验证码
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折磨全球上亿人的“电子酷刑”:验证码,榨干最后一丝耐心
3 6 Ke· 2025-12-24 08:51
更倒霉的是,有时候验证码还会被手机管家当成垃圾短信拦截,翻半天才能找到。 没想到,人类快被小小验证码折腾得怀疑人生了。 你有没有过这样的经历:着急登录APP,却迟迟收不到验证码;好不容易收到了,刚输完就提示"验证码已过期"; 换成人脸识别,对着屏幕调整了N次角度,张嘴、眨眼、摇头、点头...像智障一样一顿操作之后,却等来了一句: "刷脸失败次数过多,请明日再试。" 这不是你一个人的噩梦。 每天,全球几亿人都在重复类似的操作:登录社交账号要验证,打开软件验证,就连出停车场都得输入验证码,证明"自己不是机器人"。 有数据统计,全体人类每天约耗费50万小时在输验证码上,而一个人80岁的人生总时长也不过约70万小时。 无数人把时间和脑细胞都耗在了这场"人机考试"里。 这个原本为了保护网络安全而生的小工具,如今早已变成了折磨人的"数字酷刑"。 最近巨头谷歌更是被曝出,从验证码收集到的数据中获得的价值更是近8980亿美元。 最糟心的是,当初为了区分人类和机器设计的验证码,现在却把人类逼得抓耳挠腮,而真正的机器反而能轻松破解。 这场持续了25年的人机攻防战,到底是怎么走到今天这步田地的? 被逼疯的验证码,到底是怎么诞生的? ...
温州银行将在11月26日凌晨进行数据中心网络系统优化升级
Jin Tou Wang· 2025-11-25 03:37
2025年11月24日,温州银行发布公告称,为了能够向您提供更加优质、高效的金融服务,温州银行将于 2025年11月26日凌晨00:00-05:00进行数据中心网络系统优化升级。在此期间,温信贷公众号小程序、数 字人民币、验证码、人脸识别等业务将暂停对外服务。 请您提前做好有关安排,由此给您带来的不便,敬请谅解。期间如遇任何问题,请致电温州银行客服热 线(浙江地区:96699、上海地区:962699、其它地区:0577-96699),温州银行将竭诚为您服务。 ...
折磨人类的验证码,已经拦不住人机了?
虎嗅APP· 2025-10-06 03:07
以下文章来源于差评X.PIN ,作者江江 差评X.PIN . Debug The World,关注科技、数码、汽车、产经、游戏,传播能改变世界的科技互联网信息。 就在前不久,江江发现, 不管是点击式,九宫格选图,甚至隐式验证,AI agent 居然都能过了。 点击式验证码是最容易破防的。早在 OpenAI 的 Operator 七月刚出世的时候,就有人把它拉来对着 Cloudflare 测了一波。 本文来自微信公众号: 差评X.PIN ,作者:莫莫莫甜甜,编辑:江江、面线,题图来自:AI生成 抢票的时候,突然弹出来这么个玩意儿,你能选对吗? 换个拼图,你每次都能一口气对准吗? 就连有时候打个勾,你可能都得多试两次。 和验证码斗智斗勇这么多年,说实话,咱都有点麻了。 但要是我告诉你,现在上面这些验证码已经拦不住 AI 了,卡关的只有我们这些 100% 纯人类呢? 让机器人自己点击 " 我不是机器人 ",评论区不少人都表示,这实在是有点幽默了。 还有下面这种九宫格点选,老兄自己手搓 agent,后台直连 GPT,立刻实现像素级的识别。 管你是小饼干还是小蛋糕,楼梯还是红绿灯,它看得比人都清楚。 除了显式点击,隐式 ...
AI可以破解AI生成的验证码吗?
3 6 Ke· 2025-04-29 08:26
Core Points - The article discusses the ongoing battle between AI and anti-AI technologies, particularly focusing on CAPTCHA systems and their evolution in response to advancements in AI [3][41]. - It highlights the challenges faced by users due to increasingly complex verification processes, which are designed to distinguish between human and automated interactions [15][43]. Group 1: CAPTCHA Evolution - CAPTCHA was originally designed to differentiate between human users and automated scripts, emerging as a response to the rise of spam and malicious activities online [4][6][8]. - Early CAPTCHAs were simple, but as OCR technology improved, more complex forms of CAPTCHA were developed, including image and audio variations [9][11]. - Modern CAPTCHAs utilize AI algorithms to create dynamic and challenging verification tasks, making it increasingly difficult for both humans and AI to solve them [12][15]. Group 2: AI Countermeasures - AI technologies have also evolved to bypass CAPTCHA systems, employing techniques such as simulating human behavior and using deep learning to recognize patterns in CAPTCHA images [13][22][30]. - Advanced AI can manipulate mouse movements and typing rhythms to mimic human interactions, making it harder for systems to detect automated scripts [22][23][30]. - AI can also utilize distributed requests and intelligent scheduling to avoid detection by anti-automation measures, maintaining a low profile while executing tasks [30]. Group 3: Future of Verification - The article suggests that the ongoing "cat and mouse" game between AI and CAPTCHA will continue, with both sides developing increasingly sophisticated methods [31][41]. - There is a growing trend towards using more user-friendly verification methods, such as behavior analysis and device reputation, to enhance user experience while maintaining security [16][20][46]. - The future may see a shift towards biometric verification methods, which, while secure, are also vulnerable to AI attacks, indicating a need for continuous evolution in security technologies [33][40].
新加坡媒体:“我不是机器人”的验证测试曾令人烦躁,如今却变得危险
Huan Qiu Shi Bao· 2025-04-10 22:45
Core Viewpoint - The article discusses the evolution and current issues surrounding CAPTCHA systems, highlighting their ineffectiveness against advanced bots and the potential security risks they pose to users [1][2][3]. Group 1: CAPTCHA's Original Purpose and Evolution - CAPTCHA, which stands for "Completely Automated Public Turing test to tell Computers and Humans Apart," was invented in the late 1990s to prevent bots from abusing website resources [2]. - Initially designed to thwart spam and fake account creation, CAPTCHA has evolved from simple text distortions to more complex image and audio tests due to advancements in bot technology [3]. Group 2: Current Challenges and Risks - Recent studies indicate that advanced bots can nearly achieve 100% accuracy in solving distorted text CAPTCHAs, while human users only manage a success rate of 50% to 84% [3]. - The increasing complexity of CAPTCHAs leads to user frustration, often resulting in users abandoning web pages altogether [3][4]. - Cybersecurity experts warn that CAPTCHA is now being exploited by hackers as a tool for scams, particularly in investment fraud schemes [2]. Group 3: Alternatives and Future Directions - New technologies are being developed to identify human users without explicit CAPTCHA tests, such as monitoring mouse movements and typing patterns, but these raise privacy concerns [3][4]. - Biometric identification and government ID scanning are considered more reliable alternatives, yet their implementation faces challenges and public resistance [4]. - The current landscape suggests that while CAPTCHA is outdated and potentially harmful, effective and secure alternatives have yet to become widely adopted [4].