CVE-2026-77294
Received Received - Intake

BaseFortify

Publication date: 2026-09-24

Last updated on: 2026-09-24

Assigner: GitHub, Inc.

Description
TREK is a collaborative travel planner. Prior to 3.3.0, TREK allows an authenticated user to store an attacker-controlled llm_base_url through the settings API when the LLM_PARSING feature is enabled. Write permission to the target trip instance is required to trigger the vulnerable AI-assisted import path. The value is consumed by the clients in server/src/nest/llm-parse/clients/openai-compatible.client.ts, server/src/nest/llm-parse/clients/anthropic.client.ts, and server/src/nest/llm-parse/router/ollama-format.client.ts without applying the server-side request forgery guard. Triggering AI-assisted trip parsing causes the server to request the supplied destination, and upstream error response text can be returned in parsing warnings. This permits internal service discovery and access to link-local cloud metadata, with possible disclosure of infrastructure credentials and subsequent modification of protected cloud resources. This issue is fixed in version 3.3.0.

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Meta Information

Published
2026-09-24
Last Modified
2026-09-24
Generated
2026-09-25
AI Q&A
2026-09-24
EPSS Evaluated
N/A
NVD
CVE-2026-77294
EUVD
EUVD-2026-86338

Affected Vendors & Products

Currently, no data is known.

Helpful Resources

Exploitability

CWE
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KEV
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CWE ID Description
CWE-918 The web server receives a URL or similar request from an upstream component and retrieves the contents of this URL, but it does not sufficiently ensure that the request is being sent to the expected destination.

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Executive Summary

This vulnerability in TREK (versions before 3.3.0) allows an authenticated user with write permissions to a trip instance to set a malicious llm_base_url via the settings API when the LLM_PARSING feature is enabled. The server then uses this URL without proper server-side request forgery protection when processing AI-assisted trip parsing, potentially exposing internal services and cloud metadata.

Detection Guidance

Detect this vulnerability by checking TREK versions prior to 3.3.0 and reviewing settings for unauthorized llm_base_url modifications. Inspect server logs for AI-assisted trip parsing requests to unexpected destinations.

Impact Analysis

An attacker could exploit this to access internal service details, cloud metadata, or infrastructure credentials. This may lead to unauthorized modifications of protected cloud resources or further network compromise if credentials are exposed.

Compliance Impact

This vulnerability could lead to unauthorized access to internal infrastructure and cloud metadata, potentially exposing sensitive data such as authentication tokens or infrastructure credentials. This may violate GDPR's data protection principles (e.g., integrity and confidentiality) and HIPAA's security requirements for protecting health information, depending on the data processed by the system.

Mitigation Strategies

Upgrade TREK to version 3.3.0 or later. Disable the LLM_PARSING feature if not required. Review and audit all llm_base_url settings for unauthorized changes.

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