[1903.01003] Hacking Google reCAPTCHA v3 using Reinforcement Learning
source link: https://arxiv.org/abs/1903.01003
Go to the source link to view the article. You can view the picture content, updated content and better typesetting reading experience. If the link is broken, please click the button below to view the snapshot at that time.
Computer Science > Machine Learning
[Submitted on 3 Mar 2019 (v1), last revised 18 Apr 2019 (this version, v3)]
Hacking Google reCAPTCHA v3 using Reinforcement Learning
We present a Reinforcement Learning (RL) methodology to bypass Google reCAPTCHA v3. We formulate the problem as a grid world where the agent learns how to move the mouse and click on the reCAPTCHA button to receive a high score. We study the performance of the agent when we vary the cell size of the grid world and show that the performance drops when the agent takes big steps toward the goal. Finally, we used a divide and conquer strategy to defeat the reCAPTCHA system for any grid resolution. Our proposed method achieves a success rate of 97.4% on a 100x100 grid and 96.7% on a 1000x1000 screen resolution.
| Comments: | Accepted for the Conference on Reinforcement Learning and Decision Making (RLDM) 2019 |
| Subjects: | Machine Learning (cs.LG); Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:1903.01003 [cs.LG] |
| (or arXiv:1903.01003v3 [cs.LG] for this version) | |
| https://doi.org/10.48550/arXiv.1903.01003 |
Submission history
From: Mohamed Akrout [view email][v1] Sun, 3 Mar 2019 22:10:47 UTC (241 KB)
[v2] Tue, 12 Mar 2019 05:22:08 UTC (241 KB)
[v3] Thu, 18 Apr 2019 16:22:33 UTC (192 KB)
Recommend
About Joyk
Aggregate valuable and interesting links.
Joyk means Joy of geeK