Evidence used
- No CISA KEV confirmation is currently recorded.
- A structured source references public exploit or proof-of-concept material.
- EPSS is 0.48% for the current model date.
BlackTreeCVE IntelligenceFull vulnerability report · 2026
CVE-2026-22850High confidence
Koko Analytics vulnerable to arbitrary SQL execution through unescaped analytics export/import and permissive admin SQL import
ibericode · koko-analytics
Official source article: GitHub GHSA-JGFH-264M-XH3Q ↗. Check the applicable product and release in the original source.
8.4HighCVSS 3.1
Within 7 days
Patch availableHigh technical severity with public exploit material referenced by a structured source; prioritise exposed affected systems while verifying vendor guidance.
R
Open reassessment dashboard →Operational reassessment
Published severity in operational context
Published severityHigh→Operational priority:Critical, raised one band.upgradedsince 20 Jan 2026
Compensating controls
- Validate the affected product branch and deploy the verified fixed release.
- Restrict the affected network interface to trusted sources where business-safe.
- Increase monitoring for the attack path and post-exploitation behaviour described in the report.
Verification
- Confirm that the asset runs ibericode koko-analytics and falls inside the recorded affected range.
- Verify the installed build against the product-specific fixed version after deployment.
- Validate exposure, authentication requirements and compensating controls in the actual environment.
- Reopen this reassessment when CVSS, KEV, EPSS, exploit evidence or remediation changes.
High technical severity with public exploit material referenced by a structured source; prioritise exposed affected systems while verifying vendor guidance.
Patch available01
What, why and how
Koko Analytics is an open-source analytics plugin for WordPress. Versions prior to 2.1.3 are vulnerable to arbitrary SQL execution through unescaped analytics export/import and permissive admin SQL import. Unauthenticated visitors can submit arbitrary path (`pa`) and referrer (`r`) values to the public tracking endpoint in src/Resources/functions/collect.php, which stores those strings verbatim in the analytics tables. The admin export logic in src/Admin/Data_Export.php writes these stored values directly into SQL INSERT statements without escaping. A crafted path such as "),('999','x');DROP TABLE wp_users;-- breaks out of the value list. When an administrator later imports that export file, the import handler in src/Admin/Data_Import.php reads the uploaded SQL with file_get_contents, performs only a superficial header check, splits on semicolons, and executes each statement via $wpdb->query with no validation of table names or statement types. Additionally, any authenticated user with manage_koko_analytics can upload an arbitrary .sql file and have it executed in the same permissive way. Combined, attacker-controlled input flows from the tracking endpoint into exported SQL and through the import execution sink, or directly via malicious uploads, enabling arbitrary SQL execution. In a worst-case scenario, attackers can achieve arbitrary SQL execution on the WordPress database, allowing deletion of core tables (e.g., wp_users), insertion of backdoor administrator accounts, or other destructive/privilege-escalating actions. Version 2.1.3 patches the issue.
What
Koko Analytics is an open-source analytics plugin for WordPress. Versions prior to 2.1.3 are vulnerable to arbitrary SQL execution through unescaped analytics export/import and permissive admin SQL import. Unauthenticated visitors can submit arbitrary path (`pa`) and referrer (`r`) values to the public tracking endpoint in src/Resources/functions/collect.php, which stores those strings verbatim in the analytics tables. The admin export logic in src/Admin/Data_Export.php writes these stored values directly into SQL INSERT statements without escaping. A crafted path such as "),('999','x');DROP TABLE wp_users;-- breaks out of the value list. When an administrator later imports that export file, the import handler in src/Admin/Data_Import.php reads the uploaded SQL with file_get_contents, performs only a superficial header check, splits on semicolons, and executes each statement via $wpdb->query with no validation of table names or statement types. Additionally, any authenticated user with manage_koko_analytics can upload an arbitrary .sql file and have it executed in the same permissive way. Combined, attacker-controlled input flows from the tracking endpoint into exported SQL and through the import execution sink, or directly via malicious uploads, enabling arbitrary SQL execution. In a worst-case scenario, attackers can achieve arbitrary SQL execution on the WordPress database, allowing deletion of core tables (e.g., wp_users), insertion of backdoor administrator accounts, or other destructive/privilege-escalating actions. Version 2.1.3 patches the issue.
Why
Attacker-controlled data is not kept separate from SQL query syntax, allowing the intended database operation to be changed.
How
An attacker operating through a network path may attempt exploitation without authentication after a user interaction. If successful, the issue may cause the confidentiality, integrity or availability impact described by the vendor.
What
Koko Analytics is an open-source analytics plugin for WordPress. Versions prior to 2.1.3 are vulnerable to arbitrary SQL execution through unescaped analytics export/import and permissive admin SQL import. Unauthenticated visitors can submit arbitrary path (`pa`) and referrer (`r`) values to the public tracking endpoint in src/Resources/functions/collect.php, which stores those strings verbatim in the analytics tables. The admin export logic in src/Admin/Data_Export.php writes these stored values directly into SQL INSERT statements without escaping. A crafted path such as "),('999','x');DROP TABLE wp_users;-- breaks out of the value list. When an administrator later imports that export file, the import handler in src/Admin/Data_Import.php reads the uploaded SQL with file_get_contents, performs only a superficial header check, splits on semicolons, and executes each statement via $wpdb->query with no validation of table names or statement types. Additionally, any authenticated user with manage_koko_analytics can upload an arbitrary .sql file and have it executed in the same permissive way. Combined, attacker-controlled input flows from the tracking endpoint into exported SQL and through the import execution sink, or directly via malicious uploads, enabling arbitrary SQL execution. In a worst-case scenario, attackers can achieve arbitrary SQL execution on the WordPress database, allowing deletion of core tables (e.g., wp_users), insertion of backdoor administrator accounts, or other destructive/privilege-escalating actions. Version 2.1.3 patches the issue.
