Skip to main content
CVE Vulnerability Database
Vulnerability Database/CVE-2026-64794

CVE-2026-64794: Information Disclosure Vulnerability

CVE-2026-64794 is an information disclosure flaw in user tags, filters, and conditions that exposes authentication data and restricted user fields. This article covers the technical details, impact, and mitigation strategies.

Published:

CVE-2026-64794 Overview

CVE-2026-64794 is an improper access control vulnerability [CWE-284] affecting Regular Labs extensions. User tags, filters, and conditions permitted access to insufficiently restricted user fields. Crafted content could expose authentication-related data, raw user parameters, or restricted contact details.

The flaw allows an attacker to leverage template or content constructs that resolve user field values without enforcing the intended field-level restrictions. Sensitive attributes tied to user accounts become readable through legitimate rendering paths rather than through direct database access.

Critical Impact

Attackers can retrieve authentication-related fields, restricted contact information, and internal user parameters by crafting content that references protected user attributes.

Affected Products

  • Regular Labs extensions implementing user tags, filters, and conditions
  • Refer to the Regular Labs Security Information page for the authoritative list of affected components and versions

Discovery Timeline

  • 2026-07-22 - CVE-2026-64794 published to the National Vulnerability Database (NVD)
  • 2026-07-22 - Last updated in NVD database

Technical Details for CVE-2026-64794

Vulnerability Analysis

The vulnerability resides in how Regular Labs components resolve user field references inside tags, filters, and conditional expressions. When content includes a user field placeholder, the resolver returns the underlying value without validating whether the requesting context is permitted to view that field.

Access control decisions rely on caller context that the rendering path does not enforce. Attributes that should remain server-side, such as password hashes, activation tokens, session identifiers, or private contact details, are treated as ordinary substitution values. The output is then rendered into pages, exports, or email payloads accessible to lower-privilege users.

Because the exposure surfaces through supported syntax rather than an injection payload, exploitation blends into normal content authoring. Any actor able to author content that reaches the rendering pipeline can weaponize the primitive.

Root Cause

The root cause is missing field-level authorization inside the user data resolver used by tags, filters, and conditions. The component enumerates user object properties without cross-checking each property against an allowlist of publicly exposable fields. Sensitive attributes inherit the same read path as display-safe attributes.

Attack Vector

An attacker crafts content, template snippets, or condition expressions referencing restricted user fields. When the content is rendered for a viewer, the resolver returns the sensitive values. Depending on deployment, the vector may require authenticated content-authoring privileges or may be reachable through user-generated content surfaces such as profiles, comments, or article submissions.

No verified public exploit code was available at publication. Technical details are described in the Regular Labs Security Information advisory.

Detection Methods for CVE-2026-64794

Indicators of Compromise

  • Unexpected references to user field placeholders inside articles, modules, custom fields, or template overrides
  • Outbound responses or exports containing password hashes, activation tokens, reset tokens, or session identifiers rendered as page content
  • Content authoring events immediately followed by anomalous read access to user records

Detection Strategies

  • Inspect content stores for tag, filter, or condition syntax that references user object attributes not intended for public rendering
  • Correlate content publication events with subsequent HTTP responses to identify sensitive substrings such as hash prefixes or token formats
  • Baseline the set of user fields legitimately referenced in templates and alert on new field names appearing in rendered output

Monitoring Recommendations

  • Log all content changes that introduce Regular Labs tags or condition expressions and route them to a review queue
  • Monitor web application responses for regex signatures matching bcrypt, argon2, JWT, or reset-token structures
  • Track privilege changes and content-author role assignments to detect staging of the attack primitive

How to Mitigate CVE-2026-64794

Immediate Actions Required

  • Apply the vendor update referenced on the Regular Labs Security Information page as soon as it is available
  • Audit existing content and template overrides for user field references and remove those that surface restricted attributes
  • Rotate credentials, session tokens, and reset tokens if evidence suggests sensitive fields were rendered to untrusted viewers

Patch Information

Regular Labs publishes fixed versions and remediation guidance through its security information channel. Consult the Regular Labs Security Information page for the specific patched releases corresponding to each affected extension.

Workarounds

  • Restrict content authoring privileges to trusted users until the patch is deployed
  • Disable or uninstall Regular Labs extensions that expose user tags, filters, and conditions if they are not required
  • Remove user field placeholders from custom templates and content that renders to lower-privileged audiences
bash
# Configuration example
# Search content and template files for user-field references introduced via Regular Labs syntax
grep -RniE '\{(user|users)[^}]*(password|token|activation|reset|session|params)[^}]*\}' \
  /path/to/site/templates /path/to/site/components /path/to/site/modules

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

Default Legacy - Prefooter | Experience the World’s Most Advanced Cybersecurity Platform

Experience the Most Advanced Cybersecurity Platform

See how the world’s most intelligent, autonomous cybersecurity platform can protect your organization today and into the future.