CVE-2026-56235

June 20, 2026, 4:17 p.m.

6.9
Medium

Description

Cap-go capgo before 12.128.2 contains an authorization bypass in several Supabase PostgREST RPC functions (get_app_metrics, get_global_metrics, get_total_metrics) that are granted to the anon role without enforcing org membership or permission checks. An unauthenticated attacker using only the public Supabase API key (sb_publishable_*) can query arbitrary org_id values to disclose cross-tenant usage telemetry (MAU, bandwidth, installs, gets), enumerate app IDs for a target org, and determine org existence via an oracle (valid org returns metrics, invalid returns []).

Product(s) Impacted

Vendor Product Versions
Cap-go
  • Capgo
  • <12.128.2
Supabase
  • Postgrest
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-200
Exposure of Sensitive Information to an Unauthorized Actor
The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a cap-go capgo <12.128.2 / / / / / / /
a supabase postgrest / / / / / / / /

CVSS Score

6.9 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: NONE
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: LOW
  • Integrity Impact: NONE
  • Availability Impact: NONE
  • Exploit Maturity: NOT_DEFINED
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

    View Vector String

Timeline

Published: June 20, 2026, 4:17 p.m.
Last Modified: June 20, 2026, 4:17 p.m.

Status : Received

CVE has been recently published to the CVE List and has been received by the NVD.

More info

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.