Large Language Model (LLM) applications Prompt Injection Vulnerability

The article highlights critical security gaps in Large Language Model (LLM) applications, detailing common vulnerabilities such as prompt injection, sensitive information disclosure, and supply chain compromises. These flaws, categorized by the OWASP Top 10 for LLM Applications, can lead to unintended LLM behavior, data exposure, and other serious consequences.

What Happened

The article highlights critical security gaps in Large Language Model (LLM) applications, detailing common vulnerabilities such as prompt injection, sensitive information disclosure, and supply chain compromises. These flaws, categorized by the OWASP Top 10 for LLM Applications, can lead to unintended LLM behavior, data exposure, and other serious consequences.

Why This Matters

Publisher reporting describes a security event affecting top. BugSkan could not yet bind a CVE or affected version, so treat the source details as the current record.

Recommended Action

Confirm whether top is present in your environment and review vendor guidance for this report. Apply available patches or mitigations if your deployment matches the described conditions.

Exposure

Exposure reason: This incident does not currently match a technology in My Interests.

Exploitation status: UNKNOWN

Primary entities:

Timeline

• Incident first seen
  Jun 12, 2025 05:30

  BugSkan first recorded this incident.

• Stay Ahead of AI Threats: Secure LLM Applications With Trend Vision One - www.trendmicro.com
  Jun 12, 2025 05:30

  trendmicro.com · Vulnerability

Sources

Related Incidents

Other BugSkan incidents that share identifiers, products, or vendors with this report.

My Interests Match