How a Hacker Cut GTA Online’s Loading Time by 70% Using Code Hooks
A reverse‑engineer discovered that GTA Online’s slow startup stems from an inefficient if‑loop that scans a 10 MB JSON file 1.98 billion times, and by hooking strlen and replacing the loop with a hash‑map, reduced load times from six minutes to under two minutes.
Players have complained for years that GTA Online takes excessively long to load, often exceeding five minutes even on high‑end hardware. A hacker used a decompiler and the Luke Stackwalker tool to sample the game’s CPU stack during startup, revealing that most of the delay was caused by a single inefficient code path.
Identifying the bottleneck
Two functions were found to monopolize the CPU. One of them called sscanf on a roughly 10 MB JSON file containing about 63,000 entries, likely related to the in‑game store. The function read each character of every entry sequentially, resulting in an if statement that executed (63,000² + 63,000)/2 ≈ 1.98 billion times.
Meanwhile, memory, GPU, and disk usage remained largely unchanged, confirming that the problem was purely CPU‑bound.
Fixing the issue
The hacker applied two main patches:
Hooked strlen to cache string lengths, avoiding repeated scans of the same data.
Replaced the massive if loop with a hash‑map lookup, eliminating the need for quadratic comparisons.
After recompiling and injecting the modified DLL, the loading sequence dropped from about six minutes to roughly one minute and fifty seconds on the same hardware (AMD FX‑8350 and GTX 1070).
How to apply the patch
The patched DLL and a small script are hosted on GitHub. Users can clone the repository and copy the DLL into the game’s root folder:
git clone --recurse-submodules https://github.com/tostercx/GTAO_Booster_PoCThen replace the original DLL with the provided one.
Original blog post: https://nee.lv/2021/02/28/How-I-cut-GTA-Online-loading-times-by-70/
GitHub repository: https://github.com/tostercx/GTAO_Booster_PoC
Signed-in readers can open the original source through BestHub's protected redirect.
This article has been distilled and summarized from source material, then republished for learning and reference. If you believe it infringes your rights, please contactand we will review it promptly.
Liangxu Linux
Liangxu, a self‑taught IT professional now working as a Linux development engineer at a Fortune 500 multinational, shares extensive Linux knowledge—fundamentals, applications, tools, plus Git, databases, Raspberry Pi, etc. (Reply “Linux” to receive essential resources.)
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