AI SECURITY
Malicious Links Compromise AI Assistant Data
A newly discovered vulnerability allowed attackers to exploit Microsoft Copilot through malicious links, potentially exposing sensitive user data without direct interaction.
- Read time
- 7 min read
- Word count
- 1,423 words
- Date
- Jan 24, 2026
Summarize with AI
Security researchers recently unveiled a technique, dubbed 'Reprompt,' demonstrating how malicious links could trick Microsoft Copilot into executing hidden instructions. This vulnerability, now patched by Microsoft, highlighted a critical security concern where a single click could compromise user data linked to their Microsoft account. The attack exploited Copilot's ability to process queries embedded in URLs, bypassing initial security checks and potentially exfiltrating information discreetly. Although the specific flaw has been addressed, the incident underscores the ongoing need for robust security practices and user vigilance in an evolving landscape of AI-powered tools and potential cyber threats.

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New Vulnerability Exposes AI Assistant Data Through Malicious Links
Security researchers at Varonis recently uncovered a sophisticated technique, which they named âReprompt,â that could have allowed attackers to manipulate Microsoft Copilot through specially crafted links. This method demonstrated how hidden instructions embedded within a seemingly innocuous link could compel the AI assistant to perform actions on a userâs behalf. The findings brought to light a significant potential vulnerability in the interaction between users and AI tools.
The core of the issue resided in Copilotâs connection to a userâs Microsoft account. Depending on usage patterns, Copilot could access past conversations, user queries, and certain personal data associated with the account. While Copilot typically incorporates safeguards to prevent the unauthorized disclosure of sensitive information, the Reprompt technique revealed a bypass around some of these existing protections. This discovery underscores the evolving challenges in securing AI-driven platforms that integrate deeply with personal digital environments.
Understanding the Reprompt Attack Mechanics
The attackâs initiation was remarkably simple, requiring just a single click from an unsuspecting user. When a user opened a malicious Copilot link, potentially distributed via email or messaging platforms, the AI assistant could automatically process embedded instructions. This process occurred without any visible prompts, installations, or warnings to the user, making the attack highly stealthy.
Once activated, Copilot could continue to respond to these hidden instructions in the background, leveraging the userâs already logged-in session. Disturbingly, even closing the Copilot tab did not immediately halt the attack, as the active session could persist for a period. This prolonged persistence increased the window of opportunity for attackers to exfiltrate data or carry out other malicious activities, making the Reprompt method particularly concerning for user privacy and security.
Varonis identified that Copilot accepts queries through specific parameters within its web address, which allowed attackers to conceal commands directly within the URL. Upon loading the page, Copilot would immediately execute these embedded instructions. This direct injection method formed the foundation of the attack, bypassing standard input mechanisms and user validation.
Bypassing Security Measures and Data Exfiltration
The researchers combined several ingenious tactics to circumvent Copilotâs inherent data leakage prevention mechanisms. Initially, they directly injected instructions into Copilot via the malicious link, enabling the AI to access information it would normally be restricted from sharing. This direct command execution provided an initial foothold for the attackers.
A key aspect of the exploit involved a âtry twiceâ strategy. Copilot typically enforces stricter security checks during the initial processing of a request. However, by instructing Copilot to repeat an action and self-verify, researchers discovered that these more stringent protections could sometimes fail on the second attempt. This allowed the AI to inadvertently bypass safeguards that were designed to prevent sensitive data exposure.
Furthermore, the research demonstrated that Copilot could be engineered to continuously receive follow-up instructions from a remote server controlled by the attacker. In this scenario, each response from Copilot subtly helped generate the subsequent request, facilitating the quiet exfiltration of data piece by piece. This created an invisible, continuous interaction where Copilot unknowingly worked for the attacker using the legitimate userâs session, all without any visible signs of compromise to the user.
Microsoftâs Response and Broader Implications for AI Security
Varonis commendably followed responsible disclosure protocols, reporting the vulnerability to Microsoft. The company subsequently addressed the issue, implementing a fix as part of its January 2026 Patch Tuesday updates. Crucially, there is no evidence to suggest that the Reprompt technique was exploited in any real-world attacks prior to the patch.
