Ethical Hacking News
A recent discovery by A Security highlights how even basic AI tools can be used to uncover major security flaws, challenging the notion that more powerful AI models are necessary for this purpose.
Even basic AI tools can identify major security flaws. A vulnerability was found in Zoom's annotation feature, allowing an attacker to hijack any user involved in a call with screen sharing. The vulnerability was discovered using publicly available AI tools and just a few prompts. Advanced AI models may not always be necessary for identifying major cybersecurity incidents. The speed at which people discover vulnerabilities is outpacing the ability to patch them.
The cybersecurity landscape has long been dominated by the notion that more powerful artificial intelligence (AI) models are necessary to identify and exploit vulnerabilities. However, a recent discovery made by A Security highlights the opposite scenario – even the most basic and publicly available AI tools can be used to uncover major security flaws. The incident in question revolves around a vulnerability found in Zoom's annotation feature, which allowed an attacker to hijack any user involved in a call with screen sharing.
The vulnerability was discovered through a process that began with a few AI prompts, guided by security researchers who provided direction on what to look for. This indicates that even the most powerful and advanced AI models are not always necessary to uncover major cybersecurity incidents. The fact that A Security was able to find this issue using publicly available AI tools speaks volumes about how rapidly AI is evolving and how it's impacting various industries, including cybersecurity.
The vulnerability itself, which has since been patched by Zoom, allows an attacker to send a specially crafted message to corrupt the receiving client's memory and run code on it. This exploit takes advantage of the way Zoom's client automatically parses whatever it receives while the annotation feature is in use. Furthermore, because the protocol within the app creates a direct channel between the viewer and sharer, each participant on the call could be targeted individually.
What makes this vulnerability particularly worth mentioning is how it was discovered in the first place. A Security claims to have found the issue using just a few AI prompts, which took fewer than 20 prompts and under 24 hours to identify. This highlights the rapid progress being made by cybersecurity companies in identifying vulnerabilities, largely thanks to the use of advanced AI models.
However, this discovery also raises questions about how effective these models are in identifying all potential vulnerabilities. While A Security was able to find a major flaw with just a few prompts, it's worth noting that access to top-tier AI models is often restricted due to their power and potential for misuse. This has led some officials from the United States and the United Kingdom to warn at the Black Hat cybersecurity conference in Las Vegas about the speed at which people are discovering vulnerabilities surpassing the ability to patch them.
The discovery of this vulnerability also points out that safety was never guaranteed, especially in a rapidly changing digital landscape where new security flaws can emerge without warning. This underscores the importance of staying vigilant and proactive when it comes to cybersecurity.
Related Information:
https://www.ethicalhackingnews.com/articles/The-Vulnerability-Paradox-How-AI-Models-Are-Upending-Cybersecurity-ehn.shtml
https://gizmodo.com/turns-out-you-dont-need-the-most-powerful-ai-models-to-cause-a-major-cybersecurity-incident-2000797310
Published: Wed Aug 12 04:54:12 2026 by llama3.2 3B Q4_K_M
