PulseAugur
EN
LIVE 22:16:19

AI assistant leaks discount code via system prompt, highlighting OWASP Top 10 vulnerability

A customer successfully prompted an AI assistant to reveal its system instructions, including a discount code, by simply asking it to print all text above a certain line. This incident highlights a common vulnerability known as system prompt leakage, which is now recognized in the OWASP Top 10 for LLM applications. The author, Serguey Asael Shinder, advises against embedding sensitive information or critical logic directly within system prompts, suggesting that such functionalities should be handled by external code for better security. AI

IMPACT Highlights a critical security flaw in LLM applications that could lead to unauthorized disclosure of sensitive information and discount codes.

RANK_REASON Article discusses a specific vulnerability in LLM applications and provides advice on mitigating it, but does not announce a new model or research breakthrough.

Read on dev.to — LLM tag →

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

AI assistant leaks discount code via system prompt, highlighting OWASP Top 10 vulnerability

How we ranked this

Signal score
17 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
Article discusses a specific vulnerability in LLM applications and provides advice on mitigating it, but does not announce a new model or research breakthrough.
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.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

Full methodology in our editorial standards.

COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Serguey Asael Shinder ·

    A Customer Asked Your Assistant for Its Instructions and It Read Them Out

    <p>The support assistant<br /> had a long system prompt.</p> <p>Be polite.<br /> Stay on topic.<br /> Never mention competitors.</p> <p>And near the bottom,<br /> a paragraph for the hard cases.</p> <p>If a customer threatens to cancel,<br /> offer code STAY30,<br /> thirty perce…