External Login Plugin up to 1.11.2 on WordPress log sql injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.3 | $0-$5k | 0.00 |
Summary
A vulnerability marked as critical has been reported in External Login Plugin up to 1.11.2 on WordPress. This issue affects some unknown processing. Performing a manipulation of the argument log results in sql injection. This vulnerability was named CVE-2025-11177. The attack may be initiated remotely. There is no available exploit.
Details
A vulnerability classified as critical has been found in External Login Plugin up to 1.11.2 on WordPress. This affects an unknown code. The manipulation of the argument log with an unknown input leads to a sql injection vulnerability. CWE is classifying the issue as 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. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
The External Login plugin for WordPress is vulnerable to SQL Injection via the 'log' parameter in all versions up to, and including, 1.11.2 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 when a PostgreSQL or MSSQL database is configured as the external authentication database.
It is possible to read the advisory at wordfence.com. This vulnerability is uniquely identified as CVE-2025-11177. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. 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 10/17/2025). 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.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.4VulDB Meta Temp Score: 7.3
VulDB Base Score: 7.3
VulDB Temp Score: 7.1
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 7.5
CNA Vector: 🔒
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
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
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
10/15/2025 Advisory disclosed10/15/2025 VulDB entry created
10/17/2025 VulDB entry last update
Sources
Advisory: wordfence.comStatus: Not defined
CVE: CVE-2025-11177 (🔒)
GCVE (CVE): GCVE-0-2025-11177
GCVE (VulDB): GCVE-100-328563
Entry
Created: 10/15/2025 03:45Updated: 10/17/2025 01:07
Changes: 10/15/2025 03:45 (51), 10/17/2025 01:07 (12)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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