CVE-2026-60137 (GCVE-0-2026-60137)
Vulnerability from cvelistv5 – Published: 2026-07-17 19:14 – Updated: 2026-07-29 19:26Title
WordPress < 7.0.2 - Facilitated SQL Injection via author__not_in in WP_Query
Summary
WordPress 6.8.x before 6.8.6, 6.9.x before 6.9.5, and 7.0.x before 7.0.2 does not properly sanitise the author__not_in parameter of WP_Query, which could allow SQL Injection when a plugin or theme passes untrusted input to the parameter.
Severity
5.9 (Medium)
9.1 (Critical)
SSVC
Exploitation: active
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-22 03:55 UTC
CWE
- CWE-89 SQL Injection
- CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/WordPress/wordpress-develop/se… | vdb-entrytechnical-description |
| https://wordpress.org/news/2026/07/wordpress-7-0-… | release-notesvendor-advisory |
| https://www.cisa.gov/known-exploited-vulnerabilit… | government-resource |
Impacted products
CISA
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: b3cb9cb7-62cf-4de4-b912-478080bf470a
Exploited: Yes
Timestamps
First Seen: 2026-07-21
Asserted: 2026-07-21
Scope
Notes: WordPress Core SQL Injection Vulnerability | Affected: WordPress / Core | Description: WordPress Core contains a SQL injection vulnerability when a plugin or theme passes untrusted input to the parameter. This vulnerability can be chained with CVE-2026-63030 to allow an unauthenticated attacker to gain remote code execution on default WordPress installations. | Required action: Apply mitigations in accordance with vendor instructions, ensuring compliance with CISA’s BOD 26-04 Prioritizing Security Updates Based on Risk (see URL in Notes) guidance and CISA’s “Forensics Triage Requirements” (see URL in Notes). Follow applicable BOD 26-04 guidance for cloud services or discontinue use of the product if mitigations are unavailable. Stakeholders are responsible for evaluating each asset's internet exposure and ensuring adherence to BOD 26-04 patching guidelines. | Due date: 2026-08-04 | Known ransomware campaign use (KEV): Unknown | Notes (KEV): https://wordpress.org/news/2026/07/wordpress-7-0-2-release/ ; BOD 26-04: https://www.cisa.gov/news-events/directives/bod-26-04-prioritizing-security-updates-based-risk ; Forensics Triage Requirements: https://www.cisa.gov/news-events/directives/bod-26-04-implementation-guidance-prioritizing-security-updates-based-risk ; https://nvd.nist.gov/vuln/detail/CVE-2026-60137
Evidence
Type: Vendor Report
Signal: Successful Exploitation
Confidence: 80%
Source: cisa-kev
Details
| Cwes | CWE-89 |
|---|---|
| Feed | CISA Known Exploited Vulnerabilities Catalog |
| Product | Core |
| Due Date | 2026-08-04 |
| Date Added | 2026-07-21 |
| Vendorproject | WordPress |
| Vulnerabilityname | WordPress Core SQL Injection Vulnerability |
| Knownransomwarecampaignuse | Unknown |
References
Created: 2026-07-21 15:00 UTC
| Updated: 2026-07-21 15:00 UTC
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 8d6ec1a6-0a0b-4316-8704-6d652396db19
Exploited: Yes
Timestamps
First Seen: 2026-07-18
Asserted: 2026-07-18
Scope
Notes: WordPress < 7.0.2 - Facilitated SQL Injection via author__not_in in WP_Query | Affected: WordPress / WordPress | CVSS: 5.9 (MEDIUM) | EPSS: 0.04026 | Used in malware: unknown | Not yet in CISA KEV: True
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: kevintel
Details
| Feed | KEVIntel (kevintel.com) |
|---|---|
| Title | WordPress < 7.0.2 - Facilitated SQL Injection via author__not_in in WP_Query |
| Vendor | WordPress |
| Product | WordPress |
| Added Date | 2026-07-18T15:32:00.000Z |
| Cvss Score | 5.9 |
| Epss Score | 0.04026 |
| Cvss Severity | MEDIUM |
| Epss Percentile | 0.89451 |
| Used In Malware | unknown |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | True |
References
Created: 2026-07-19 16:00 UTC
| Updated: 2026-07-19 16:00 UTC
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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