CVE-2026-59262 affine CVE debrief

Who should care

Users of AFFiNE, especially those with access to sensitive documents, should be aware of this vulnerability and take steps to protect their data. This includes reviewing access controls, monitoring for suspicious activity, and applying patches or updates provided by the vendor.

Technical summary

The histories GraphQL field in AFFiNE does not properly validate Doc.Read permissions, enabling authenticated workspace members to access edit histories of documents they do not have permission to view. This can be exploited by providing arbitrary document GUIDs to retrieve full edit histories, including sensitive information such as user names, emails, and timestamps of private pages. Affected users should review access controls and apply patches or updates provided by the vendor to mitigate this vulnerability, ensuring proper permissions are in place and monitoring for suspicious activity.

Defensive priority

High priority should be given to patching or mitigating this vulnerability, as it allows unauthorized access to sensitive information.

Recommended defensive actions

• Apply patches or updates provided by the vendor to fix the vulnerability.
• Restrict access to sensitive documents and ensure proper permissions are in place.
• Monitor for suspicious activity and implement additional security measures as needed.
• Review compensating controls for exposed systems while remediation is scheduled and verified.
• Check relevant monitoring, detection, and logs for exposed assets that need extra review.
• Track exceptions, retest remediated assets, and close the item only after evidence is documented.
• Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up.

Evidence notes

The CVE record was published on 2026-07-08T16:16:31.430Z and was last modified on 2026-07-10T18:46:32.250Z. The NVD entry is currently Deferred. Evidence is limited to public CVE and NVD information. Defenders should verify affected scope and vendor guidance with official sources.

Sources and references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.