This shocking Zoom bug allowed silent device takeovers on Android and iOS
Over the past few months, we have watched frontier AI models rapidly alter the cybersecurity landscape โ from AI models breaking technical barriers to mounting regulatory scrutiny over weaponized AI โฆ
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Over the past few months, we have watched frontier AI models rapidly alter the cybersecurity landscape โ from AI models breaking technical barriers to mounting regulatory scrutiny over weaponized AI capabilities . Now, a newly disclosed Zoom flaw shows just how serious that can become.
Researchers used undisclosed publicly available AI models to uncover a vulnerability that could have allowed someone on a Zoom call to take control of another participantโs device. The flaw affected Zoom clients on Windows, macOS, Linux, iOS, and Android. Worse, the attack required no click, download, or other action from the victim. Simply being in the same meeting could be enough.
The vulnerability was found in Zoomโs annotation system, which handles features such as drawing and adding text while sharing a screen. A Security discovered (via Wired ) that specially crafted annotation data could trigger memory corruption in the receiving client and ultimately enable remote code execution. Whatโs even scarier is that it took fewer than 20 prompts to find the flaws and produce a working exploit in under 24 hours, something that previously took lots of time and resources.
That puts a real-world example behind growing concerns about AI-assisted security research. The same technology can help defenders find vulnerabilities faster, but it can also reduce the effort required to discover weaknesses in widely used software. Google, for example, is already using AI agents to uncover and help address vulnerabilities in Chrome .
What makes this bug particularly dangerous for everyday users is its zero-click execution and cross-platform reach. The flaw existed inside Zoomโs proprietary screen-sharing annotation engine (libannotate.so), an always-on component that automatically parses incoming drawing and text data. Because the same binary source compiles across all native Zoom Workplace apps, devices running Android, iOS, Windows, macOS, and Linux were equally exposed.
Without requiring any clicks, downloads, or interactions from the victim, an attacker could silently corrupt system memory, extract personal data, activate the deviceโs camera or microphone, or install secondary malware, undetected.
For Zoom users, thereโs a straightforward takeaway: update the app. A Security reported the vulnerabilities to Zoom in June, and the company subsequently deployed client-side and server-side fixes. The flaws are tracked as CVE-2026-53413, CVE-2026-53414, and CVE-2026-53415.
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