projectworlds Advanced Library Management System 1.0 /index.php keywords sql injection

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
7.9$0-$5k0.00

Summaryinfo

A vulnerability marked as critical has been reported in projectworlds Advanced Library Management System 1.0. The affected element is an unknown function of the file /index.php. Performing a manipulation of the argument keywords results in sql injection. This vulnerability is reported as CVE-2025-12237. The attack is possible to be carried out remotely. Moreover, an exploit is present.

Detailsinfo

A vulnerability, which was classified as critical, was found in projectworlds Advanced Library Management System 1.0. This affects an unknown code of the file /index.php. The manipulation of the argument keywords 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.

It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2025-12237. 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 github.com. It is declared as proof-of-concept. By approaching the search of inurl:index.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.

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

Productinfo

Type

Vendor

Name

Version

License

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: 8.1
VulDB Meta Temp Score: 7.9

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

NVD Base Score: 9.8
NVD Vector: 🔒

CNA Base Score: 7.3
CNA Vector: 🔒

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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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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Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

10/25/2025 Advisory disclosed
10/25/2025 +0 days VulDB entry created
10/27/2025 +2 days VulDB entry last update

Sourcesinfo

Advisory: github.com
Status: Not defined

CVE: CVE-2025-12237 (🔒)
GCVE (CVE): GCVE-0-2025-12237
GCVE (VulDB): GCVE-100-329907
scip Labs: https://www.scip.ch/en/?labs.20161013

Entryinfo

Created: 10/25/2025 19:10
Updated: 10/27/2025 23:35
Changes: 10/25/2025 19:10 (56), 10/27/2025 10:44 (30), 10/27/2025 23:35 (11)
Complete: 🔍
Submitter: j-jcp
Cache ID: 216:00B:103

Submitinfo

Accepted

  • Submit #673715: projectworlds Advanced Library Management System 1.0 SQL Injection (by j-jcp)

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

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