ShadowLeak: Zero-Click ChatGPT Exploit Steals Gmail Data, Now Patched

ShadowLeak is a zero-click vulnerability in OpenAI's ChatGPT Deep Research agent that exploits hidden HTML prompts in emails to silently exfiltrate Gmail data via the AI's cloud infrastructure. Discovered by Radware, it was patched in September 2025, highlighting risks in AI integrations and urging enhanced security measures for enterprises.
ShadowLeak: Zero-Click ChatGPT Exploit Steals Gmail Data, Now Patched
Written by Elizabeth Morrison

In the rapidly evolving world of artificial intelligence and cybersecurity, a newly disclosed vulnerability has sent shockwaves through the tech industry, highlighting the precarious intersection of AI agents and personal data security. Dubbed ShadowLeak, this zero-click flaw exploits OpenAI’s ChatGPT Deep Research agent to silently exfiltrate sensitive information from users’ Gmail accounts without any user interaction. According to a detailed report from The Hacker News, the vulnerability stems from hidden HTML prompts embedded in seemingly innocuous emails, allowing attackers to bypass traditional security measures and leverage the AI’s web-browsing capabilities for data theft.

The mechanics of ShadowLeak are particularly insidious, as they operate entirely on OpenAI’s cloud infrastructure rather than the victim’s device. Researchers at cybersecurity firm Radware, who first uncovered the issue, explain that an attacker can craft an email with invisible instructions that, when processed by ChatGPT’s agent connected to a user’s Gmail, triggers autonomous data extraction. This could include emails, attachments, or contact details, all funneled to a malicious server without the user ever opening the message or granting explicit permission.

Understanding the Zero-Click Threat Mechanism: A Deeper Technical Breakdown At its core, ShadowLeak represents what Radware terms a “service-side leaking, zero-click indirect prompt injection” attack. Unlike conventional prompt injections that require user engagement, this flaw activates when ChatGPT’s Deep Research agent—designed for tasks like summarizing web content or analyzing emails—encounters the rigged HTML. As detailed in Radware’s own advisory on their security blog, the agent interprets the hidden prompts as legitimate commands, effectively turning the AI into an unwitting accomplice in data exfiltration. This bypasses Gmail’s built-in protections and even OpenAI’s safeguards, raising alarms about the risks of integrating AI with sensitive enterprise tools.

The discovery comes amid a surge in AI-related vulnerabilities, with experts warning that such exploits could affect millions of business users who rely on ChatGPT for productivity. Infosecurity Magazine reported in a recent piece that the flaw was identified during routine testing of ChatGPT’s integrations, emphasizing how the agent’s ability to “browse” external content creates unintended attack vectors. OpenAI swiftly patched the issue following Radware’s responsible disclosure, but the incident underscores broader concerns about the security of AI agents that operate with minimal oversight.

The Broader Implications for AI Security and Enterprise Risk Industry insiders are now scrutinizing the implications for enterprise environments, where tools like ChatGPT are increasingly embedded in workflows. A post on X from cybersecurity analyst Nicolas Krassas highlighted the vulnerability’s potential scale, noting it could impact over 5 million business users globally, based on OpenAI’s user base estimates. This echoes sentiments in an Ars Technica analysis, which pointed out that ShadowLeak executes server-side, making it harder to detect than client-based attacks. The flaw’s zero-click nature means no phishing lures or malware installations are needed—just a targeted email that lands in the inbox.

Comparisons to past vulnerabilities, such as zero-day exploits in Chrome addressed by Google earlier this year, reveal a pattern of escalating threats in interconnected systems. Security Affairs covered how ShadowLeak fits into a timeline of AI prompt injection attacks, but this one stands out for its indirect, hands-off approach. Radware’s team demonstrated a proof-of-concept where the AI agent, upon “reading” the email, autonomously navigates to a attacker-controlled site and uploads stolen data, all while the user remains oblivious.

How OpenAI Responded and What It Means for Future Defenses OpenAI’s response was prompt, with a patch rolled out in September 2025, as confirmed in reports from The Record by Recorded Future News. The company enhanced prompt filtering and restricted the agent’s web interactions when connected to external services like Gmail. However, questions linger about accountability: Should AI providers bear more responsibility for third-party integrations? Finance Yahoo’s coverage of Radware’s announcement quotes experts urging businesses to audit AI tool permissions, especially in sectors like finance and healthcare where data breaches could have catastrophic consequences.

This incident also fuels debates on regulatory oversight for AI security. Posts on X from outlets like The Cyber Security Hub reflect growing user anxiety, with many calling for mandatory vulnerability disclosures in AI products. As one industry observer noted in a thread, the rise of autonomous agents amplifies risks, potentially leading to a new era of “AI-mediated” cyber threats that traditional antivirus can’t counter.

Lessons Learned and Strategies for Mitigation in the AI Era For organizations, mitigating such risks involves layered defenses: disabling unnecessary AI integrations, monitoring email traffic for anomalous HTML, and educating users on the perils of over-reliance on automated tools. Cybersecurity News detailed a similar zero-click flaw in other AI agents, suggesting that ShadowLeak is not an isolated case but part of a systemic issue in how AI processes untrusted inputs. Experts recommend adopting zero-trust models even for cloud-based AI, ensuring that agents operate in sandboxed environments.

Looking ahead, the ShadowLeak saga may accelerate innovations in AI security, such as advanced anomaly detection or blockchain-verified prompts. As Red Hot Cyber reported, the exploit’s discovery has already prompted OpenAI to bolster its Deep Research agent’s safeguards, but the cat-and-mouse game with attackers continues. For industry insiders, this serves as a stark reminder that as AI becomes more embedded in daily operations, so too do the vulnerabilities it introduces—demanding vigilance, collaboration, and proactive engineering to stay ahead of emerging threats.

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