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Gym App QR Check-In Rebuilt with AI

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Gym App QR Check-In Rebuilt with AI
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// 1h agoTUTORIAL

Gym App QR Check-In Rebuilt with AI

A developer used GLM 5.3 and DeepSeek v4.1 Flash to reverse-engineer a Flutter gym app’s offline QR check-in system, then rebuilt it as a lightweight SvelteKit web app that avoids the gym’s forced social feed. The process uncovered plaintext key material in device logs and validated the recreated AES/WebCrypto output against the original app. [Source](https://shayon.work/blog/reverse-engineering-gym-pass)

// ANALYSIS

The real lesson is product design: unnecessary engagement mechanics can motivate technically capable users to build an escape hatch.

  • –LLMs made reverse engineering accessible to someone attempting it for the first time, but human intuition still steered the investigation.
  • –Plaintext logs exposed the most damaging weakness; client-side secrets remain vulnerable on rooted devices.
  • –Round-trip crypto tests were misleading because the same implementation errors affected encryption and decryption.
  • –Independent validation with WebCrypto, OpenSSL, known vectors, and real QR output prevented false confidence.
  • –Forcing a social feed onto a utility workflow created friction without improving the core check-in experience.
// TAGS
securitydevtoolautomationai-codinggym-app-qr-generator

DISCOVERED

1h ago

2026-11-05

PUBLISHED

4h ago

2026-11-05

RELEVANCE

6/ 10

AUTHOR

yewenjie