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One‑click exploit (CVE‑2026‑42824) lets hackers pull emails, calendar and files from Copilot Enterprise Search; Microsoft says it’s mitigated but the flaw
A single malicious link can trigger Microsoft 365 Copilot Enterprise Search to exfiltrate a victim’s email, calendar and indexed files without any password or second click, a vulnerability that researchers label “SearchLeak” and which Microsoft rated as critical [CVE‑2026‑42824] [3].
| At a glance | |
|---|---|
| Vulnerability name | SearchLeak (also called SearchLink) |
| Exploit method | One‑click indirect prompt injection |
| Severity | Critical (CVSS rating not disclosed) |
| Mitigation status | Fully mitigated by Microsoft as of advisory release |
Varonis Threat Labs researcher Dolev Taler described a three‑stage chain that turns Copilot’s Enterprise Search into a silent data‑exfiltration tool. The attack hinges on a “parameter‑to‑prompt injection” where a crafted URL contains a q parameter that Copilot interprets both as a search query and as executable instructions. When a user clicks the link, Copilot searches the victim’s mailbox, embeds retrieved content in an image URL, and routes the data through Bing, effectively stealing information in a single step [1].
Microsoft issued an advisory on June 4, assigning the vulnerability CVE‑2026‑42824 and labeling it critical. The advisory notes the flaw had not been observed in the wild and was fully mitigated by the time of publication, suggesting a rapid patch rollout [3]. However, the incident underscores how AI‑enabled features can amplify classic security bugs, creating new attack surfaces that bypass traditional phishing filters because the malicious link points to a legitimate microsoft.com domain [1].
The SearchLeak exploit joins earlier Varonis findings such as the “Reprompt” vulnerability, highlighting a trend where AI assistants become vectors for data leakage. Competitors offering enterprise copilots—e.g., Salesforce Einstein—must now consider similar indirect prompt injection risks, as the underlying technique can be adapted to any AI‑driven interface that processes user‑supplied prompts [2].
The SearchLeak case demonstrates that AI features can turn ordinary web links into powerful exfiltration tools, raising the stakes for enterprises that rely on copilot‑driven productivity and prompting a reassessment of AI security controls.
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Inc. describes the SearchLink vulnerability as a three‑stage chain that uses a parameter‑to‑prompt injection to covertly extract data when a user clicks a malicious link.
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