with general data protection regulations (GDPR). If you have any further queries, please contact: [email protected]

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Privacy Preference Center

Necessary

The __cfduid cookie is used to identify individual clients behind a shared IP address and apply security settings on a per-client basis.

cookie_notice_accepted and gdpr[allowed_cookies] are used to identify the choices made from the user regarding cookie consent.

For example, if a visitor is in a coffee shop where there may be several infected machines, but the specific visitor's machine is trusted (for example, because they completed a challenge within your Challenge Passage period), the cookie allows Cloudflare to identify that client and not challenge them again. It does not correspond to any user ID in your web application, and does not store any personally identifiable information.

__cfduid, cookie_notice_accepted, gdpr[allowed_cookies]

Advertising

DoubleClick by Google refers to the DoubleClick Digital Marketing platform which is a separate division within Google. This is Google’s most advanced advertising tools set, which includes five interconnected platform components.

DoubleClick Campaign Manager: the ad-serving platform, called an Ad Server, that delivers ads to your customers and measures all online advertising, even across screens and channels.

DoubleClick Bid Manager – the programmatic bidding platform for bidding on high-quality ad inventory from more than 47 ad marketplaces including Google Display Network.

DoubleClick Ad Exchange: the world’s largest ad marketplace for purchasing display, video, mobile, Search and even Facebook inventory.

DoubleClick Search: is more powerful than AdWords and used for purchasing search ads across Google, Yahoo, and Bing.

DoubleClick Creative Solutions: for designing, delivering and measuring rich media (video) ads, interactive and expandable ads.

doubleclick

Analytics

The _ga is asssociated with Google Universal Analytics - which is a significant update to Google's more commonly used analytics service. This cookie is used to distinguish unique users by assigning a randomly generated number as a client identifier. It is included in each page request in a site and used to calculate visitor, session and campaign data for the sites analytics reports. By default it is set to expire after 2 years, although this is customisable by website owners.

The _gat global object is used to create and retrieve tracker objects, from which all other methods are invoked. Therefore the methods in this list should be run only off a tracker object created using the _gat global variable. All other methods should be called using the _gaq global object for asynchronous tracking.

_gid works as a user navigates between web pages, they can use the gtag.js tagging library to record information about the page the user has seen (for example, the page's URL) in Google Analytics. The gtag.js tagging library uses HTTP Cookies to "remember" the user's previous interactions with the web pages.

_ga, _gat, _gid