A Microsoft spokesperson acknowledged Varonis Threat Labsâ responsible reporting and confirmed that protections addressing the described scenario have been deployed. The company also stated its commitment to implementing additional measures to strengthen safeguards against similar techniques, reinforcing its defense-in-depth security strategy. It is important to note that this specific vulnerability impacted only Copilot Personal, with Microsoft 365 Copilot benefiting from additional security layers, including auditing, data loss prevention, and administrative controls for business users.
This research, even with the vulnerability patched, holds significant importance because it highlights a broader challenge in the rapidly evolving landscape of AI assistants. These tools increasingly possess capabilities such as access to personal data, memory of past interactions, and the ability to act autonomously on behalf of users. This potent combination makes them exceptionally powerful but also inherently risky if their protective mechanisms falter. As researchers aptly pointed out, the potential danger escalates significantly when autonomy and access converge in AI systems. The incident serves as a stark reminder that as AI becomes more integrated into daily life, the security vulnerabilities associated with these intelligent tools will require continuous scrutiny and proactive mitigation.
Essential Safeguards in the Age of AI
Even with the Reprompt vulnerability addressed, adopting robust security habits remains critical as AI tools become more prevalent in daily digital interactions. Proactive measures are essential to protect personal data and maintain online safety. Integrating these practices into your routine can significantly reduce risks.
Prioritizing System Updates and Secure Practices
Ensuring all security fixes are installed is paramount for protection. Attacks often exploit known vulnerabilities for which patches are already available. Therefore, enabling automatic updates for Windows, browsers like Edge, and other critical software ensures that crucial fixes are applied promptly. Delaying these updates can leave a significant window during which attackers can exploit known weaknesses, potentially compromising your system.
Just as one would exercise caution with unsolicited password reset links, similar vigilance is necessary for unexpected Copilot links. Even links that appear legitimate can be weaponized by malicious actors. If you receive a Copilot link, it is crucial to pause and verify its legitimacy and origin. When in doubt, it is always safer to navigate directly to Copilot manually rather than clicking on a suspicious link. This simple act of verification can prevent a potential security incident.
Utilizing a reliable password manager is a fundamental security practice. These tools generate and securely store strong, unique passwords for all your online services. In the event of an indirect session compromise or credential theft, unique passwords ensure that a breach of one account does not grant access to your entire digital life. Many advanced password managers also provide warnings if a website appears suspicious or fraudulent, adding another layer of defense against phishing attempts.
Enhancing Account Security and Data Privacy
Implementing two-factor authentication (2FA) adds a vital layer of security to your accounts. Even if attackers somehow gain partial access to your session or credentials, 2FA requires an additional verification step, typically through a mobile app or a physical device. This makes it substantially more difficult for unauthorized individuals to impersonate you within Copilot or other Microsoft services, significantly bolstering your accountâs resistance to compromise.
Data broker sites actively collect and resell extensive personal information, including email addresses, phone numbers, home addresses, and even employment history. Should an AI tool or account session be compromised, this publicly available data can exacerbate the potential damage. Employing a data-removal service can help delete this sensitive information from various broker databases, effectively shrinking your digital footprint and limiting the amount of personal data attackers can piece together about you.
Regularly reviewing and managing connected devices and app permissions is another crucial step. Users should visit their Microsoft account settings to remove any devices they no longer recognize or use, ensuring that only authorized devices have access. Additionally, within Microsoft Edge settings, users can choose to disable âAllow Microsoft to access page contentâ for Copilot if they wish to limit the AIâs data access. It is also important to routinely review apps connected to your Microsoft account and revoke permissions for any applications that are no longer needed or trusted.
Finally, when interacting with AI assistants, it is wise to avoid granting overly broad authority. Vague instructions like âhandle whatever is neededâ can inadvertently make it easier for hidden instructions to influence outcomes. Keeping requests narrow and focused on specific tasks limits the AIâs autonomy. The less freedom an AI has, the more challenging it becomes for malicious prompts to silently steer its actions, thereby safeguarding your data and intentions.
The Reprompt research does not suggest that Copilot is inherently unsafe for use. Instead, it serves as a potent reminder of the significant trust placed in these advanced tools. When an AI assistant possesses the capacity to comprehend, recall, and act on your behalf, even a single misstep or a malicious click can have considerable consequences. Therefore, maintaining up-to-date systems and exercising discernment regarding online interactions remain as crucial in the era of artificial intelligence as they ever were before.