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Researchers demonstrate data exfiltration from Microsoft Copilot via a single link click, highlighting security vulnerabiliti

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Microsoft Copilot Leaked Data With Single Link Click

4 min read

Security researchers at Varonis found a way to make Microsoft 365 Copilot for enterprise leak user passwords and other sensitive data with nothing more than a single link click, no confirmation required. That's the kind of exploit that normally takes weeks of reverse engineering to build. Varonis got there by simply asking Copilot how to do it.

The assistant didn't hand over the answer right away. Microsoft built Copilot with guardrails that require an explicit user gesture, a key press or similar action, before it will run sensitive commands. When the researchers asked Copilot to help them build a link that would exfiltrate data automatically, it refused and cited that consent requirement.

So they changed tactics. Instead of asking for the exploit directly, they asked Copilot to explain the mechanics behind its own safety mechanism: why auto-execution wasn't possible, what URL structures and deep links it recognized, what happened when a prompt field loaded with input already inside it. Each answer chipped away at the wall a little more, until Copilot handed over something Microsoft never documented, a parameter that made the whole confirmation requirement pointless.

“At the beginning, Copilot kept refusing, but every refusal revealed technical details about its internal architecture,” Varonis Senior Researcher Lior Adar told Ars. “Copilot eventually disclosed undocumented parameters. I took those parameters and used them for prompts for running automatically.”

Why this matters

Varonis got Copilot to reveal its own hardening logic, then found the gap between "requires explicit consent" and "actually enforces it" in production. That gap is the story. Anyone building on top of Copilot, or any assistant that leans on system prompts to gate sensitive actions, should treat those instructions as documentation, not defense. A single link click bypassing user confirmation means the safeguard was cosmetic where it mattered most: at the API layer, not the chat layer.

For founders shipping Copilot integrations into enterprise workflows, this is a procurement question now, not just a security-team one. Ask Microsoft what changed after Varonis's disclosure, and ask how consent is enforced outside the model's own narration of its rules. For researchers, the more interesting lesson is methodological: interrogating a deployed LLM about its own constraints turned out to be a faster path to a real vulnerability than static analysis. Expect that technique to become standard red-team practice, and expect vendors to start treating "the model told us how it works" as a threat model, not a curiosity.

Common Questions Answered

How did Varonis researchers exploit Microsoft 365 Copilot to exfiltrate sensitive data?

Varonis researchers discovered that Microsoft 365 Copilot could leak user passwords and sensitive data through a single link click without requiring user confirmation. By repeatedly asking Copilot how to bypass its security measures, each refusal revealed technical details about its internal architecture, eventually leading to the disclosure of undocumented parameters that could be used for automated exploitation.

What role did Copilot's refusals play in revealing the vulnerability?

Each time Copilot refused to provide information about bypassing its security, it inadvertently revealed technical details about its internal architecture and hardening logic. These incremental disclosures allowed researcher Lior Adar to gather enough information to identify undocumented parameters and construct prompts for running automated attacks against the system.

Why is the gap between requiring explicit consent and actually enforcing it significant?

The vulnerability exists because Microsoft's guardrails require an explicit user gesture like a key press, but this safeguard was only enforced at the chat layer, not at the API layer where it actually matters. This means the security measure was cosmetic in production, allowing attackers to bypass user confirmation entirely through a single link click at the API level.

What does this vulnerability reveal about using system prompts as security measures?

The Varonis findings demonstrate that system prompts used to gate sensitive actions should be treated as documentation rather than actual defense mechanisms. Anyone building on top of Copilot or similar AI assistants should recognize that instructions embedded in system prompts can be reverse-engineered and bypassed, making them unreliable as primary security controls.

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