External risk intelligence

bytebot-ai Arbitrary Code Execution via Crafted Path

CVE advisorySeverity: CRITICAL (CVSS 9.8)

CVE-2026-30631

The vulnerability exists in an AI-related software component that allows arbitrary code execution via file operations. While it is network-accessible, the context does not specify that this component is typically deployed as a public-facing edge service or web gateway, making internet exposure possible but not inherently characteristic of its standard deployment.

OS Command Injection

Halo Surface Signal: 3 out of 5 — possibly public-facing.

External exposure likelihood

Horizon Alert

Summary of the vulnerability and why it matters

This critical vulnerability in an AI software component allows remote attackers to execute arbitrary code by manipulating file operations, potentially impacting systems that utilize this technology.

  • Attackers can run unauthorized code.
  • Matters if AI software handles files remotely.
  • Confirm relevance and assess potential exposure.

Attack Path

How an attacker could exploit the issue

Attackers can exploit this vulnerability by sending a specially crafted path to the `computer_write_file` function, which is exposed over the network. This allows them to execute arbitrary code on the affected system.

  • Network access required.
  • Crafted path to `computer_write_file`.
  • Arbitrary code execution.

Live Threat

Current exploitation, exposure, and threat context

An attacker could execute arbitrary code on systems running bytebot-ai when a crafted path is provided to the `computer_write_file` function. This could allow for unauthorized code execution under unauthenticated conditions.

  • Arbitrary code execution.
  • Crafted path to `computer_write_file`.
  • System compromise.

Operational Fix

Recommended remediation, mitigation, and detection steps

The bytebot-ai component, specifically the `computer_write_file` function, is susceptible to arbitrary code execution. Real-world ownership likely resides with the application team responsible for bytebot-ai, with potential coordination needed from infrastructure or platform teams if the component is integrated into a larger system. The initial practical move is to confirm the presence and exposure of bytebot-ai, identify its accountable owner, and assess its business criticality to prioritize remediation efforts.

  • Application team owns the issue.
  • Verify bytebot-ai exposure and criticality.
  • Plan remediation with vendor coordination.

Supplementary metadata

Validate whether this threat affects your internet-facing exposure.

Halo Threat Intelligence helps prioritize remediation with Halo Surface Signal and H/A/L/O context. Start exposure validation with a free external attack surface trial.

Frequently asked questions

What is bytebot-ai?

bytebot-ai is an AI-related software component designed to perform automated tasks, such as file management and execution. Developers integrate it into applications to enable advanced features like autonomous file writing, making it a critical backend utility for systems that require AI to interact with the local file system.

What does CVE-2026-30631 mean for system security?

This vulnerability is classified as CWE-78, which refers to OS Command Injection. In the context of CVE-2026-30631, it means the software fails to properly sanitize inputs. Because the `computer_write_file` function accepts file paths without sufficient validation, a remote attacker can input malicious commands that the system executes with the privileges of the underlying service.

How is this vulnerability triggered?

An attacker triggers this flaw by sending a specially crafted path string to the `computer_write_file` function over the network. It is important to note that this requires the ability to reach this function directly; simply interacting with other parts of the application or sending benign file paths will not trigger the code execution.

Is my system at risk according to Halo Surface Signal?

Halo Surface Signal identifies this as a 'Possible' risk. While the component is network-accessible and theoretically vulnerable, it is not standard practice to deploy such AI components as public-facing edge services. You should verify if your specific implementation exposes the `computer_write_file` interface to the internet, as that significantly increases the likelihood of an attack.

What should I do first to address this?

Start by identifying all instances of bytebot-ai within your infrastructure to determine who manages the application. Once located, confirm if the `computer_write_file` function is reachable via the network. Coordinate with your application owners to evaluate the business risk and plan for necessary updates or configuration changes to restrict unauthorized access to this function.

References