akamai developer-tools scripting code-obfuscation

Decoding the obfuscated bash script on a Uniqlo t-shirt

Obfuscated, self-evaluating bash script by CDN Akamai being supplied to consumers via retail stores

tris.sherliker.net

July 8, 2026

5 min read

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79/100

Summary

Akamai is supplying an obfuscated, self-evaluating bash script to consumers via retail stores, which is printed on t-shirts. The script is designed to execute and print a happy Easter egg message.

Key Takeaways

Akamai is supplying an obfuscated bash script on t-shirts sold in Uniqlo stores as part of their Peace for All campaign.
The script is designed to print a happy Easter egg message and includes a shebang line.
The base64 encoded string on the t-shirt requires perfect transcription due to the lack of error correction in base64.
The t-shirt design features a heart in curly braces on the front and an alphanumeric block on the back.

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Coverage & discussions

Hacker News · tris.sherliker.net

Decoding the obfuscated bash script on a Uniqlo t-shirt ↗

Community discussions

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Historical count: 5 · 5 saved in sample · Historical sample

Analysis ready

Community Sentiment

Mixed

Positives

OCRing this shirt's script is a real test for any so-called good OCR or vision model — a challenge that could push model capabilities to the next level.
The idea of using a decent agentic harness with a solid vision model to OCR the script opens up exciting possibilities for practical applications in real-world scenarios.
It's fascinating to think about whether this script was generated by an LLM before obfuscation, hinting at the creative interplay between AI and human design.

Concerns

Skeptics point out that the script's structure and intentional obfuscation suggest it was crafted specifically to thwart AI processing, raising concerns about AI's limitations in handling complex tasks.
Some commenters feel the performance of OCR tools on this script is underwhelming, noting that even advanced features struggle with certain segments, indicating room for improvement in model training.