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You are at:Home » Google Fixes AI Coding Tool Flaw That Let Attackers Execute Malicious Code: Report
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Google Fixes AI Coding Tool Flaw That Let Attackers Execute Malicious Code: Report

News RoomNews RoomApr 21, 2026 6:55 pm EDT0 ViewsNo Comments3 Mins Read
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In short

  • Scientists discovered a timely injection vulnerability in Google’s Antigravity AI coding platform.
  • The defect might permit opponents to perform commands even with the platform’s Secure Mode made it possible for.
  • Google repaired the problem Feb. 28 after scientists revealed it in January, Pillar Security stated.

Google has actually covered a vulnerability in its Antigravity AI coding platform that scientists state might permit opponents to run commands on a designer’s maker through a timely injection attack.

According to a report by Cybersecurity company Pillar Security, the defect included Antigravity’s find_by_name file search tool, which passed user input straight to a hidden command-line energy without recognition. That permitted harmful input to transform a file search into a command execution job, making it possible for remote code execution.

” Integrated with Antigravity’s capability to produce files as an allowed action, this allows a complete attack chain: phase a harmful script, then activate it through a relatively genuine search, all without extra user interaction once the timely injection lands,” Pillar Security scientists composed.

Introduced last November, Antigravity is Google’s AI-powered advancement environment created to assist developers compose, test, and handle code with the help of self-governing software application representatives. Pillar Security revealed the problem to Google on January 7, and Google acknowledged the report the very same day, marking the problem as repaired on February 28.

Google did not right away react to an ask for remark by Decrypt.

Trigger injection attacks take place when concealed guidelines ingrained in material trigger an AI system to carry out unexpected actions. Since AI tools frequently process external files or text as part of regular workflows, the system might analyze those guidelines as genuine commands, enabling an enemy to set off actions on a user’s maker without direct gain access to or extra interaction.

The danger of timely injection attacks for big language designs entered restored focus last summertime when ChatGPT designer OpenAI cautioned that its brand-new ChatGPT representative might be jeopardized.

” When you sign ChatGPT representative into sites or allow adapters, it will have the ability to gain access to delicate information from those sources, such as e-mails, files, or account details,” OpenAI composed in a post.

To show the Antigravity problem, the scientists produced a test script inside a task work area and activated it through the search tool. When carried out, the script opened the computer system’s calculator application, revealing that the search function might be become a command execution system.

” Seriously, this vulnerability bypasses Antigravity’s Secure Mode, the item’s most limiting security setup,” the report stated.

The findings highlight a wider security difficulty dealing with AI-powered advancement tools as they start to perform jobs autonomously.

” The market should move beyond sanitization-based controls towards execution seclusion. Every native tool specification that reaches a shell command is a possible injection point,” Pillar Security stated. “Auditing for this class of vulnerability is no longer optional, and it is a requirement for shipping agentic functions securely.”

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