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Motors Car Dealership EUVDEUVD-2026-89669

| CVE-2026-6806 HIGH
SQL Injection (CWE-89)
2026-09-30 Wordfence GHSA-hc2h-52p6-4q9h
7.5
CVSS 3.1 · Vendor: Wordfence
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Attack ChainAIDerived

Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain

  1. Access
    Identify site running vulnerable Motors plugin ≤1.4.109
  2. Delivery
    Send request with SQL payload in stm_lat/stm_lng
  3. Exploit
    Trigger time-based blind injection in unprepared query
  4. Execution
    Infer data via response-time oracle
  5. Impact
    Extract user credentials and sensitive database records

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

No special conditions beyond having the vulnerable plugin installed - remote unauthenticated exploitation against default configurations of the Motors - Car Dealership & Classified Listings Plugin for WordPress (all versions up to and including 1.4.109). Exploitation targets the 'stm_lat'/'stm_lng' parameters (latitude/longitude, tied to the plugin's location-based listing/search functionality), so the endpoint that processes these geo parameters must be reachable. Limiting factors: because this is time-based BLIND injection, data extraction is slow and noisy (one inference per timed request), and sites patched to 1.4.110 or later are not affected; no authentication, user interaction, or non-default setting is required.

Impact

This is a genuine, high-priority issue rather than an inflated-CVSS finding. The CVSS 3.1 vector (AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N = 7.5) describes a network-reachable, low-complexity, unauthenticated attack with no user interaction and high confidentiality impact, which for a blind SQL injection is fully consistent with the described ability to extract sensitive database contents (WordPress user records, password hashes, session/auth data). Integrity and availability are correctly scored N because time-based blind extraction reads data rather than modifying it. No EPSS score, no CISA KEV listing, and no public POC were provided, so exploitation status is 'no public exploit identified at time of analysis' - the risk is driven by the ease of the vector and the popularity of the plugin, not by observed in-the-wild activity. No SSVC decision data was supplied. The signals are internally consistent (no conflict between the network vector and the description, both indicate remote unauthenticated access), so the main open question is real-world exploitation likelihood, which for unauthenticated WordPress-plugin SQLi historically rises quickly once Wordfence details circulate.

Exploit ScenarioDerived

An unauthenticated attacker sends crafted requests to the vulnerable endpoint, placing a time-based blind SQL payload in the 'stm_lat' or 'stm_lng' parameter, and infers database contents byte-by-byte from response-time differences. No public exploit code was identified at time of analysis, but the vector requires no authentication or user interaction, making automated mass scanning realistic once details are public.

This Week Schedule remediation this week. Why: HIGH severity (CVSS 7.0-8.9).
No patch listed yet 0.3% exploitation probability (EPSS)

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AnalysisAIv1 – Sep 30, 2026

Unauthenticated time-based blind SQL injection in the Motors - Car Dealership & Classified Listings plugin for WordPress (all versions up to and including 1.4.109) lets remote attackers inject SQL through the 'stm_lat' and 'stm_lng' parameters and infer sensitive database contents one timed request at a time. Because the CVSS vector is AV:N/AC:L/PR:N/UI:N, no account, privileges, or user interaction are needed - only that the plugin is installed and the geo-location endpoint that consumes these latitude/longitude parameters is reachable, which is the case in default configurations. No public exploit code has been identified at time of analysis and the issue is not confirmed actively exploited (CISA KEV); exploitation is viable but inherently slow and noisy, since each extracted bit requires a distinct delayed response, so the practical risk is slow, stealthy exfiltration of database contents (hashes, user data, listing records) rather than rapid mass compromise.

RemediationAI

Vendor-released patch: 1.4.110 - upgrade the Motors - Car Dealership & Classified Listings plugin to version 1.4.110 or later, which the vendor published via the Trac changeset at https://plugins.trac.wordpress.org/changeset/3552483/motors-car-dealership-classified-listings/tags/1.4.110 and which is also documented in the Wordfence advisory at https://www.wordfence.com/threat-intel/vulnerabilities/id/88b5842d-7b8b-4ea7-b2c3-6ac6fac6d2a6?source=cve; since the plugin is distributed through WordPress.org, the update can be applied from the site's Plugins screen, and no database migration or configuration change is required. If immediate patching is not possible, apply compensating controls with awareness of their trade-offs: temporarily deactivate the plugin (removes the exposure entirely but takes down dealership listings/search and any dependent theme templates), or disable/withdraw the location-based search and map/geo-filter features so that requests populating 'stm_lat'/'stm_lng' cannot reach the vulnerable query (preserves core listings but degrades the geo-search user experience). A WAF or reverse-proxy rule that rejects requests whose stm_lat/stm_lng values contain non-numeric characters - quotes, parentheses, comment markers, or SQL keywords such as SLEEP/BENCHMARK - will blunt most time-based payloads, but is signature-dependent, can be evaded with encoding or alternate sleep functions, and may break legitimate decimal/negative coordinate input if written too strictly. Because exploitation is unauthenticated and requires only one HTTP request per inferred value, treat any site that ran 1.4.109 or earlier in an exposed state as potentially probed and review database and access logs for unusually slow or repeated requests to the geo-search endpoint, then rotate database credentials and audit stored data if anomalous timing is observed; note that 4.110+ installations need none of these mitigations.

