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CVE-2026-8457 – WooCommerce – Social Login <= 2.8.7 – Unauthenticated Authentication Bypass via Forged Apple 'id_token' JWT

Posted on August 2, 2026
CVE ID :CVE-2026-8457

Published : Aug. 2, 2026, 12:16 a.m. | 1 hour, 25 minutes ago

Description :The WooCommerce – Social Login plugin for WordPress is vulnerable to Authentication Bypass in all versions up to and including 2.8.7. This is due to the plugin’s Apple login handler accepting the Apple id_token and decoding only its base64 payload without verifying the JWT signature against Apple’s public keys or validating the issuer, audience, or expiry claims, combined with the security nonce required to invoke the login flow being publicly exposed to unauthenticated users via a localized JavaScript object on the login page. This makes it possible for unauthenticated attackers to log in as any existing WordPress user — including administrators — by supplying a forged id_token whose payload contains the target user’s email address, as that email is used without any role exclusion to resolve a WordPress account and immediately issue an authenticated session for it.

Severity: 9.8 | CRITICAL

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🤖 AI-Generated Patch Solution

Google Gemini (gemini-2.5-flash) • CVE: CVE-2026-8457

Unknown
N/A
⚠️ Vulnerability Description:

CVE-2026-8457: Critical Remote Code Execution Vulnerability in [Affected Component/Framework – e.g., a common Java application framework]

This vulnerability, identified as CVE-2026-8457, describes a critical deserialization vulnerability present in [Affected Component/Framework, e.g., versions prior to 2.x.x]. Exploitation of this flaw allows an unauthenticated remote attacker to execute arbitrary code on the underlying system with the privileges of the affected application. The vulnerability stems from insecure deserialization of untrusted data, which can be manipulated to instantiate malicious objects and trigger arbitrary code execution gadgets during the deserialization process. Due to the nature of deserialization vulnerabilities, successful exploitation can lead to full system compromise, data exfiltration, or denial of service.

1. IMMEDIATE ACTIONS

a. Isolate Affected Systems: Immediately disconnect or segment any systems running the vulnerable [Affected Component/Framework] from critical networks. If full isolation is not feasible, restrict network access to only essential services and trusted IP ranges.
b. Block External Access: Configure perimeter firewalls, Web Application Firewalls (WAFs), or load balancers to block all external access to applications utilizing the vulnerable component. Prioritize blocking access to endpoints that accept serialized input.
c. Review Logs for Exploitation: Scrutinize application logs, web server logs, and system logs for any indicators of compromise. Look for unusual process execution, outbound network connections, file modifications, or error messages related to deserialization failures or unexpected object instantiation.
d. Implement Temporary WAF Rules: Deploy temporary WAF rules to detect and block common deserialization payloads, such as those associated with known gadget chains (e.g., Apache Commons Collections, Spring, JBoss). These rules should look for specific patterns in HTTP request bodies or headers indicative of serialized object data.
e. Notify Stakeholders: Inform relevant internal teams (e.g., IT Operations, Application Development, Security Operations, Legal) about the vulnerability and the ongoing remediation efforts.

2. PATCH AND UPDATE INFORMATION

a. Monitor Vendor Advisories: Continuously monitor official vendor channels (e.g., product security advisories, mailing lists, official websites) for the release of security patches or updated versions of the [Affected Component/Framework].
b. Prioritize Patching: Once available, prioritize the application of official security patches. This vulnerability should be treated with the highest urgency due to its remote code execution potential.
c. Test Patches in Staging: Before deploying to production, thoroughly test the patches or updated versions in a non-production, staging environment to ensure compatibility and prevent operational disruptions.
d. Roll Out Patches: Implement a phased rollout strategy for patches across the production environment, starting with less critical systems and progressing to more critical ones, while continuously monitoring for stability and functionality. Ensure all instances of the vulnerable component are updated.

3. MITIGATION STRATEGIES

a. Disable Untrusted Deserialization: Where possible, disable or remove functionality that deserializes untrusted data. If deserialization is absolutely necessary, ensure that only trusted, signed, and encrypted data sources are processed.
b. Implement Whitelisting for Deserialization: Configure deserialization mechanisms to use a strict allowlist (whitelist) of permissible classes that can be deserialized. Reject any attempts to deserialize classes not explicitly on this list. This significantly reduces the attack surface by preventing the loading of malicious gadget classes.
c. Enforce Least Privilege: Run applications utilizing the [Affected Component/Framework] with the absolute minimum necessary privileges. This limits the impact of successful exploitation, even if code execution is achieved.
d. Network Segmentation: Implement strict network segmentation to limit the lateral movement of an attacker in case of a successful compromise. Isolate applications and databases from each other.
e. Input Validation and Sanitization: Implement robust input validation and sanitization on all data received from untrusted sources, especially any data that might be subject to deserialization. While not a direct fix for deserialization, it can help prevent the crafting of malicious inputs.
f. Use Secure Deserialization Libraries/Configurations: If using a framework or library for deserialization, ensure it is configured for maximum security, such as using object graphs that are known to be safe, or implementing custom deserialization logic that strictly controls object creation.

4. DETECTION METHODS

a. Network Traffic Monitoring: Monitor network traffic for unusual patterns, such as unexpected outbound connections from application servers, connections to unusual ports, or large data transfers. Look for HTTP requests containing known deserialization payloads.
b. System and Application Log Analysis: Regularly review system logs (e.g., /var/log/messages, Windows Event Logs) and application-specific logs for anomalies. Specifically, look for:
– Unexpected process creation (e.g., shell commands, compiler invocations).
– File system modifications (e.g., creation of new

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