Senayan Library Management Systems 9.6.1 coll_type.php sql injection

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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6.1$0-$5k0.00

Summaryinfo

A vulnerability marked as critical has been reported in Senayan Library Management Systems 9.6.1. The impacted element is an unknown function of the file admin/modules/master_file/coll_type.php. Performing a manipulation results in sql injection. This vulnerability is known as CVE-2025-25403. Remote exploitation of the attack is possible. No exploit is available.

Detailsinfo

A vulnerability was found in Senayan Library Management Systems 9.6.1. It has been classified as critical. This affects an unknown code of the file admin/modules/master_file/coll_type.php. The manipulation 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:

Slims (Senayan Library Management Systems) 9 Bulian V9.6.1 is vulnerable to SQL Injection in admin/modules/master_file/coll_type.php.

It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2025-25403 since 02/07/2025. The exploitability is told to be easy. It is possible to initiate the attack remotely. 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 04/29/2025). The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.

By approaching the search of inurl:admin/modules/master_file/coll_type.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

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.3
VulDB Meta Temp Score: 6.1

VulDB Base Score: 6.3
VulDB Temp Score: 6.1
VulDB Vector: 🔍
VulDB Reliability: 🔍

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: 🔍
Status: Not defined
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

02/07/2025 🔍
04/29/2025 +80 days 🔍
04/29/2025 +0 days 🔍
04/29/2025 +0 days 🔍

Sourcesinfo

Advisory: github.com
Status: Not defined

CVE: CVE-2025-25403 (🔍)
GCVE (CVE): GCVE-0-2025-25403
GCVE (VulDB): GCVE-100-306555

Entryinfo

Created: 04/29/2025 18:45
Changes: 04/29/2025 18:45 (54)
Complete: 🔍
Cache ID: 216::103

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

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