# CVE-2026-64964: ATutor predictable email confirmation tokens

Source: https://junglewise.ai/threats/cve-2026-64964-atutor-predictable-email-confirmation-tokens  
Publisher: Junglewise Threat Intelligence, https://junglewise.ai/threats  
Published: 2026-08-20. Updated: 2026-09-25  
License: CC BY 4.0 with a link back

CVE-2026-64964 · Severity: info · Published 2026-08-20

ATutor is an open-source learning management system used by educational institutions to develop and manage online courses. The account confirmation functionality generates predictable email tokens that attackers can guess, allowing them to activate user accounts without access to the victim's email inbox. This enables unauthorized account access and potential course material tampering or data theft.

Technologies: [ATutor](https://junglewise.ai/threats/technologies/atutor). Vendors: [ATutor](https://junglewise.ai/threats/vendors/atutor).

## Quick answers

**Is CVE-2026-64964 exploited in the wild?** No. Junglewise Threat Intelligence has no report of CVE-2026-64964 being exploited in the wild.

**How severe is CVE-2026-64964?** Informational severity, published 20 August 2026.

**Which products and versions are affected?** ATutor 2.2.4 (confirmed); other versions likely vulnerable.

**Is there a fix for CVE-2026-64964?** No fixed version is recorded yet. Check the vendor's advisory in the references below. If you run it, Junglewise drafts a mitigation that fits your setup and applies it once you approve, with senior security engineers behind it.

**How is CVE-2026-64964 attacked?** It is attacked over the network.

**Am I affected by CVE-2026-64964?** Check whether you run ATutor at an affected version. Junglewise does that check for you around the clock: connect your code, cloud and domains, and it matches new vulnerabilities like this one against what you actually run and tells you when one reaches you.

## Technical details

ATutor generates account confirmation tokens using insufficiently random values derived from predictable user registration data (CWE-340: Generation of Predictable Numbers or Identifiers). An attacker who can determine or infer user identifiers and registration timestamps can compute valid activation tokens without network authentication. The vulnerability affects the account confirmation flow, which is unauthenticated and reachable by any user attempting registration. Successful exploitation results in account activation for any target user account. The product is no longer actively maintained and patches are not available; only version 2.2.4 has been confirmed vulnerable, though other versions likely contain the same flaw.

## Affected products

- ATutor ATutor 2.2.4 (confirmed); other versions likely vulnerable

## Timeline

- 2026-08-20: disclosed

## References

- [https://atutor.github.io/](https://atutor.github.io/)
- [https://cert.pl/en/posts/2026/08/CVE-2026-64960](https://cert.pl/en/posts/2026/08/CVE-2026-64960)

## Related threats

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- [ATutor reflected XSS in restore functionality](https://junglewise.ai/threats/cve-2026-64971-atutor-reflected-xss-in-restore-functionality)
- [ATutor stored cross-site scripting in user profile](https://junglewise.ai/threats/cve-2026-64970-atutor-stored-cross-site-scripting-in-user-profile)
- [ATutor IDOR in profile picture endpoints](https://junglewise.ai/threats/cve-2026-64969-atutor-idor-in-profile-picture-endpoints)
- [ATutor server-side request forgery in import functionality](https://junglewise.ai/threats/cve-2026-64968-atutor-server-side-request-forgery-in-import-functionality)