Last seen April 2, 2026

AI Prompt Injection Vulnerability

Prompt injection and LLM jailbreaks are critical vulnerabilities in generative AI systems that allow attackers to override model instructions, bypass safety controls, and manipulate downstream tools. These exploits pose significant operational risks, including data exfiltration, unauthorized actions, and compromise of business processes, particularly in agentic workflows.

Technical Severity
Low severity
Lifecycle Status

STABLE

What Happened

Prompt injection and LLM jailbreaks are critical vulnerabilities in generative AI systems that allow attackers to override model instructions, bypass safety controls, and manipulate downstream tools. These exploits pose significant operational risks, including data exfiltration, unauthorized actions, and compromise of business processes, particularly in agentic workflows.

Why This Matters

Current evidence identifies a security issue involving the affected technology, but does not yet support a more specific impact claim.

Recommended Action

No confirmed vendor remediation is available in the current evidence. Confirm whether the affected technology is present in your environment and review the affected configuration.

Exposure

My AI Stack Exposure

Exposure unknown

Recommended Response
Last Seen

Apr 02, 2026 05:30

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

Exploitation status: UNKNOWN

Primary entities:

JailbreakingPrompt Injection

Timeline

  • Incident first seen
    Apr 02, 2026 05:30

    BugSkan first recorded this incident.

  • Prompt Injection and LLM Jailbreaks: Defenses - Blockchain Council
    Apr 02, 2026 05:30

    blockchain-council.org · Research

Sources

Prompt Injection and LLM Jailbreaks: Defenses - Blockchain Council

blockchain-council.org · Apr 02, 2026 05:30

Prompt injection and LLM jailbreaks are critical vulnerabilities in generative AI systems that allow attackers to override model instructions, bypass safety controls, and manipulate downstream tools. These exploits pose significant operational risks, including data exfiltration, unauthorized actions, and compromise of business processes, particularly in agentic workflows.

Open publisher source

My AI Stack Match

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