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    Home»AI Ethics & Regulation»Cursor AI Code Editor Flaw Allows Silent Code Execution by way of Malicious Repositories
    AI Ethics & Regulation

    Cursor AI Code Editor Flaw Allows Silent Code Execution by way of Malicious Repositories

    Declan MurphyBy Declan MurphySeptember 12, 2025No Comments6 Mins Read
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    Cursor AI Code Editor Flaw Allows Silent Code Execution by way of Malicious Repositories
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    A safety weak point has been disclosed within the synthetic intelligence (AI)-powered code editor Cursor that might set off code execution when a maliciously crafted repository is opened utilizing this system.

    The problem stems from the truth that an out-of-the-box safety setting is disabled by default, opening the door for attackers to run arbitrary code on customers’ computer systems with their privileges.

    “Cursor ships with Workspace Belief disabled by default, so VS Code-style duties configured with runOptions.runOn: ‘folderOpen’ auto-execute the second a developer browses a venture,” Oasis Safety mentioned in an evaluation. “A malicious .vscode/duties.json turns an informal ‘open folder’ into silent code execution within the person’s context.”

    Cursor is an AI-powered fork of Visible Studio Code, which helps a function referred to as Workspace Belief to permit builders to securely browse and edit code no matter the place it got here from or who wrote it.

    With this feature disabled, an attacker could make out there a venture in GitHub (or any platform) and embrace a hidden “autorun” instruction that instructs the IDE to execute a activity as quickly as a folder is opened, inflicting malicious code to be executed when the sufferer makes an attempt to browse the booby-trapped repository in Cursor.

    “This has the potential to leak delicate credentials, modify recordsdata, or function a vector for broader system compromise, putting Cursor customers at vital threat from provide chain assaults,” Oasis Safety researcher Erez Schwartz mentioned.

    To counter this risk, customers are suggested to allow Office Belief in Cursor, open untrusted repositories in a unique code editor, and audit them earlier than opening them within the device.

    Audit and Beyond

    The event comes as immediate injections and jailbreaks have emerged as a stealthy and systemic risk plaguing AI-powered coding and reasoning brokers like Claude Code, Cline, K2 Assume, and Windsurf, permitting risk actors to embed malicious directions in sneaky methods to trick the programs into performing malicious actions or leaking knowledge from software program growth environments.

    Software program provide chain safety outfit Checkmarx, in a report final week, revealed how Anthropic’s newly launched automated safety opinions in Claude Code may inadvertently expose initiatives to safety dangers, together with instructing it to disregard susceptible code by way of immediate injections, inflicting builders to push malicious or insecure code previous safety opinions.

    “On this case, a fastidiously written remark can persuade Claude that even plainly harmful code is totally protected,” the corporate mentioned. “The tip end result: a developer – whether or not malicious or simply attempting to close Claude up – can simply trick Claude into considering a vulnerability is protected.”

    One other downside is that the AI inspection course of additionally generates and executes check circumstances, which may result in a situation the place malicious code is run in opposition to manufacturing databases if Claude Code is not correctly sandboxed.

    The AI firm, which additionally not too long ago launched a brand new file creation and enhancing function in Claude, has warned that the function carries immediate injection dangers because of it working in a “sandboxed computing surroundings with restricted web entry.”

    Particularly, it is doable for a nasty actor to “inconspicuously” add directions by way of exterior recordsdata or web sites – aka oblique immediate injection – that trick the chatbot into downloading and working untrusted code or studying delicate knowledge from a information supply linked by way of the Mannequin Context Protocol (MCP).

    “This implies Claude may be tricked into sending data from its context (e.g., prompts, initiatives, knowledge by way of MCP, Google integrations) to malicious third events,” Anthropic mentioned. “To mitigate these dangers, we suggest you monitor Claude whereas utilizing the function and cease it should you see it utilizing or accessing knowledge unexpectedly.”

    That is not all. Late final month, the corporate additionally revealed browser-using AI fashions like Claude for Chrome can face immediate injection assaults, and that it has carried out a number of defenses to deal with the risk and cut back the assault success price of 23.6% to 11.2%.

    “New types of immediate injection assaults are additionally consistently being developed by malicious actors,” it added. “By uncovering real-world examples of unsafe conduct and new assault patterns that are not current in managed assessments, we’ll train our fashions to acknowledge the assaults and account for the associated behaviors, and make sure that security classifiers will decide up something that the mannequin itself misses.”

    CIS Build Kits

    On the similar time, these instruments have additionally been discovered vulnerable to conventional safety vulnerabilities, broadening the assault floor with potential real-world impression –

    • A WebSocket authentication bypass in Claude Code IDE extensions (CVE-2025-52882, CVSS rating: 8.8) that might have allowed an attacker to hook up with a sufferer’s unauthenticated native WebSocket server just by luring them to go to a web site beneath their management, enabling distant command execution
    • An SQL injection vulnerability within the Postgres MCP server that might have allowed an attacker to bypass the read-only restriction and execute arbitrary SQL statements
    • A path traversal vulnerability in Microsoft NLWeb that might have allowed a distant attacker to learn delicate recordsdata, together with system configurations (“/and so forth/passwd”) and cloud credentials (.env recordsdata), utilizing a specifically crafted URL
    • An incorrect authorization vulnerability in Lovable (CVE-2025-48757, CVSS rating: 9.3) that might have allowed distant unauthenticated attackers to learn or write to arbitrary database tables of generated websites
    • Open redirect, saved cross-site scripting (XSS), and delicate knowledge leakage vulnerabilities in Base44 that might have allowed attackers to entry the sufferer’s apps and growth workspace, harvest API keys, inject malicious logic into user-generated functions, and exfiltrate knowledge
    • A vulnerability in Ollama Desktop arising because of incomplete cross-origin controls that might have allowed an attacker to stage a drive-by assault, the place visiting a malicious web site can reconfigure the appliance’s settings to intercept chats and even alter responses utilizing poisoned fashions

    “As AI-driven growth accelerates, essentially the most urgent threats are sometimes not unique AI assaults however failures in classical safety controls,” Imperva mentioned. “To guard the rising ecosystem of ‘vibe coding’ platforms, safety should be handled as a basis, not an afterthought.”

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