World of Darkness is a world of supernatural horror and intrigue hidden in plain sight. Here, vampires, werewolves, and many other creatures live among us, concealed in the shadows.Learn more >>
In the package.json.bak you might have noticed the pinned dependency"sanitize-html": "1.4.2". Internet research will yield a reportedCross-site Scripting (XSS)vulnerability, which was fixed with version 1.4.3 - one release laterthan used by the Juice Shop. The referencedGitHub issueexplains the problem and gives an exploit example:
Each annotation track within the window may have up to five display modes: Hide: the track is not displayed at all. To hide all the annotation tracks, click the hide all button. This mode is useful for restricting the display to only those tracks in which you are interested. For example, someone who is not interested in SNPs or mouse synteny may want to hide these tracks to reduce track clutter and improve speed. There are a few annotation tracks that pertain only to one specific chromosome, e.g. Sanger22, Rosetta. In these cases, the track and its associated controller will be hidden automatically when the track window is not open to the relevant chromosome. Dense: the track is displayed with all features collapsed into a single line. This mode is useful for reducing the amount of space used by a track when you don't need individual line item details or when you just want to get an overall view of an annotation. For example, by opening an entire chromosome and setting the RefSeq Genes track to dense, you can get a feel for the known gene density of the chromosome without displaying excessive detail. Full: the track is displayed with each annotation feature on a separate line. It is recommended that you use this option sparingly, due to the large number of individual track items that may potentially align at the selected position. For example, hundreds of ESTs might align with a specified gene. When the number of lines within a requested track location exceeds 250, the track automatically defaults to a more tightly-packed display mode. In this situation, you can restore the track display to full mode by narrowing the chromosomal range displayed or by using a track filter to reduce the number of items displayed. On tracks that contain only hide, dense, and full modes, you can toggle between full and dense display modes by clicking on the track's center label. Squish: the track is displayed with each annotation feature shown separately, but at 50% the height of full mode. Features are unlabeled, and more than one may be drawn on the same line. This mode is useful for reducing the amount of space used by a track when you want to view a large number of individual features and get an overall view of an annotation. It is particularly good for displaying tracks in which a large number of features align to a particular section of a chromosome, e.g. EST tracks. Pack: the track is displayed with each annotation feature shown separately and labeled, but not necessarily displayed on a separate line. This mode is useful for reducing the amount of space used by a track when you want to view the large number of individual features allowed by squish mode, but need the labeling and display size provided by full mode. When the number of lines within the requested track location exceeds 250, the track automatically defaults to squish display mode. In this situation, you can restore the track display to pack mode by narrowing the chromosomal range displayed or by using a track filter to reduce the number of items displayed. To toggle between pack and full display modes, click on the track's center label. The track display controls are grouped into categories that reflect the type of data in the track,e.g., Gene Prediction Tracks, mRNA and EST tracks, etc. To change the display mode for a track, findthe track's controller in the Track Controls section at the bottom of the Genome Browser page,select the desired mode from the control's display menu, and then click the refresh button.Alternatively, you can change the display mode by using the Genome Browser'sright-click navigation feature, or can toggle between dense and fullmodes for a displayed track (or pack mode when available) by clicking on the optional center labelfor the track.
Some tools can easily embed hidden communications inside of images, audio files, and other files types. Still, one of the simplest and least suspicious ways to conceal secret messages is behind a layer of plain text.
The simplest way to use zero-width characters for steganography is by converting the plain text of a secret message into binary data. Then, that binary data is converted into a string of zero-width characters, which are then snuck into public-facing text. The hidden message remains invisible until extracted, where it's then converted back to binary data and then plain text.
Using Steganographr is a quick way to send plain text hidden behind visible plain text, but it's not the most secure option. The only security it has is that other people do not know there's hidden text masquerading as regular text. If they suspect anything, they can use a tool like Steganographr to decode the zero-width string to binary and then the hidden message.
To add one or more CodeQL query packs (beta), add a with: packs: entry within the uses: github/codeql-action/init@v2 section of the workflow. Within packs you specify one or more packages to use and, optionally, which version to download. Where you don't specify a version, the latest version is downloaded. If you want to use packages that are not publicly available, you need to set the GITHUB_TOKEN environment variable to a secret that has access to the packages. For more information, see "Authentication in a workflow" and "Encrypted secrets."
In the example below, scope is the organization or personal account that published the package. When the workflow runs, the four CodeQL query packs are downloaded from GitHub and the default queries or query suite for each pack run:
The package patterns in the registries list are examined in order, so you should generally place the most specific package patterns first. The values for token must be a personal access token (classic) generated by the GitHub instance you are downloading from with the read:packages permission.
A: Amazon WorkSpaces bundles that provide the Windows 10 desktop experience currently support English (US), French (Canadian), Korean, and Japanese. You can also download and install language packs for Windows directly from Microsoft. For more information, visit this page. Amazon WorkSpaces client applications currently support English (US), German, Chinese (Simplified), Japanese, French (Canadian), Korean, and Portuguese. 2b1af7f3a8