External risk intelligence

Transcribe2texts OS Command Injection Vulnerability

CVE advisorySeverity: CRITICAL (CVSS 9.3)

CVE-2026-110643

This is a Node.js library for audio transcription. While the library itself processes inputs, its deployment as a public-facing service depends entirely on how a developer integrates it into an application. It is not inherently an edge service, gateway, or internet-facing appliance, so public reachability is plausible but not guaranteed by the nature of the software.

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

A critical vulnerability has been identified in the transcribe2texts software, specifically within the transcribeAudio function. This issue allows attackers to potentially execute arbitrary commands on systems running the affected software by manipulating audio path inputs. The potential for unauthorized command execution poses a significant security risk, as it could lead to system compromise and data breaches.

Attackers can run commands on your systems.
Executive leadership must understand the risk.
Confirm relevance and assess potential exposure.

Attack Path

How an attacker could exploit the issue

An attacker could target this vulnerability by sending specially crafted input to a service that uses the vulnerable transcription software. The attacker would need to supply malicious values within the `audioPath` parameter when calling the `transcribeAudio()` function. If successful, this could allow the attacker to execute arbitrary commands on the server hosting the software, potentially with Node.js process privileges.

No authentication or special privileges required.
Supplying crafted `audioPath` to `transcribeAudio()`.
Execute commands on the server.

Live Threat

Current exploitation, exposure, and threat context

A vulnerability in transcribe2texts could allow an unauthenticated attacker to execute arbitrary operating system commands on the server running the software. This could occur when the `transcribeAudio()` function is called with a specially crafted `audioPath` argument, potentially leading to a compromise of the underlying Node.js process.

Server-side commands could be executed.
Crafted audioPath values could trigger execution.
Potential for unauthorized system access.

Operational Fix

Recommended remediation, mitigation, and detection steps

The transcribe2texts library's OS command injection vulnerability necessitates action from teams responsible for the application integrating this library. The first practical step is to locate all instances of transcribe2texts within your environment, assess their reachability and business criticality, and then identify the accountable application owner. Remediation planning should be prioritized based on this risk assessment.

Application owners should investigate usage.
Verify application reachability and business criticality.
Plan remediation based on identified risk.

Supplementary metadata

CVSS vector

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.

Free EASM Trial See How Signal Works

Frequently asked questions

What is transcribe2texts?

Transcribe2texts is a Node.js library designed for audio transcription tasks. Developers integrate it into their own applications to process audio files, typically by calling its internal functions to convert speech into text. Because it is a library rather than a standalone appliance, its role depends on how a specific application uses it to handle user-provided audio inputs.

What does OS command injection mean for CVE-2026-110643?

This vulnerability, classified as CWE-78, occurs when software improperly constructs a system command using user-supplied data. In this case, the `transcribeAudio()` function takes an `audioPath` input and passes it to a command-line execution function without sufficient cleaning. An attacker can use special characters to break out of the intended path and append their own commands, which the system then executes with the same permissions as the Node.js process.

How do attackers trigger this vulnerability?

An attacker triggers the flaw by providing a malicious string as the `audioPath` argument when the `transcribeAudio()` function is called. By injecting characters like backticks or subshell syntax into this path, they force the software to run unintended commands. Simply having the library installed is not enough; the bug only activates if the application accepts and processes a crafted input string that reaches the vulnerable function.

Is my system at risk according to Halo Surface Signal?

Halo Surface Signal indicates that while this is a critical issue, the software is not inherently an internet-facing appliance. The risk depends on your specific architecture. If your application exposes a public interface that allows users to supply file paths or triggers `transcribeAudio()` based on unverified external inputs, the potential for unauthorized access is higher than if the library is only used within internal or authenticated workflows.

What should I do if I use transcribe2texts?

First, identify all software projects in your environment that include the transcribe2texts library. Once located, coordinate with the application owners to determine if the `transcribeAudio()` function is reachable by untrusted users. Assess the business criticality of these applications to prioritize your response, and plan to update or restrict how your code handles audio path inputs to prevent malicious command execution.

References

Written by Nicholas Merritt

Nicholas Merritt is VP of Security Solutions at Halo Security. With more than 25 years across application security, vulnerability prioritization, and offensive security, he helps teams translate threat data into practical exposure validation and remediation focus. He authors Halo Threat Intelligence CVE advisories using Halo Surface Signal and H/A/L/O context to prioritize internet-facing risk.