Why
Attacker-controlled data is not kept separate from SQL query syntax, allowing the intended database operation to be changed.
How
An attacker operating through a network path may attempt exploitation without authentication after a user interaction. If successful, the issue may cause the confidentiality, integrity or availability impact described by the vendor.
02
Exploit reality and attack path
CVSS severity, EPSS forecast probability, public exploit material and CISA-confirmed exploitation are separate signals.
Observed exploitation No confirmed evidence
?
Confirmed exploitation and public exploit material are separate signals. Attacks can occur without public proof-of-concept or exploit code.No CISA KEV match was present at the last successful refresh. This means no confirmation from that source, not proof of no exploitation.
Public PoC / exploit material Reference recorded
?
Confirmed exploitation and public exploit material are separate signals. Attacks can occur without public proof-of-concept or exploit code.A structured CVE source labels at least one public reference as exploit material. BlackTree has not independently validated that it is safe, reliable or weaponised.
- Likely attack path
- a network path → Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') → cause the confidentiality, integrity or availability impact described by the vendor
- Attack surface
- Network
- Privileges required
- None: unauthenticated exploitation is possible
- User interaction
- Required interaction required
- Attack complexity
- High: exploitation depends on specific conditions
- Security boundary
- Changed: exploitation can affect a different security authority
- Weakness
?
CWE means Common Weakness Enumeration: a standard category for the underlying weakness. - CWE-89 ↗
CWE-89: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection'). The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data.
- CVSS vector
?
CVSS means Common Vulnerability Scoring System. The vector records the metric values used to calculate technical severity. CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:C/C:H/I:H/A:HCommon Vulnerability Scoring System 3.1: the compact vector below is decoded into plain language.
AVNetworkAttack vector: The vulnerable component can be reached over a network.ACHighAttack complexity: Successful exploitation depends on specific conditions outside the attacker's direct control.PRNonePrivileges required: The attacker does not need an account or existing privileges.UIRequiredUser interaction: Another user must perform an action for exploitation to succeed.SChangedScope: The attack can affect a component governed by a different security authority.CHighConfidentiality impact: A successful attack can cause a major loss.IHighIntegrity impact: A successful attack can cause a major loss.AHighAvailability impact: A successful attack can cause a major loss.- Post-exploitation / living off the land
- No specific living-off-the-land technique is confirmed in the structured sources. Monitor normal administration tools for activity inconsistent with the affected service's baseline.
03
Patch and workaround
Operational remediation based on structured source evidence.
- Status
?
Patch availability is based on structured fixed-version fields and authoritative update references. If no fix is verified, check the vendor advisory before making a change. - Patch available
- Affected
- koko-analytics: < 2.1.3
- Action
- Review the linked authoritative reference and apply the recorded fixed release appropriate to the affected product branch.
- Workaround
- A mitigation or workaround reference is available from the source linked below; validate it against the affected product and version.
04
Evidence and provenance
Published 19 Jan 2026 · Last source change 20 Jan 2026, 21:35 UTC · CWE-89 · Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
CVE recordCVE.org · 5.2
CVSS sourceCNA
EPSS source FIRST · tracked since 2026-08-14
?
The date BlackTree first stored a score for this CVE from the daily FIRST EPSS feed.European sourceENISA EUVD · EUVD-2026-3319
Product sourceCNA
Remediation sourceCVE/CNA references
CWE sourceCNA
NVD statusNVD enriched
Core structured fields are present and their contributing authorities are shown above.
Material change intelligence
View recent updates ↗What changed after publication
No material field changes have been recorded since change tracking began. Routine source refreshes and cosmetic edits are intentionally excluded.
CVE published
Fixed release or patch reference recorded
Technical terms and abbreviations used in this report
- CVE
- Common Vulnerabilities and Exposures: the public identifier for one disclosed vulnerability.
- CVSS
- Common Vulnerability Scoring System: a technical severity framework; it is not patching priority by itself.
- EPSS
- Exploit Prediction Scoring System: FIRST's estimate of the probability that exploitation activity will be observed in the next 30 days; it is a forecast, not confirmation.
- CWE
- Common Weakness Enumeration: the standard category describing the underlying software or hardware weakness.
- CNA
- CVE Numbering Authority: an organisation authorised to assign and publish CVE records.
- CISA ADP
- Cybersecurity and Infrastructure Security Agency Authorized Data Publisher: structured enrichment added to a CVE record.
- NVD
- National Vulnerability Database: NIST's enrichment service for CVE records.
- CERT / CSIRT
- A computer security incident response team that publishes warnings or coordinates incident response.
- PoC
- Proof of concept: public material that demonstrates or helps reproduce exploitation.
- CSAF
- Common Security Advisory Framework: a machine-readable format for security advisories.
- LoTL
- Living off the land: abuse of legitimate tools or system functions during an attack.