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Claude in Chrome 全面上线,可自主执行浏览器操作

Claude in Chrome is generally available August 26, 2026

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做浏览器自动化 Agent 的同学注意了,Claude in Chrome 全面开放且支持自主操作,安全防护数据也很有参考价值,建议直接装来实测一下。

Claude in Chrome is generally available

Claude 现已普遍适用于 Chrome 浏览器

Give Claude a task in your browser, work across tabs, and continue the conversation in the desktop, mobile, and web apps.

在浏览器中给 Claude 分配任务,跨标签页工作,并在桌面、移动端和网页应用中继续对话。

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Claude in Chrome is now generally available on every paid Claude plan. Claude can now also take actions autonomously in the browser, instead of needing approval for every one. A safety classifier validates each action before it’s performed to ensure it’s safe and matches your request.

Claude 现已对所有付费 Claude 计划普遍适用于 Chrome 浏览器。Claude 现在也能在浏览器中自主执行操作,无需每次操作都获得批准。一个安全分类器会在每次操作执行前进行验证,确保其安全且符合您的请求。

Many of the tools you use every day connect to Claude. But many others don’t, such as internal dashboards, legacy systems, and vendor portals. Claude in Chrome lets Claude access those. It can view the page you’re on and take actions like reading and typing text, clicking links, navigating between pages, and filling out forms, using your existing logins.

您日常使用的许多工具都与 Claude 连接。但许多其他工具并未连接,例如内部仪表板、遗留系统和供应商门户。Claude in Chrome 让 Claude 能够访问这些工具。它可以查看您当前所在的页面,并执行诸如阅读和输入文本、点击链接、页面间导航以及填写表单等操作,利用您现有的登录信息。

We first announced Claude in Chrome as a pilot last year, so we could test it while also shoring up our defenses against prompt injection: malicious instructions hidden in websites, emails, or documents that try to trick an AI agent into acting against the user’s wishes. These defenses, described below, give us the confidence to make Claude in Chrome generally available.

我们去年首次将 Claude in Chrome 作为试点项目宣布,以便在测试的同时加强我们对提示注入的防御:隐藏在网站、电子邮件或文档中的恶意指令,试图诱骗 AI 代理违背用户意愿行事。这些防御措施(如下所述)让我们有信心将 Claude in Chrome 全面推出。

Safeguarding against prompt injection

防范提示注入

As we outlined when we announced the pilot, an AI agent that works in your browser is also vulnerable to prompt injection. So we’ve worked to improve our safeguards before releasing Claude in Chrome more widely.

正如我们在宣布试点项目时所概述的,在浏览器中工作的 AI 代理也容易受到提示注入的攻击。因此,在更广泛地发布 Claude in Chrome 之前,我们一直在努力改进我们的防护措施。

In a prompt injection attack, malicious actors hide instructions in web content such as a web page, an email, or a form field. You may never see them, but these instructions can redirect the agent to do something you never asked for. For example, if you’ve asked Claude to draft replies to your emails, a hidden instruction in one message could tell Claude to forward your other emails to the attacker instead.

在提示注入攻击中,恶意行为者将指令隐藏在网页、电子邮件或表单字段等网络内容中。您可能永远不会看到这些指令,但它们可以引导代理执行您从未要求过的操作。例如,如果您要求 Claude 起草回复您的电子邮件,一条消息中的隐藏指令可能会告诉 Claude 将您的其他邮件转发给攻击者。

At launch, we described how we tested Claude’s defenses against these attacks and the safeguards we had in place at the time; we later released a more detailed description of our browser-use safeguards. Since then, we’ve improved how we train both the model and our probes, and added an additional set of classifiers that make it possible for Claude to safely take more autonomous actions in Chrome. In the next section, we discuss the results of our evaluations, which show the efficacy of these safeguards.

在发布时,我们描述了如何测试Claude对这些攻击的防御能力以及当时我们已实施的安全措施;随后,我们发布了关于浏览器使用安全措施的更详细说明。自那以后,我们改进了对模型和探针的训练方法,并增加了一套额外的分类器,使Claude能够在Chrome中安全地执行更多自主操作。在下一节中,我们将讨论评估结果,这些结果显示了这些安全措施的有效性。

Claude recognizes more attacks. We train Claude against a growing library of prompt injection attacks, sourced from our internal automated attackers, external red-teamers, and real-world monitoring. When a new attack succeeds against a current model, it’s added to the library, where it informs the training of future models and our deployed safeguards so they learn to recognize it. Since we first wrote about our prompt injection defenses for browser use in November 2025, we’ve made Claude substantially more resistant to these attacks.

