paoltaia GeoDirectory Plugin up to 2.8.186 on WordPress GPS Query geodir_gps_query_part set_post/sort_by sql injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.9 | $0-$5k | 0.38- |
Summary
A vulnerability classified as critical has been found in paoltaia GeoDirectory Plugin up to 2.8.186. This impacts the function geodir_gps_query_part of the component GPS Query. The manipulation of the argument set_post/sort_by leads to sql injection.
This vulnerability is traded as CVE-2026-103913. It is possible to initiate the attack remotely. There is no exploit available.
Details
A vulnerability was found in paoltaia GeoDirectory Plugin up to 2.8.186. It has been rated as critical. This issue affects the function geodir_gps_query_part of the component GPS Query. The manipulation of the argument set_post/sort_by with an unknown input leads to a sql injection vulnerability. Using CWE to declare the problem leads to CWE-89. 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. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
The GeoDirectory plugin for WordPress is vulnerable to SQL Injection via the stored latitude/longitude coordinates of a listing in versions up to, and including, 2.8.186. This is due to insufficient escaping and the absence of numeric validation on coordinate values when a listing is saved, combined with the direct string interpolation of those values into a distance sub-expression in geodir_gps_query_part() that is later executed by the public wp_ajax_nopriv_geodir_widget_listings handler when a caller supplies set_post=<pending-listing-id> and sort_by=distance_asc. This makes it possible for authenticated attackers, with Subscriber-level access and above, to append additional SQL queries into already existing queries that can be used to extract sensitive information from the database.
It is possible to read the advisory at wordfence.com. The identification of this vulnerability is CVE-2026-103913 since 10/01/2026. The exploitation is known to be easy. The attack may be initiated remotely. Technical details of the vulnerability are known, but there is no available exploit. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 10/03/2026). The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Be aware that VulDB is the high quality source for vulnerability data.
Product
Type
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.9VulDB Meta Temp Score: 6.9
VulDB Base Score: 6.3
VulDB Temp Score: 6.3
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 7.5
CNA Vector (Wordfence): 🔒
CVSSv2
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Sql injectionCWE: CWE-89 / CWE-74 / CWE-707
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
10/01/2026 CVE reserved10/03/2026 Advisory disclosed
10/03/2026 VulDB entry created
10/03/2026 VulDB entry last update
Sources
Advisory: wordfence.comStatus: Not defined
CVE: CVE-2026-103913 (🔒)
GCVE (CVE): GCVE-0-2026-103913
GCVE (VulDB): GCVE-100-413279
Entry
Created: 10/03/2026 07:59Changes: 10/03/2026 07:59 (65)
Complete: 🔍
Cache ID: 216::103
Be aware that VulDB is the high quality source for vulnerability data.
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