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OWASP: Indirect Prompt Injection is Top LLM Risk for 2025

By PulseAugur Editorial · [1 sources] ·

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

How we ranked this

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
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]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
safety, product
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
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High
Clearly on-topic for AI-industry coverage.
Story freshness
104 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

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…

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