Claude能识别更多攻击。我们针对不断增长的提示注入攻击库训练Claude,这些攻击来源于我们的内部自动化攻击者、外部红队成员以及现实世界监控。当新攻击对当前模型成功时,它会被添加到库中,用于指导未来模型的训练和我们部署的安全措施,使它们学会识别这种攻击。自2025年11月我们首次撰写关于浏览器使用提示注入防御的文章以来,我们已经使Claude对这些攻击的抵抗力显著增强。

Probes screen web content before Claude acts on it. Web content reaches Claude through tool results. To take an action like reading a page or opening an email, the model makes a tool call; the tool result lets the model read the output (in this case, the content of the page or the email). We train probes to scan those results for potential prompt injections. When a probe detects a likely attack, Claude is warned to treat the content with suspicion and, if needed, to check with you before taking an action. We first deployed these probes with Claude Opus 4.5, and have since expanded the types of attacks they cover.

探针在Claude行动前筛选网页内容。网页内容通过工具结果到达Claude。要执行如阅读页面或打开电子邮件等操作,模型会进行工具调用;工具结果让模型读取输出(在这种情况下,是页面或电子邮件的内容)。我们训练探针扫描这些结果以寻找潜在的提示注入。当探针检测到可能的攻击时,Claude会被警告要怀疑地对待该内容,并在必要时,在采取行动前与您确认。我们首次在Claude Opus 4.5中部署了这些探针,此后扩展了它们覆盖的攻击类型。

Actions are verified before they run. In Claude in Chrome, Claude will now automatically approve actions it determines to be safe, using the same mechanism as auto mode in Claude Code. (You can switch this off in your settings if you’d prefer to continue to approve Claude’s actions manually.) A classifier reviews actions Claude is about to take, such as navigating to a new website or entering text into a page, and checks them against what you originally asked for. If the action doesn’t match your request, it’s blocked.

行动在运行前得到验证。在Chrome中的Claude中,Claude现在会自动批准它确定为安全的行动,使用与Claude Code中自动模式相同的机制。(如果您更愿意继续手动批准Claude的行动,可以在设置中关闭此功能。)一个分类器会审查Claude即将采取的行动,如导航到新网站或在页面中输入文本,并将其与您最初的要求进行核对。如果行动与您的请求不符,它将被阻止。

Measuring Claude’s robustness against prompt injection

衡量Claude对提示注入的鲁棒性

We’ve tested these safeguards to ensure that Claude in Chrome is safe to use for browser-based work. Here, we report the results from our most recent evaluations.

我们已经测试了这些安全措施,以确保Chrome中的Claude在基于浏览器的任务中安全使用。在此,我们报告最近评估的结果。

On our initial evaluation testing Claude Cowork’s resilience against prompt injection attacks (first developed when we released the Claude in Chrome pilot), no attack succeeded against Claude Fable 5, Claude Opus 5, or Claude Sonnet 5 in the Cowork harness, even without the probes and classifiers discussed above.

在我们最初的评估测试中,测试了Claude Cowork对提示注入攻击的抵抗力(该测试最初在我们发布Claude in Chrome试点时开发),在Cowork环境中,即使没有上述的探测器和分类器,也没有任何攻击能够成功突破Claude Fable 5、Claude Opus 5或Claude Sonnet 5。

Success rate of prompt injection attacks against Claude Opus 4.5, Sonnet 5, Opus 5, and Fable 5. Opus 4.5 was run with extended thinking, since it does not support our newer default of adaptive thinking. All other models were run with adaptive thinking at medium effort as the default. The results discussed in our November 2025 blog post were run without extended thinking enabled, but because thinking cannot be disabled for Fable 5, we report thinking-enabled results here. The grader model used in November is also no longer available, so we moved to a more capable grading pipeline combined with manual review of successful attacks, which produces fewer false positives.

