InternLM — Vulnerabilities & Security Advisories 4

InternLM is a large language model developed for enterprise AI applications and research purposes. Historically, vulnerabilities associated with InternLM include remote code execution (RCE), cross-site scripting (XSS), and privilege escalation, often stemming from input validation flaws and insecure API implementations. The model has accumulated four CVEs to date, with security researchers identifying risks in its web interface and model deployment configurations. While no major public security incidents have been reported, the presence of multiple CVEs suggests ongoing challenges in securing large language model deployments, particularly around user input handling and access control mechanisms.