Microsoft 365 Copilot can be turned into a one-click data theft tool — inbox, OneDrive, and SharePoint data all at risk, so patch now

Pro Security Microsoft 365 Copilot can be turned into a one-click data theft tool — inbox, OneDrive, and SharePoint data all at risk, so patch now News By Sead Fadilpašić published 16 June 2026 Varonis found a way to chain three bugs into one exploit When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works . (Image credit: sarayut Thaneerat/ via Getty Images) Copy link Facebook X Whatsapp Reddit Pinterest Flipboard Threads Email Share this article 0 Join the conversation Follow us Add us as a preferred source on Google Newsletter Subscribe to our newsletter Varonis uncovered “SearchLeak,” chaining three flaws in Microsoft 365 Copilot to enable one‑click data theft Attack exploited prompt injection, HTML race condition, and Bing SSRF to exfiltrate inbox, OneDrive, and SharePoint data Microsoft patched CVE‑2026‑42824 earlier this month, rating it 10/10 critical Experts have uncovered a way to turn Microsoft 365 Copilot into a one-click data theft tool, capable of exfiltrating sensitive information from people’s inbox, OneDrive, and SharePoint instances. The method was recently patched by Microsoft having been developed by security researchers Varonis, who dubbed the method SearchLeak, explaining it works by chaining together three vulnerabilities. Separately, these three can’t do much harm, but together, they are strong enough to warrant a patch. Latest Videos From Watch full video here: Exfiltration proxy The three flaws being chained are a parameter-to-prompt injection, an HTML rendering race condition, and a content-security-policy (CSP) bypass enabled by Bing server-side request forgery (SSRF). The attack starts when a victim clicks a specially crafted Microsoft 365 Copilot Enterprise Search link. The URL holds hidden instructions in the search query parameter, telling Copilot to search the victim’s emails, OneDrive files, SharePoint documents, or calendar data and include the results inside an image URL. You may like Three high-risk AI vulnerabilities discovered in Claude.ai – end-to-end attack chain exfiltrates sensitive info without user knowing The FBI warns Microsoft 365 services are being bombarded with new phishing emails — here are 3 steps you can take to stay safe This worrying Microsoft BitLocker backdoor can grant full access to a locked drive — and all you need is a USB stick As Copilot generates its response, a race condition causes the browser to briefly render attacker-controlled HTML before Microsoft’s sanitization process completes. This allows an image tag containing the stolen data to execute. Finally, the image request is routed through Bing’s “Search by Image” feature, and because of the SSRF flaw, Bing can fetch the attacker-controlled URL on the victim’s behalf and bypass Content Security Policy protections. The sensitive data embedded in the URL is thus transmitted to the attacker’s server, where they can recover it from web request logs Are you a pro? Subscribe to our newsletter Sign up to the TechRadar Pro newsletter to get all the top news, opinion, features and guidance your business needs to succeed! Contact me with news and offers from other Future brands Receive email from us on behalf of our trusted partners or sponsors By submitting your information you agree to the Terms & Conditions and Privacy Policy and are aged 16 or over. “Bing becomes an unwitting exfiltration proxy ,” the researchers explained. “A classic SSRF, hiding in plain sight behind a CSP allowlist entry.” Varonis says that on the victim’s side, all they see is a normal Copilot search session, and stressed that AI has transformed simple, easily addressed vulnerabilities, such as SSRF and HTML injection race conditions, into potent vulnerabilities. Earlier this month, Microsoft patched the flaw, assigning it a maximum severity rating (10/10 critical), and tracking it as CVE-2026-42824. Via BleepingComputer The best antivirus for all budgets Our top picks, based on real-world testing a

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