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CVE-2026-8457 – Unauthenticated Authentication Bypass – WooCommerce – Social Login (WPWeb) <= 2.8.7

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Summary

CVE-2026-8457 is a critical unauthenticated authentication bypass in the WPWeb "WooCommerce – Social Login" plugin for WordPress, affecting all versions up to and including 2.8.7. An attacker can forge an Apple id_token and obtain an authenticated session as any existing WordPress user, including administrators. The issue is rated CRITICAL with a CVSS v3.1 base score of 9.8.

Technical details

  • Root cause: The plugin’s Apple login handler accepts the Apple id_token and decodes only its base64 payload without verifying the JWT signature against Apple’s public keys, and without validating the issuer, audience, or expiry claims (CWE-289: Authentication Bypass by Alternate Name).
  • Contributing weakness: The security nonce required to invoke the login flow is exposed to unauthenticated users via a localized JavaScript object on the login page.
  • Trigger conditions: An unauthenticated attacker retrieves the exposed nonce and submits a forged id_token whose payload contains a target user’s email address.
  • Attack vector: Network, no authentication and no user interaction required.
  • Impact: The supplied email is used to resolve a WordPress account without any role exclusion, immediately issuing an authenticated session — enabling full account takeover, including administrator accounts, and complete compromise of confidentiality, integrity, and availability.

Affected software

  • WooCommerce – Social Login (WPWeb) — all versions up to and including 2.8.7.

Severity

  • CVSS v3.1 base score: 9.8 (Critical)
  • Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Mitigation and recommended actions

  • Immediate: Update the plugin to a release newer than 2.8.7. Consult the vendor’s changelog and apply the latest available version.
  • If no patch can be applied: Disable or remove the WooCommerce – Social Login plugin until a fixed version is installed. Restrict access to WordPress login and AJAX endpoints at the network or WAF layer, and review user accounts and active sessions for signs of unauthorized administrator access.

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 HTTP response body: /wp-content/plugins/woocommerce-social-login/

References

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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

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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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