ahmadmj Majestic Support Plugin up to 1.2.2 on WordPress columns sql injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.4 | $0-$5k | 1.17- |
Summary
A vulnerability described as critical has been identified in ahmadmj Majestic Support Plugin up to 1.2.2. Affected is an unknown function. The manipulation of the argument columns results in sql injection. This vulnerability is reported as CVE-2026-115820. The attack can be launched remotely. No exploit exists.
Details
A vulnerability was found in ahmadmj Majestic Support Plugin up to 1.2.2. It has been classified as critical. Affected is an unknown code block. The manipulation of the argument columns 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. CVE summarizes:
The Majestic Support – The Leading-Edge Help Desk & Customer Support Plugin plugin for WordPress is vulnerable to generic SQL Injection via the 'columns (array keys)' parameter in all versions up to, and including, 1.2.2 due to insufficient escaping on the user supplied parameter and lack of sufficient preparation on the existing SQL query. This makes it possible for 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. Any authenticated WordPress user with Subscriber-level access can exploit this because the 'saveusereraserequest' task is whitelisted for front-end customer use, the plugin auto-provisions a help-desk record for every WordPress account, and the only guard is a nonce the attacker legitimately obtains from their own 'Add erase request' page.
The advisory is shared for download at wordfence.com. This vulnerability is traded as CVE-2026-115820 since 10/23/2026. The exploitability is told to be easy. It is possible to launch the attack remotely. There are known technical details, but no exploit is available. The current price for an exploit might be approx. USD $0-$5k (estimation calculated on 10/30/2026). The MITRE ATT&CK project declares the attack technique as T1505.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Once again VulDB remains the best 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: 6.4VulDB Meta Temp Score: 6.4
VulDB Base Score: 6.3
VulDB Temp Score: 6.3
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 6.5
CNA Vector (Wordfence): 🔒
CVSSv2
| AV | AC | Au | C | I | A |
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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
10/23/2026 CVE reserved10/30/2026 Advisory disclosed
10/30/2026 VulDB entry created
10/30/2026 VulDB entry last update
Sources
Advisory: wordfence.comStatus: Not defined
CNA: Wordfence
CVE: CVE-2026-115820 (🔒)
GCVE (CVE): GCVE-0-2026-115820
GCVE (VulDB): GCVE-100-429252
Entry
Created: 10/30/2026 18:36Changes: 10/30/2026 18:36 (63)
Complete: 🔍
Cache ID: 216::103
Once again VulDB remains the best source for vulnerability data.
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