Twitter API | Breaking Cybersecurity News | The Hacker News

Twitter today issued a warning revealing that attackers abused a legitimate functionality on its platform to unauthorizedly determine phone numbers associated with millions of its users' accounts. According to Twitter, the vulnerability resided in one of the APIs that has been designed to make it easier for users to find people they may already know on Twitter by matching phone numbers saved in their contacts with twitter accounts. To be noted, the feature worked precisely as intended, except someone was not supposed to upload millions of randomly generated phone numbers and abuse Twitter to reveal profiles associated with the contact information users added to Twitter for enabling security features. Though the company is not sure if the bug was exploited by only a single adversary or multiple groups, it has identified several accounts engaged in the attack located in a wide range of countries, primarily from Iran, Israel, and Malaysia. Based on their IP addresses, Twitt

The security and privacy issues with APIs and third-party app developers are something that's not just Facebook is dealing with. A bug in Twitter's API inadvertently exposed some users' direct messages (DMs) and protected tweets to unauthorized third-party app developers who weren't supposed to get them, Twitter disclosed in its Developer Blog on Friday. What Happened? Twitter found a bug in its Account Activity API (AAAPI), which is used by registered developers to build tools to support business communications with their customers, and the bug could have exposed those customers' interactions. The Twitter AAAPI bug was present for more than a year—from May 2017 until September 10—when the microblogging platform discovered the issue and patched it "within hours of discovering it." In other words, the bug was active on the platform for almost 16 months. "If you interacted with an account or business on Twitter that relied on a developer

Ambitious Employees Tout New AI Tools, Ignore Serious SaaS Security Risks Like the  SaaS shadow IT  of the past, AI is placing CISOs and cybersecurity teams in a tough but familiar spot.  Employees are covertly using AI  with little regard for established IT and cybersecurity review procedures. Considering  ChatGPT's meteoric rise to 100 million users within 60 days of launch , especially with little sales and marketing fanfare, employee-driven demand for AI tools will only escalate.  As new studies show  some workers boost productivity by 40% using generative AI , the pressure for CISOs and their teams to fast-track AI adoption — and turn a blind eye to unsanctioned AI tool usage — is intensifying.  But succumbing to these pressures can introduce serious SaaS data leakage and breach risks, particularly as employees flock to AI tools developed by small businesses, solopreneurs, and indie developers. AI Security Guide Download AppOmni's CISO Guide to AI Security - Part 1 AI evoke