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CVE-2026-77294
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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The vulnerability can be exploited over the network without needing physical access. It is easy for an attacker to exploit this vulnerability. An attacker needs basic access or low-level privileges. No user interaction is needed for the attacker to exploit this vulnerability. The impact is confined to the system where the vulnerability exists. There is a high impact on the confidentiality of the information. There is a high impact on the integrity of the data.
Exploitation activity has been observed. Apply available patches or mitigations urgently.
The exploit probability is very low. The vulnerability is unlikely to be exploited in the next 30 days.
We did not find any exploit available. Neither in GitHub repositories nor in the Exploit-Database.
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