CVE-2026-48762 in TypeBot
Summary
by MITRE • 08/12/2026
TypeBot is a chatbot builder tool. Prior to version 3.16.0, the OpenAI "Create Transcription" action handler fetches a user-supplied audio URL using `fetch()` without applying the SSRF protection that exists elsewhere in the codebase. An attacker can direct the server to make HTTP requests to arbitrary internal addresses and localhost. The fetched content is passed to the OpenAI Whisper API and the transcription result is returned to the attacker. Version 3.16.0 fixes the issue.
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Analysis
by VulDB Data Team • 08/12/2026
The TypeBot chatbot builder tool contains a critical server-side request forgery vulnerability in its OpenAI "Create Transcription" action handler that affects versions prior to 3160. This flaw represents a significant security weakness that allows remote attackers to bypass intended network restrictions and access internal systems through the application's legitimate API integration points. The vulnerability exists because the application employs an inconsistent security approach where certain code paths lack the robust server-side request forgery protections that are implemented elsewhere within the same codebase, creating an exploitable gap in the overall security architecture.
The technical implementation of this vulnerability stems from the improper handling of user-supplied audio URLs through the fetch() function without adequate validation or sanitization of the input parameters. When users provide audio URLs for transcription processing, the application directly uses these URLs in HTTP requests without implementing proper URL validation or network boundary checks that would normally prevent access to internal resources. This creates an attack surface where malicious actors can manipulate the system into making requests to localhost addresses, internal network services, or other restricted endpoints that should remain inaccessible from external-facing interfaces.
The operational impact of this vulnerability extends beyond simple information disclosure and encompasses potential privilege escalation and lateral movement capabilities within the target environment. Attackers can leverage this flaw to probe internal network configurations, access sensitive services running on localhost, or exploit misconfigured internal systems that might not be properly secured. The fact that the fetched content is then passed to OpenAI Whisper API means that even if direct system compromise isn't immediately possible, attackers can still gather intelligence about internal systems through the transcription process and potentially identify additional attack vectors within the network infrastructure.
The vulnerability aligns with CWE-918 Server-Side Request Forgery which specifically addresses the issue of applications making unintended requests to internal resources when processing user-provided URLs. This weakness also maps to ATT&CK technique T1071.004 Application Layer Protocol: DNS where attackers might use similar patterns to establish command and control channels or gather intelligence about network topology. The inconsistency in security controls across the application's codebase represents a broader architectural concern that could expose other components to similar vulnerabilities, making this issue particularly concerning for organizations relying on TypeBot for automated workflows.
The remediation implemented in version 3160 addresses the core problem by adding proper SSRF protections to the OpenAI "Create Transcription" action handler. This fix likely involves implementing URL validation checks that prevent access to localhost, private IP ranges, and other restricted network addresses while maintaining functionality for legitimate external audio sources. Organizations should ensure immediate deployment of this update and conduct thorough security assessments to verify that no similar inconsistencies exist in other parts of their TypeBot implementations or related systems. The vulnerability serves as a reminder of the importance of consistent security controls throughout application codebases and the necessity of implementing defense-in-depth strategies that protect against common web application vulnerabilities across all integration points.
The broader implications for software development practices highlight the critical need for comprehensive security testing that includes validation of all external input handling, particularly in API integrations where third-party services are leveraged. This vulnerability demonstrates how seemingly minor implementation gaps can create significant security risks, emphasizing the importance of adhering to secure coding standards and maintaining consistent security controls across all application components. Organizations should implement automated security scanning tools that can identify such inconsistencies in code patterns and ensure that security measures are uniformly applied across all integration points rather than being selectively implemented based on perceived risk levels.