English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Sound-squatting is a phishing attack that tricks users into maliciousresources by exploiting similarities in the pronunciation of words. Proactivedefense against sound-squatting candidates is complex, and existing solutionsrely on manually curated lists of homophones. We here introduce Sound-skwatter,a multi-language AI-based system that generates sound-squatting candidates forproactive defense. Sound-skwatter relies on an innovative multi-modalcombination of Transformers Networks and acoustic models to learn soundsimilarities. We show that Sound-skwatter can automatically list knownhomophones and thousands of high-quality candidates. In addition, it coverscross-language sound-squatting, i.e., when the reader and the listener speakdifferent languages, supporting any combination of languages. We applySound-skwatter to network-centric phishing via squatted domain names. We find ~10% of the generated domains exist in the wild, the vast majority unknown toprotection solutions. Next, we show attacks on the PyPI package manager, where~ 17% of the popular packages have at least one existing candidate. We believeSound-skwatter is a crucial asset to mitigate the sound-squatting phenomenonproactively on the Internet. To increase its impact, we publish an online demoand release our models and code as open source.

Sound-skwatter (Did You Mean: Sound-squatter?) AI-powered Generator for Phishing Prevention