Описание
Emlog Pro through 2.6.23 contains a disabled TLS certificate validation vulnerability in include/service/ai.php that allows network-adjacent attackers to intercept outbound HTTPS requests to configured LLM providers by presenting arbitrary TLS certificates, as CURLOPT_SSL_VERIFYPEER and CURLOPT_SSL_VERIFYHOST are unconditionally disabled across sendStream(), sendImageRequest(), send(), and fetchSearchHtml() with no option to re-enable verification. Attackers can perform man-in-the-middle interception to extract Authorization Bearer API keys from every AI request and inject crafted AI responses that may be acted upon by the tool-call execution pipeline, including the query_database and update_config tool handlers.
Emlog Pro through 2.6.23 contains a disabled TLS certificate validation vulnerability in include/service/ai.php that allows network-adjacent attackers to intercept outbound HTTPS requests to configured LLM providers by presenting arbitrary TLS certificates, as CURLOPT_SSL_VERIFYPEER and CURLOPT_SSL_VERIFYHOST are unconditionally disabled across sendStream(), sendImageRequest(), send(), and fetchSearchHtml() with no option to re-enable verification. Attackers can perform man-in-the-middle interception to extract Authorization Bearer API keys from every AI request and inject crafted AI responses that may be acted upon by the tool-call execution pipeline, including the query_database and update_config tool handlers.
Связанные уязвимости
Emlog Pro through 2.6.23 contains a disabled TLS certificate validation vulnerability in include/service/ai.php that allows network-adjacent attackers to intercept outbound HTTPS requests to configured LLM providers by presenting arbitrary TLS certificates, as CURLOPT_SSL_VERIFYPEER and CURLOPT_SSL_VERIFYHOST are unconditionally disabled across sendStream(), sendImageRequest(), send(), and fetchSearchHtml() with no option to re-enable verification. Attackers can perform man-in-the-middle interception to extract Authorization Bearer API keys from every AI request and inject crafted AI responses that may be acted upon by the tool-call execution pipeline, including the query_database and update_config tool handlers.