PulseAugur
EN
LIVE 12:50:05

OWASP: Indirect Prompt Injection is Top LLM Risk for 2025

OWASP has identified prompt injection as the top risk for LLM applications in 2025, with indirect injection posing a significant threat to developers. This occurs when an attacker embeds malicious instructions within external content that an LLM processes, leading to data exfiltration or unauthorized command execution, even if the user's input is benign. Examples like EchoLeak in Microsoft 365 Copilot and CurXecute in Cursor IDE highlight the real-world impact of these vulnerabilities. The author is developing rojaprove, a red-teaming tool to test for such risks, starting with system prompt leakage and planning to add indirect injection probes. AI

IMPACT Developers must implement robust defenses against indirect prompt injection to protect user data and application integrity.

RANK_REASON Article discusses a security risk and a tool to test for it, aligning with research and safety topics. [lever_c_demoted from research: ic=1 ai=1.0]

Read on dev.to — LLM tag →

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

OWASP: Indirect Prompt Injection is Top LLM Risk for 2025

COVERAGE [1]

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

    Your user typed nothing malicious. Your AI leaked their data anyway.

    <p>OWASP lists prompt injection as the #1 risk for LLM apps in 2025 (LLM01), and splits it into two kinds. Everyone pictures the direct kind — a user typing "ignore your instructions." The one that catches indie builders off guard is <strong>indirect</strong>.</p> <h2> The scenar…