Doditsolutions Homey BNB V4 cms_getpagetitle.php catid sql injection

CVSS Meta Temp Score
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CTI Interest Score
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7.4$0-$5k0.00

Summaryinfo

A vulnerability, which was classified as critical, has been found in Doditsolutions Homey BNB V4. Affected by this issue is some unknown functionality of the file admin/cms_getpagetitle.php. Performing a manipulation of the argument catid results in sql injection. This vulnerability is known as CVE-2019-25491. Remote exploitation of the attack is possible. Furthermore, an exploit is available.

Detailsinfo

A vulnerability, which was classified as critical, was found in Doditsolutions Homey BNB V4. This affects an unknown functionality of the file admin/cms_getpagetitle.php. The manipulation of the argument catid 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:

Homey BNB V4 contains an SQL injection vulnerability that allows unauthenticated attackers to manipulate database queries by injecting SQL code through the catid parameter. Attackers can send GET requests to the admin/cms_getpagetitle.php endpoint with malicious catid values to extract sensitive database information.

The weakness was published by Ahmet Ümit Bayram as 46616. It is possible to read the advisory at exploit-db.com. This vulnerability is uniquely identified as CVE-2019-25491 since 02/27/2026. 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 and a public exploit are known. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.

The exploit is shared for download at exploit-db.com. It is declared as proof-of-concept. By approaching the search of inurl:admin/cms_getpagetitle.php it is possible to find vulnerable targets with Google Hacking.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

The vulnerability is also documented in the vulnerability database at Exploit-DB (46616). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒

CVSSv3info

VulDB Meta Base Score: 7.7
VulDB Meta Temp Score: 7.4

VulDB Base Score: 7.3
VulDB Temp Score: 6.6
VulDB Vector: 🔒
VulDB Reliability: 🔍

NVD Base Score: 7.5
NVD Vector: 🔒

CNA Base Score: 8.2
CNA Vector (VulnCheck): 🔒

CVSSv2info

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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Sql injection
CWE: CWE-89 / CWE-74 / CWE-707
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Access: Public
Status: Proof-of-Concept
Download: 🔒
Google Hack: 🔒

EPSS Score: 🔒
EPSS Percentile: 🔒

Price Prediction: 🔍
Current Price Estimation: 🔒

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Exploit-DB: 🔒

Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

02/27/2026 Advisory disclosed
02/27/2026 +0 days CVE reserved
02/27/2026 +0 days VulDB entry created
03/06/2026 +7 days VulDB entry last update

Sourcesinfo

Advisory: 46616
Researcher: Ahmet Ümit Bayram
Status: Not defined

CVE: CVE-2019-25491 (🔒)
GCVE (CVE): GCVE-0-2019-25491
GCVE (VulDB): GCVE-100-348195
scip Labs: https://www.scip.ch/en/?labs.20161013

Entryinfo

Created: 02/27/2026 22:13
Updated: 03/06/2026 22:45
Changes: 02/27/2026 22:13 (81), 03/06/2026 22:45 (9)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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