Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain
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AccessObtain admin/shop-manager credentials
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DeliveryAuthenticate to WordPress REST API
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ExploitSend crafted Analytics request with malicious date_type
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ExecutionUnsanitized value interpolated into SQL query
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PersistBlind SQLi extracts database contents
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ImpactExfiltrate customer PII or admin password hashes
Vulnerability Assessment
| Weakness |
CWE
OWASP Top 10:2025
A05:2025 - Injection
ASVS 5.0
V1 - Encoding and Sanitization Parameterized queries, prepared statements
MITRE ATT&CK
2 techniques across 2 tactics: Initial Access, Persistence The technique list with ATT&CK links and the kill-chain view is part of the Basic plan and up. |
| Exploitation Conditions | Exploitation requires a valid WooCommerce admin or shop manager account (PR:H per CVSS), as the vulnerable Analytics REST API endpoints are restricted to authenticated high-privilege users. The |
| Impact | The CVSS vector CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:C/C:H/I:N/A:L yields a 7.6 base score. PR:H is the dominant risk-limiting factor - exploitation requires admin or shop manager credentials, substantially narrowing the attacker population to insiders, compromised admin accounts, or situations where privilege escalation has already occurred. The scope change (S:C) and C:H reflect that blind SQLi against a WordPress database can reach tables outside WooCommerce's intended scope, including wp_users hashed passwords and plugin-stored secrets. The A:L component is consistent with heavy blind-query traffic potentially degrading database performance. No KEV listing and no public exploit identified at time of analysis, and the EPSS signal is not provided; however, Patchstack disclosure of WooCommerce flaws historically attracts rapid proof-of-concept development given the platform's scale. The net real-world priority is moderate-to-high for stores with exposed Analytics APIs and where admin credential compromise is a plausible threat path. |
| Exploit ScenarioDerived | An attacker with WooCommerce admin or shop manager credentials sends a crafted REST API request to the Analytics Orders Stats endpoint, supplying a malicious |
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Alert meAnalysisAIv1 – Sep 04, 2026
Blind SQL injection in WooCommerce's Analytics Orders reporting allows high-privileged authenticated users to extract arbitrary database contents by injecting into the date column parameter used in order analytics queries. Affected are all WooCommerce installations running versions before 11.0. The vulnerability stems from the woocommerce_date_type option value and the date_type query argument being interpolated directly into SQL without allowlist validation, enabling exfiltration of customer PII, payment data, and credentials via time-based or boolean blind techniques. No public exploit identified at time of analysis, though Patchstack discovery typically precedes weaponization.
RemediationAI
Upgrade WooCommerce to version 11.0 or later, which includes the sanitize_date_column_name() allowlist fix from PR #67554 (https://github.com/woocommerce/woocommerce/pull/67554). If immediate upgrade is not possible, restrict access to the WooCommerce Analytics REST API endpoints (/wp-json/wc-analytics/) at the web server or WAF layer for all users other than explicitly trusted admin accounts, reducing the attack surface to those who can already modify WordPress options directly. Additionally, auditing the woocommerce_date_type WordPress option for unexpected values can identify prior tampering. No side-effect-free workaround exists that preserves full Analytics functionality without the patch. Patch availability is confirmed from vendor (PR merged upstream), but the exact patched release version is not independently verified beyond the 'before 11.0' NVD range.
Affected VersionsENISA
Affected Packages
Source: OSV (Open Source Vulnerabilities)
Affects your stack
Affects 1 package in euvd
Checking this CVE against your own stacks and servers is part of the Basic plan and up.
Technical ContextAI · show details
WooCommerce (cpe:2.3:a:automattic:woocommerce:*:*:*:*:*:*:*:*) is the dominant WordPress e-commerce plugin. Its Analytics subsystem exposes REST API endpoints for order reporting. Two DataStore classes - src/Admin/API/Reports/Orders/DataStore.php and src/Admin/API/Reports/Orders/Stats/DataStore.php - set $this->date_column_name by reading directly from get_option('woocommerce_date_type') and from the $query_args['date_type'] request parameter, both of which are then interpolated into raw SQL ORDER BY or WHERE date-column expressions without sanitization. CWE-89 (Improper Neutralization of Special Elements used in an SQL Command) is the root cause. The fix introduces a sanitize_date_column_name() allowlist method in the parent DataStore class that restricts accepted values to date_created, date_created_gmt, date_paid, and date_completed, with a fallback default.
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- Exploit and PoC references, threat intelligence from 22 sources
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Severity by source
AV:N/AC:L/PR:H/UI:N/S:C/C:H/I:N/A:L
PR:H because Analytics API requires admin/shop-manager auth; S:C and C:H because blind SQLi reads across the WordPress database; I:N as injection is read-only.
Primary rating from Vendor (Patchstack).
CVSS VectorVendor: Patchstack
DescriptionCVE.org
Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Automattic WooCommerce allows Blind SQL Injection.
This issue affects WooCommerce: from n/a before 11.0.
Executive ViewAI
WooCommerce store operators running versions prior to 11.0 are exposed to unauthorized database access through the Analytics reporting feature, where compromised privileged user accounts could extract comprehensive customer records including personally identifiable information, payment details, and authentication credentials. Successful exploitation would create substantial customer data breach liability, PCI DSS non-compliance exposure, and regulatory fines under GDPR and CCPA.
Apply vendor patch.
Threat Intelligence Overview
How this decision was reached
The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.
What every action level means
SSVC AssessmentENISA
Priority Score
Attack Technique
SQL injection exploits the way applications construct database queries by mixing user input directly into SQL statements.
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NVD
CVE.org
EPSS
Vulnrichment
Exploit-DB