How One “Safe” Optimization Feature Became a Critical Security Failure ⚙️
文章讲述了过度依赖性能优化可能导致严重问题。作者在大规模侦察中使用自动化工具时,一个看似安全的功能引发数据泄露。这强调了优化可能带来的风险。 2026-1-7 06:14:8 Author: infosecwriteups.com(查看原文) 阅读量:6 收藏

Iski

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Life lesson #1:
The thing you optimize the most…
is usually the thing that breaks you the hardest.
(Same applies to relationships, code, and CDN configs.)

I wasn’t even hunting bugs that day.
I was mass-reconning, half-caffeinated, questioning my life choices, and letting automation do the heavy lifting — like every emotionally stable bug bounty hunter does.

And that’s when a “safe performance optimization feature” casually turned into a critical data leak worth real money.

🧠 The Setup: Mass Recon, Minimal Expectations

Like always, the journey started with scale, not brilliance.

subfinder -d target.com -silent | httpx -silent -threads 200 > live.txt

Then I fed it into my usual recon blender:

katana -list live.txt -jc -kf -fx -o endpoints.txt

文章来源: https://infosecwriteups.com/how-one-safe-optimization-feature-became-a-critical-security-failure-%EF%B8%8F-55b00dc462ec?source=rss----7b722bfd1b8d---4
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