Automation in AI development tools can be exploited to hijack project setup to expose credentials before trust is confirmed: threat research.
Security researchers have disclosed a high‑severity vulnerability in a widely used AI‑powered coding assistant, that could allow attackers to silently execute malicious commands and steal API credentials from developers’ machines — with little to no user interaction.
The flaw highlights how automation in modern AI development tools is quietly expanding the attack surface of enterprise software pipelines.
The issue affects an AI‑assisted coding environment, Claude, that integrates tightly with a developer’s local integrated development environment, repository layouts, and cloud services.
AI coding flaw
When a project is opened, the coding tool automatically initializes certain background processes and connections to external APIs. Under specific conditions, those initialization routines can be abused by a malicious repository so that simply cloning and launching the project triggers hidden activity.
Researchers have found that the coding assistant’s built‑in automation could be hijacked to run predefined actions at the start of a session, including executing commands on the developer’s machine.
In addition, the platform’s model‑context integration mechanism, which lets external services attach to a project upon launch, was shown to be vulnerable to configuration‑level overrides.
By tampering with repository‑controlled settings, an attacker could bypass normal consent checks, effectively shifting trust from the user to the project itself.
The most serious risk involved credential exposure. The coding assistant uses an API key to authenticate with its cloud backend, and researchers have demonstrated that traffic — including the full authorization header — could be redirected to an attacker‑controlled server before the user explicitly confirmed trust in the project directory.
Commenting on the findings, Oded Vanunu, Head of Product Vulnerability Research, Check Point Software, the firm that disclosed the discovery, said: “AI development tools are no longer peripheral utilities — they are becoming infrastructure. When automation layers gain the ability to influence execution and environment behavior, trust boundaries change.”
The vendor, whose product sits at the core of millions of monthly active developer sessions, has since addressed the issue, according to Check Point. The disclosure underscores a growing challenge for organizations: as AI‑assisted coding tools become embedded in software supply chains, older security models focused on manual code review and perimeter controls may no longer be sufficient.