针对Claude Opus 4.5、Sonnet 5、Opus 5和Fable 5的提示注入攻击成功率。Opus 4.5在运行扩展思考模式下进行,因为它不支持我们较新的默认自适应思考模式。所有其他模型均以中等努力度的自适应思考作为默认设置运行。我们在2025年11月博客文章中讨论的结果是在未启用扩展思考的情况下运行的,但由于Fable 5无法禁用思考功能,我们在此报告启用思考功能的结果。11月使用的评分模型也已不再可用,因此我们转向了更强大的评分流程,并结合对成功攻击的人工审查,这减少了误报。

Because we saturated that evaluation (as evidenced by the 0% success rate), we decided to retire it. On our current evaluation, which uses stronger attacks sourced by professional red-teamers, attacks that reached the model succeeded against Opus 4.5 17.6% of the time and against Opus 5 3.8% of the time, before any additional safeguards. With the strongest safeguards available in November 2025, attacks against Opus 4.5 running with probes succeeded 16.7% of the time. Against every model from Opus 4.8 onwards, when running with probes and the safety classifier, no attacks succeeded against Claude Sonnet 5, Claude Opus 5, or Claude Mythos 5. We saw a 0.3% attack success rate against Fable 5. We have manually verified that all successful breaks are in low-severity scenarios and are working to mitigate them.

由于我们饱和了该评估(如0%的成功率所示),我们决定将其退役。在我们当前的评估中,使用了由专业红队成员提供的更强攻击,在没有任何额外防护措施的情况下,到达模型的攻击对Opus 4.5的成功率为17.6%,对Opus 5的成功率为3.8%。使用2025年11月可用的最强防护措施,对运行探测器的Opus 4.5的攻击成功率为16.7%。对于从Opus 4.8开始的每个模型,当运行探测器和安全分类器时,没有攻击成功突破Claude Sonnet 5、Claude Opus 5或Claude Mythos 5。我们看到对Fable 5的攻击成功率为0.3%。我们已人工验证所有成功的突破均属于低严重性场景,并正在努力缓解这些问题。

No attacks succeeded against Claude Sonnet 5 or Opus 5 with probes plus the automatic approval safety classifiers, and 0.3% of attacks succeeded against Fable 5. Opus 4.5’s model behavior resulted in a lower number of attacks reaching the model, but it still had the highest percentage of successful attacks.

对于Claude Sonnet 5或Opus 5,在运行探测器和自动审批安全分类器的情况下,没有攻击成功,而对Fable 5的攻击成功率为0.3%。Opus 4.5的模型行为导致到达模型的攻击数量较少,但其成功攻击的百分比仍然最高。

Prompt injection remains a moving target. While this approach defends against current attacks, we also need to ensure our safeguards stay ahead of the evolving methods of attackers. With each model release, we continue to invest in developing more sophisticated automated systems for attack discovery, red-teaming, and building stronger classifiers.

提示注入仍然是一个不断变化的目标。虽然这种方法能防御当前的攻击,但我们还需要确保我们的防护措施能领先于攻击者不断演变的方法。随着每个模型的发布,我们持续投资于开发更复杂的自动化系统,用于攻击发现、红队测试和构建更强的分类器。

Getting started

开始使用

To start using Claude in Chrome, install it from the Chrome Web Store. On Enterprise plans, admins can manage it in Organization Settings and limit it to approved domains. See the admin setup guide.

要在Chrome中使用Claude,请从Chrome网上应用店安装。在企业版计划中,管理员可以在组织设置中管理它,并将其限制在已批准的域名内。请参阅管理员设置指南。

You’ll still need to use the Claude desktop app to work with files on your computer or with other applications. Claude in Chrome doesn’t run on other Chromium browsers or on mobile yet.

您仍然需要使用Claude桌面应用来处理计算机上的文件或与其他应用程序交互。Claude在Chrome中目前不支持其他Chromium浏览器,也不支持移动设备。

¹ Not all attacks reach—i.e., are seen by—the model. In some cases, the actions Claude takes result in it never encountering the malicious instructions.

¹ 并非所有攻击都能到达模型——即被模型看到。在某些情况下,Claude采取的行动导致它从未遇到恶意指令。

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