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CVE-2026-82183 – Authentication Bypass / Account Takeover – miniOrange OAuth Single Sign On WordPres

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Summary

CVE-2026-82183 is an improper authentication vulnerability (CWE-287) in the "OAuth Single Sign On – SSO (OAuth Client)" WordPress plugin (published under the slug miniorange-login-with-eve-online-google-facebook), developed by miniOrange. The plugin fails to verify the identity assertion returned by its Steam single sign-on flow, allowing an unauthenticated attacker to log in as an arbitrary non-administrator user or create new accounts. The flaw carries a CVSS v3.1 base score of 8.1 (High).

Technical details

  • Root cause: the plugin’s Steam SSO authentication flow does not validate the identity assertion returned during the login callback, so the returned identity is trusted without proof of ownership.
  • Trigger conditions: the site must have the Steam social login option of the plugin enabled; no valid credentials, prior session, or user interaction beyond the crafted login request are required.
  • Attack vector: network-based, unauthenticated; requires high attack complexity (crafting a forged Steam identity assertion), no privileges, and no user interaction.
  • Impact: attackers can impersonate arbitrary non-administrator accounts and register new accounts, achieving high confidentiality, integrity, and availability impact on the affected accounts/site functionality.

Affected software

  • OAuth Single Sign On – SSO (OAuth Client) (miniOrange), also distributed as "miniOrange Login with Eve Online, Google, Facebook", plugin slug miniorange-login-with-eve-online-google-facebook
  • Versions 6.25.0 through 7.0.0

Severity

  • CVSS v3.1 Base Score: 8.1 (High)
  • Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H

Mitigation and recommended actions

  • Immediate: upgrade the plugin to version 7.0.1 or later, where the Steam SSO identity assertion is validated.
  • If patching is not immediately possible: disable the Steam single sign-on login option within the plugin’s settings until the update can be applied, and review recent user account creations/logins for signs of abuse.

How IONIX identifies potentially affected assets

IONIX matches the following signal against data already collected when it crawled the asset; identifying the technology sends no request beyond that crawl.

  • Raw HTTP response body: /wp-content/plugins/miniorange-login-openid/

References

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How IONIX’s External Exposure Management Platform Detects and Validates
Zero-Days to Shrink MTTR

1

Map your entire attack surface (continously)

IONIX uses multi-factor discovery methods, including DNS analysis, certificate mapping, metadata inspection, and more, to automatically map every internet-facing asset across your environment. This includes cloud instances, third-party platforms, shadow IT, and even forgotten infrastructure that traditional tools miss.

2

Monitor for new CVEs

Dozens of threat intel feeds using agentic technology are continuously analyzed to detect the appearance of proof-of-concept code, exploit kits, and indicators of active targeting. IONIX goes further by applying AI to proactively evaluate whether emerging vulnerabilities are likely to be exploited, even before PoCs go public.

3

Identify Potential External Exposures

Not all CVEs matter. IONIX filters vulnerabilities by asking attacker-centric questions: Can it be reached from the internet? Does it require authentication? Is it being exploited in the wild? This dramatically reduces noise and focuses teams on threats that can actually be weaponized.

4

Create Safe, Scalable Exploit Validations

IONIX transforms real-world PoCs into safe, non-intrusive test payloads that can be run in production environments without disruption. These simulations are precisely targeted to the systems that are vulnerable, ensuring rapid validation without unnecessary load.

5

Execute Exploit Validations

By combining context about software stack, versioning, exposure status, and reachability, IONIX ensures that only the right payloads are executed against the right assets, maximizing efficiency and minimizing risk.

6

Drive Fast and Actionable Remediation

Results are routed through integrations with ticketing, SOAR, and SIEM tools. Issues are written in plain language, bundled into remediation clusters, and prioritized based on asset criticality, exploitability, and blast radius. This shortens mean time to remediation (MTTR) and empowers teams to act with confidence.

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  • Mapping of all Assets with this Technology
  • Identification of potentially exposed assets to this CVE
  • Confirmation of verified exploitable assets
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