Slide 5 of 28
Part 1 · What Is It?Slide 5
Slide 5 · The Outcomes
When prompt injection succeeds — here's what can happen.
6 outcomes from OWASP. Each one anchored to a real incident.
📄 OWASP LLM Top 10:2025 · LLM01
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Disclosure of sensitive information
EchoLeak (CVE-2025-32711, CVSS 9.3): A single crafted email caused Microsoft 365 Copilot to silently exfiltrate the victim's internal files, credentials, and documents to an attacker-controlled server. Zero clicks required.
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Revealing AI system infrastructure or system prompts
The attacker tricks the model into exposing its own system prompt. Once they know the guardrails, they know exactly how to bypass them — what's allowed, what's blocked, what tools the AI has access to.
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Content manipulation — incorrect or biased outputs
Researchers demonstrated that injecting instructions into a document submitted for AI peer review caused the AI to write a falsely positive review — praising contributions and ignoring limitations — regardless of the paper's actual quality.
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Providing unauthorized access to LLM functions
CVE-2024-5184: An attacker exploited an LLM-powered email assistant to invoke email read and send functions they had no authorization to use — accessing sensitive data and manipulating outgoing emails.
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Executing arbitrary commands in connected systems
GitHub Copilot CVE-2025-53773: Injection via invisible Unicode in a code file caused Copilot to modify .vscode/settings.json to enable auto-approval of all commands, then execute arbitrary shell commands on the developer's machine. Full RCE through a coding assistant.
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Manipulating critical decision-making processes
Freysa AI (November 2024): An AI agent explicitly programmed to never transfer funds was manipulated through prompt injection into transferring $47,000 in cryptocurrency to the attacker on the 482nd attempt.
The Common Thread

In every case: the model did something it wasn't authorized to do, because text told it to. The authorization check happened at the language level — and language can be manipulated.

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