Two Separate Campaigns Target Exposed LLM Services

darkreading

January 12, 2026 at 3:37 PM

Actively Exploited

Overview

Recent research has identified two separate campaigns that targeted public large language model (LLM) endpoints. In total, there were 91,403 sessions aimed at exploiting these services, with attackers looking to uncover leaks in how organizations utilize AI. This activity indicates a growing interest in mapping vulnerabilities associated with AI technologies. Companies using exposed LLM services should be particularly vigilant, as the findings suggest that their AI systems could be at risk for data leaks or other security issues. The targeting of these services raises concerns about the broader implications for organizations relying on AI, emphasizing the need for enhanced security measures.

Key Takeaways

Active Exploitation: This vulnerability is being actively exploited by attackers. Immediate action is recommended.
Affected Systems: Public large language model (LLM) endpoints
Action Required: Organizations should secure their LLM endpoints, implement access controls, and monitor for unusual activity on their AI services.
Timeline: Newly disclosed

Original Article Summary

A total of 91,403 sessions targeted public LLM endpoints to find leaks in organizations' use of AI and map an expanding attack surface.

Impact

Public large language model (LLM) endpoints

Exploitation Status

This vulnerability is confirmed to be actively exploited by attackers in real-world attacks. Organizations should prioritize patching or implementing workarounds immediately.

Timeline

Newly disclosed

Remediation

Organizations should secure their LLM endpoints, implement access controls, and monitor for unusual activity on their AI services.

Additional Information

This threat intelligence is aggregated from trusted cybersecurity sources. For the most up-to-date information, technical details, and official vendor guidance, please refer to the original article linked below.

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