CVE-2026-67598 in Pro
Summary
by MITRE • 08/03/2026
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.
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Analysis
by VulDB Data Team • 08/03/2026
The vulnerability in Emlog Pro versions 2.6.23 and earlier represents a critical security flaw in the application's handling of outbound HTTPS communications with large language model providers. This issue stems from the unconditional disabling of TLS certificate validation within the include/service/ai.php file, specifically through the manipulation of cURL options CURLOPT_SSL_VERIFYPEER and CURLOPT_SSL_VERIFYHOST. The flaw affects multiple functions including sendStream(), sendImageRequest(), send(), and fetchSearchHtml() which are all configured to bypass SSL verification regardless of security requirements or configuration settings.
The technical implementation of this vulnerability creates a dangerous trust relationship between the Emlog Pro application and remote LLM providers by completely eliminating any certificate validation mechanisms. This configuration effectively removes the cryptographic assurance that the communication is occurring with the intended server rather than an attacker positioned in the network path. Network-adjacent attackers can exploit this weakness by presenting arbitrary TLS certificates during the SSL handshake process, allowing them to establish a man-in-the-middle position without detection or resistance from the application's security controls.
The operational impact of this vulnerability extends beyond simple data interception to include complete compromise of the AI integration functionality within Emlog Pro. Attackers can extract Authorization Bearer API keys from every outbound request made to LLM providers, potentially gaining access to sensitive credentials that could be used for unauthorized access to cloud services, billing systems, or other connected applications. Additionally, attackers can inject malicious responses that may be processed by the application's tool-call execution pipeline, particularly affecting handlers such as query_database and update_config which could enable attackers to execute arbitrary database queries or modify system configurations.
This vulnerability directly maps to CWE-295 which addresses "Improper Certificate Validation" and aligns with ATT&CK technique T1046 for network service scanning and T1566 for credential harvesting through social engineering. The flaw represents a fundamental failure in secure communication implementation where the application prioritizes convenience over security, creating an attack surface that allows for complete interception of AI-driven workflows. Organizations using Emlog Pro are particularly vulnerable because the disabling of certificate validation is implemented at the core communication layer rather than being configurable or optional, leaving no mechanism for administrators to maintain security controls while enabling functionality.
The mitigation strategy requires immediate patching of the affected versions and implementation of proper TLS certificate validation. Administrators should ensure that all outbound communications with LLM providers use properly configured SSL/TLS connections with certificate verification enabled. The application code must be updated to either remove the unconditional disabling of SSL verification or provide secure configuration options that allow administrators to maintain appropriate security controls while enabling required functionality. Organizations should also implement network monitoring to detect potential man-in-the-middle attacks and consider implementing additional layers of authentication such as API key rotation and request signing mechanisms to protect against credential theft.