FireStorm Professional Real Estate Plugin up to 2.7.11 on WordPress sql injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.6 | $0-$5k | 0.00 |
Summary
A vulnerability, which was classified as critical, has been found in FireStorm Professional Real Estate Plugin up to 2.7.11 on WordPress. This affects an unknown function. The manipulation leads to sql injection. This vulnerability is referenced as CVE-2026-22470. Remote exploitation of the attack is possible. No exploit is available.
Details
A vulnerability was found in FireStorm Professional Real Estate Plugin up to 2.7.11 on WordPress and classified as critical. This issue affects an unknown functionality. The manipulation 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:
Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in FireStorm Plugins FireStorm Professional Real Estate fs-real-estate-plugin allows Blind SQL Injection.This issue affects FireStorm Professional Real Estate: from n/a through <= 2.7.11.
It is possible to read the advisory at wordfence.com. The identification of this vulnerability is CVE-2026-22470. The exploitation is known to be easy. The attack may be initiated remotely. The exploitation requires an enhanced level of successful authentication. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 01/28/2026). 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.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 4.7VulDB Meta Temp Score: 4.6
VulDB Base Score: 4.7
VulDB Temp Score: 4.6
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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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
EPSS Score: 🔒
EPSS Percentile: 🔒
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
01/14/2026 Advisory disclosed01/14/2026 VulDB entry created
01/28/2026 VulDB entry last update
Sources
Advisory: wordfence.comStatus: Not defined
CVE: CVE-2026-22470 (🔒)
GCVE (CVE): GCVE-0-2026-22470
GCVE (VulDB): GCVE-100-341195
Entry
Created: 01/14/2026 21:51Updated: 01/28/2026 12:43
Changes: 01/14/2026 21:51 (51), 01/28/2026 12:43 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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