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Copilot chatbot vulnerable to prompt injection attacks

A security researcher discovered a prompt injection vulnerability in the Copilot chatbot, allowing attackers to manipulate its responses. By altering client-provided context parameters like `pageText` and `currentUrl`, an attacker can trick the AI into validating fake security updates or phishing links. The vulnerability arises because the chatbot trusts client-supplied webpage content without server-side validation, enabling malicious actors to craft deceptive prompts that the AI will then present as legitimate information to users. AI

IMPACT Highlights the need for robust input validation in AI chatbots to prevent manipulation and protect users from phishing and misinformation.

RANK_REASON Security vulnerability disclosure for an AI-powered tool.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Copilot chatbot vulnerable to prompt injection attacks

COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Mohamed ·

    Prompt Injection in Copilot Chatbot — Phishing via Client-Controlled Context

    <p>--</p> <h2> Prompt Injection in Copilot Chatbot — Phishing via Client-Controlled Context </h2> <blockquote> <p><strong>How I discovered a critical vulnerability that allowed attackers to manipulate an AI chatbot into validating fake security updates and phishing users.</strong…