HackerReposA FIELD GUIDE TO OPEN SOURCE
ProSponsor the shelf♧ 0
← Back to top all-time
aplesner
Breaking-reCAPTCHAv2
Python2024–2024
aplesner / Breaking-reCAPTCHAv2

Breaking-reCAPTCHAv2

Code for the paper Breaking reCAPTCHAv2 accepted at COMPSAC 2024

2Distinct people
2Mentions
0Explicit recommenders
388GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Code for the paper Breaking reCAPTCHAv2 accepted at COMPSAC 2024

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by day2 dated mentions

Observed mentions: 2024-09-17 18:58:15 UTC to 2024-09-30 14:43:35 UTC.

012024-09-17 00:00:00 UTC to 2024-09-18 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsSep 172024-09-18 00:00:00 UTC to 2024-09-19 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-09-19 00:00:00 UTC to 2024-09-20 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-09-20 00:00:00 UTC to 2024-09-21 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-09-21 00:00:00 UTC to 2024-09-22 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-09-22 00:00:00 UTC to 2024-09-23 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-09-23 00:00:00 UTC to 2024-09-24 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsSep 232024-09-24 00:00:00 UTC to 2024-09-25 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-09-25 00:00:00 UTC to 2024-09-26 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-09-26 00:00:00 UTC to 2024-09-27 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-09-27 00:00:00 UTC to 2024-09-28 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-09-28 00:00:00 UTC to 2024-09-29 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-09-29 00:00:00 UTC to 2024-09-30 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-09-30 00:00:00 UTC to 2024-10-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsSep 30

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Sep 172024-09-17 00:00:00 UTC2024-09-18 00:00:00 UTC101
Sep 182024-09-18 00:00:00 UTC2024-09-19 00:00:00 UTC000
Sep 192024-09-19 00:00:00 UTC2024-09-20 00:00:00 UTC000
Sep 202024-09-20 00:00:00 UTC2024-09-21 00:00:00 UTC000
Sep 212024-09-21 00:00:00 UTC2024-09-22 00:00:00 UTC000
Sep 222024-09-22 00:00:00 UTC2024-09-23 00:00:00 UTC000
Sep 232024-09-23 00:00:00 UTC2024-09-24 00:00:00 UTC000
Sep 242024-09-24 00:00:00 UTC2024-09-25 00:00:00 UTC000
Sep 252024-09-25 00:00:00 UTC2024-09-26 00:00:00 UTC000
Sep 262024-09-26 00:00:00 UTC2024-09-27 00:00:00 UTC000
Sep 272024-09-27 00:00:00 UTC2024-09-28 00:00:00 UTC000
Sep 282024-09-28 00:00:00 UTC2024-09-29 00:00:00 UTC000
Sep 292024-09-29 00:00:00 UTC2024-09-30 00:00:00 UTC000
Sep 302024-09-30 00:00:00 UTC2024-10-01 00:00:00 UTC110

What Hacker News says

2 sources
https://github.com/aplesner/Breaking-reCAPTCHAv2 > CAPTCHAs (Completely Automated Public Turing Tests to Tell Computers and Humans Apart) have been a vital security measure on the internet, protecting websites from automated bots and malicious activities. However, with the rapid advancements in machine learning and artificial intelligence, the effectiveness of CAPTCHAs in distinguishing between humans and machines has come into question. > This semester project focuses on Google's reCAPTCHAv2 system, which is widely used across the web. We aim to analyze the effectiveness of reCAPTCHAv2 in rejecting bots using advanced deep learning models such as YOLO (You Only Look Once). Our research explores the vulnerabilities of image-based CAPTCHAs and develops efficient methods to solve them using state-of-the-art machine learning techniq
Read the rest
ues. > Our main findings include: > We can solve 100% of the CAPTCHAs presented by reCAPTCHAv2, surpassing the success rates of previous works, which range from 68% to 71%. > There is no significant difference in the number of challenges required by humans and bots to solve CAPTCHAs in reCAPTCHAv2, suggesting that current AI technologies can effectively exploit advanced image-based CAPTCHAs. > reCAPTCHAv2 heavily relies on cookie and browser history data when evaluating whether a user is human or not, highlighting the importance of considering user-specific data in CAPTCHA design.
In Breaking ReCAPTCHAv2

MAKE YOURSELF AT HOME

A few shortcuts

/
Search the collection
?
Open this guide
Esc
Close dialogs and navigation

Your saved repositories and interests stay in this browser.