Affected VersionsENISA

Motors – Car Dealership & Classified Listings Plugin 0 ≤1.4.109

Affected Packages

euvd motors_car_dealership_classified_listings_plugin no fix

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

The vulnerability is a classic CWE-89 SQL injection in a WordPress plugin, rooted in insufficient escaping of user-supplied input and the absence of adequate query preparation. The 'stm_lat' and 'stm_lng' parameters carry latitude and longitude values used by the plugin's location-based inventory and search functionality; the plugin concatenates these values directly into an existing SQL statement instead of using $wpdb->prepare() with placeholders or strict numeric casting (e.g., floatval()). Rather than returning query results directly, the injection is time-based blind: the attacker appends a conditional SQL predicate that triggers a database sleep when a guessed condition is true, letting them reconstruct schema and data from response latency differences. The CPE string cpe:2.3:a:stylemix:motors_-_car_dealership_&_classified_listings_plugin:*:*:*:*:*:*:*:* confirms the affected component is the Stylemix-published plugin and that the CPE is version-wildcarded, consistent with all releases through 1.4.109 being vulnerable; the vendor's Trac changeset (3552483, tag 1.4.110) indicates the fix was applied in the plugin's query handling and released under the 1.4.110 tag.

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Severity by source

Vendor (Wordfence) PRIMARY 7.5 HIGH
AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
vuln.today AI 7.5 HIGH

Unauthenticated network SQL injection with no user interaction (AV:N/AC:L/PR:N/UI:N); blind data extraction yields high confidentiality only, with no write or availability impact (C:H/I:N/A:N).

3.1 AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
4.0 AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N

Primary rating from Vendor (Wordfence).

CVSS VectorVendor: Wordfence

Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
None
Availability
None

DescriptionCVE.org

The Motors - Car Dealership & Classified Listings Plugin plugin for WordPress is vulnerable to time-based blind SQL Injection via the 'stm_lat/stm_lng' parameter in all versions up to, and including, 1.4.109 due to insufficient escaping on the user supplied parameter and lack of sufficient preparation on the existing SQL query. This makes it possible for unauthenticated attackers to append additional SQL queries into already existing queries that can be used to extract sensitive information from the database.

Executive ViewAI

Why It Matters

The Motors - Car Dealership & Classified Listings plugin for WordPress, versions up to and including 1.4.109, exposes organizations to high-impact data theft through an unauthenticated SQL injection vulnerability. Any site with this plugin installed is affected because no account or user interaction is needed; attackers could slowly extract database contents such as user hashes, customer data, and listing records, creating breach notification, regulatory, and reputational risk. No public exploit identified at time of analysis, and no vendor-released patch identified at time of analysis, so leadership should prioritize interim mitigation and visibility until a fix is available.

Business Impact: High
Compensating Controls

No vendor-released patch identified at time of analysis. Interim mitigations include deactivating or removing the Motors - Car Dealership & Classified Listings plugin if not required, restricting access to the geo-location endpoint that consumes stm_lat and stm_lng, deploying WAF or virtual patching rules to block SQL injection payloads in those parameters, applying least-privilege database permissions, and monitoring web and database logs for time-based blind SQL injection patterns.

Threat Intelligence Overview

EPSS Score
0.3%
Top 82% exploitable
Prevalence
Medium
popular commercial StyleMix WordPress plugin/theme, but car-dealership niche
Data Quality
3 sources
Confidence: Low

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.

SignalValue
Severity HIGH
CISA KEV No
Public POC No
EPSS 0.3%
Patch available No
Active threat No
Deciding rule
HIGH severity (CVSS 7.0-8.9)
What every action level means
Emergency Immediate action required. Criteria: CRITICAL + in CISA KEV (actively exploited) without patch, OR CRITICAL + EPSS > 30% without patch, OR CRITICAL + active threat signals without patch.
Act Now Prioritize within 24-48h. Criteria: in KEV with patch available, OR CRITICAL + public POC, OR HIGH + EPSS > 10%, OR CRITICAL + active threat, OR any CRITICAL severity.
This Week Schedule remediation this week. Criteria: HIGH severity (CVSS 7.0-8.9). Patch within normal change window.
This Month Plan within 30 days. Criteria: MEDIUM severity (CVSS 4.0-6.9), lower exploitation probability. Include in regular patch cycle.
Monitor Track and reassess. Criteria: LOW severity (CVSS 0.1-3.9), minimal exploitation risk. No immediate action needed.

SSVC AssessmentENISA

SSVC Decision
Scheduled
Exploitation
None
System Exposure· derived
Open
Automatable
Yes
Human Impact
High
Technical Impact
Partial

Priority Score

38
Low Medium High Critical
KEV: 0
EPSS: 0
CVSS: +38
PoC: 0
Weaponized: 0
Threat intel: 0
Gov advisory: 0

Attack Technique

SQL injection exploits the way applications construct database queries by mixing user input directly into SQL statements.

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