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JSONP, or JSON-P (JSON with Padding), is a JavaScript technique for requesting data via the <script> HTML element. It was proposed by Bob Ippolito in 2005. JSONP enables sharing of data bypassing same-origin policy, which disallows running JavaScript code to read media DOM elements or XMLHttpRequest data fetched from outside the page's originating site.…
The analysis highlights History, Security concerns and Script element injection as prominent areas in the source structure around JSONP.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around JSONP shows recurring relationship patterns in the source. For example, JSONP → ActionScript, Adobe Flash Player, Adobe's, Alok Menghrajani, August, CVE, CVE-2014-5333, DEFLATE, Erling, Flash, Flash Player, GitHub, Google, Gábor Molnár, High-profile, Huffman, Instagram, JavaScript, July, LinkedIn Another extracted example is JSONP → Bob Ippolito, December, Dojo Toolkit, George Jempty, Google Web Toolkit, In July, JSON, The, Web. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
json script javascript data element cors server code response browser site request policy page html same-origin malicious sharing injection security
TTTA extracted 85 structured relationships around JSONP. Examples in this analysis include Google → instance of → High-profile sites and Dojo Toolkit → instance of → appears to have been made by Bob Ippolito in December 2005 and is now used by many Web 2.0 applications. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| instance of | High-profile sites | 0.80 | text | |
| YouTube | instance of | High-profile sites | 0.80 | text |
| instance of | High-profile sites | 0.80 | text | |
| Yahoo | instance of | High-profile sites | 0.80 | text |
| Dojo Toolkit | instance of | appears to have been made by Bob Ippolito in December 2005 and is now used by many Web 2.0 applications | 0.80 | text |
| Google Web Toolkit | instance of | appears to have been made by Bob Ippolito in December 2005 and is now used by many Web 2.0 applications | 0.80 | text |
| JSONP | related to Callback name manipulation and reflected file download attack | Unsanitized | 0.60 | section |
| JSONP | related to Callback name manipulation and reflected file download attack | RFD | 0.60 | section |
| JSONP | related to Callback name manipulation and reflected file download attack | Insecure JSONP | 0.60 | section |
| JSONP | related to Cross-site request forgery | Naive | 0.60 | section |
| JSONP | related to Cross-site request forgery | CSRF | 0.60 | section |
| JSONP | related to Cross-site request forgery | XSRF | 0.60 | section |
The concept neighborhoods around JSONP bring nearby vocabulary together. In this analysis, examples include Script, Element and Javascript. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For JSONP, one of the stronger structural bridges in this analysis connects JSONP with Security concerns. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around JSONP to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Security concerns & Script element injection, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — JSONP · EN edition · Analysis: TopicsToTalkAbout