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For whatever reason, the majority of the phony LinkedIn profiles reviewed by this author have involved young women with profile photos that appear to be generated by artificial intelligence (AI) tools. We’re seeing rapid advances in AI-based synthetic image generation technology and we’ve created a deep learning model to better catch profiles made with this technology. AI-based image generators can create an unlimited number of unique, high-quality profile photos that do not correspond to real people. Fake accounts sometimes use these convincing, AI-generated profile photos to make their fake LinkedIn profile appear more authentic.

Rust makes it impossible to introduce some of the most common security vulnerabilities. And its adoption can’t come soon enough.

We can bridge that gap by spreading the word about the opportunities, the requirements, and the many tools available to help applicants break into the field.

By Deeba Ahmed The OpenSSL vulnerability was first categorized as critical and later as a high-severity buffer overflow bug that impacted all OpenSSL 3.x installations. This is a post from HackRead.com Read the original post: OpenSSL Released Patch for High-Severity Vulnerability Detected Last Week

Underwater cables keep the internet online. When they congregate in one place, things get tricky.

By Waqas Security researcher Anurag Sen revealed Amazon failed to protect one of its internal servers, which allowed any third party to access the database. This is a post from HackRead.com Read the original post: Leaked Amazon Prime Video Server Exposed Users Viewing Habits

Retailers' new holiday jingle must hit cybersecurity high points to help survive the season. Forget Dasher and Dancer — add SAST and DAST to app testing; manage third-party risks; and use MFA along with training and proper authentication to secure credentials.

New web targets for the discerning hacker

Come up with a clever caption, and our panel of experts will reward the winner with a $25 Amazon gift card.

Xenstore: Guests can create arbitrary number of nodes via transactions T[his CNA information record relates to multiple CVEs; the text explains which aspects/vulnerabilities correspond to which CVE.] In case a node has been created in a transaction and it is later deleted in the same transaction, the transaction will be terminated with an error. As this error is encountered only when handling the deleted node at transaction finalization, the transaction will have been performed partially and without updating the accounting information. This will enable a malicious guest to create arbitrary number of nodes.