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CVE-2026-61979 – Unauthenticated Privilege Escalation – SAML SP Single Sign On WordPress Plugin (min

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Summary

CVE-2026-61979 is an unauthenticated privilege escalation vulnerability in the SAML SP Single Sign On WordPress plugin by miniOrange (miniorange-saml-20-single-sign-on). The flaw allows an attacker with no valid credentials to escalate privileges on affected WordPress sites, and carries a High severity rating. It affects all plugin versions up to and including 5.4.3, with a fix available in 5.4.4.

Technical details

  • Root cause: the plugin incorrectly assigns privileges (CWE-266: Incorrect Privilege Assignment) during SAML-based authentication/login handling, allowing privilege escalation without proper authorization checks.
  • Trigger conditions: no valid credentials or prior authentication are required (PR:N, UI:N); the attack complexity is rated High (AC:H), indicating some non-trivial conditions must be met to exploit it reliably.
  • Attack vector: Network — exploitable remotely over HTTP(S) against the plugin’s SAML Service Provider login flow.
  • Impact: full compromise of confidentiality, integrity, and availability (C:H/I:H/A:H), consistent with an attacker obtaining elevated (potentially administrator-level) access to the WordPress site.

Affected software

  • SAML SP Single Sign On (SAML Single Sign On – SSO Login) WordPress plugin by miniOrange, versions up to and including 5.4.3.

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: Update the SAML SP Single Sign On plugin to version 5.4.4 or later, where the privilege assignment issue is fixed.
  • If immediate patching is not possible: restrict or disable public access to the SAML SSO login endpoint until the update can be applied, and monitor WordPress user accounts for unexpected privilege changes.

How IONIX identifies potentially affected assets

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

  • Raw response body: /wp-content/plugins/miniorange-saml-20-single-sign-on/

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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  • Identification of potentially exposed assets to this CVE
  • Confirmation of verified exploitable assets
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