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VulnerabilityPublished Updated

CVE-2025-32711: Microsoft 365 Copilot · Injection

Affects Microsoft 365 CopilotSource CVE Database V5

0

Not known to be exploited · CVSS 9.3 Critical.

Data as of 26 Oct 2026, 10:12 UTC

CVSS 3.1 base score
9.3Critical
How severe the flaw is on the 0–10 CVSS scale.
EPSS
9.2% chance of exploitation in 30 days – higher than 95% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N/E:U/RL:O/RC:C

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 11 Jun 2025

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.

What to do

AI-suggested

  1. Monitor Microsoft security advisories closely and apply official patches or updates for Microsoft 365 Copilot immediately upon release to remediate the vulnerability.
  2. Implement strict input validation and output encoding mechanisms within any custom integrations or extensions interacting with Microsoft 365 Copilot to prevent injection of malicious commands or special characters.
  3. Employ network segmentation and access controls to limit exposure of Microsoft 365 Copilot services to only trusted users and devices.
  4. Use data loss prevention (DLP) tools to monitor and block unauthorized data exfiltration attempts originating from AI assistant interactions.
  5. Conduct regular security assessments and penetration testing focused on AI and automation components to identify injection and other logic-based vulnerabilities.
  6. Educate users and administrators about the risks of AI command injection and encourage reporting of suspicious AI assistant behavior.
  7. Leverage Microsoft Defender and other endpoint detection and response (EDR) solutions to detect anomalous activities related to AI command injection attempts.
  8. Review and harden downstream components that process AI output to ensure they properly sanitize and validate all inputs before execution or display.

Description

Ai command injection in M365 Copilot allows an unauthorized attacker to disclose information over a network.

References

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