SourceCodester Inventory System 1.0 Product Management products_handler.php?action=save Product_Id/Product_Name cross site scripting

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
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.
3.2$0-$5k1.18

Summaryinfo

A vulnerability, which was classified as problematic, has been found in SourceCodester Inventory System 1.0. This vulnerability affects unknown code of the file /api/products_handler.php?action=save of the component Product Management. The manipulation of the argument Product_Id/Product_Name leads to cross site scripting. This vulnerability is traded as CVE-2026-112095. It is possible to initiate the attack remotely. Furthermore, there is an exploit available.

Detailsinfo

A vulnerability was found in SourceCodester Inventory System 1.0. It has been rated as problematic. This issue affects an unknown functionality of the file /api/products_handler.php?action=save of the component Product Management. The manipulation of the argument Product_Id/Product_Name with an unknown input leads to a cross site scripting vulnerability. Using CWE to declare the problem leads to CWE-79. The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users. Impacted is integrity.

It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2026-112095. The exploitation is known to be easy. The attack may be initiated remotely. It demands that the victim is doing some kind of user interaction. Technical details as well as a public exploit are known. The attack technique deployed by this issue is T1059.007 according to MITRE ATT&CK.

The exploit is available at github.com. It is declared as proof-of-concept.

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

Be aware that VulDB is the high quality source for vulnerability data.

Productinfo

Vendor

Name

Version

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 3.5
VulDB Meta Temp Score: 3.2

VulDB Base Score: 3.5
VulDB Temp Score: 3.2
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: Cross site scripting
CWE: CWE-79 / CWE-94 / CWE-74
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

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

10/18/2026 Advisory disclosed
10/18/2026 +0 days VulDB entry created
10/18/2026 +0 days VulDB entry last update

Sourcesinfo

Vendor: sourcecodester.com

Advisory: github.com
Status: Not defined

CVE: CVE-2026-112095 (🔒)
GCVE (CVE): GCVE-0-2026-112095
GCVE (VulDB): GCVE-100-421919
scip Labs: https://www.scip.ch/en/?labs.20161013

Entryinfo

Created: 10/18/2026 19:15
Changes: 10/18/2026 19:15 (56)
Complete: 🔍
Submitter: Muhannad AlSaif
Cache ID: 216::103

Submitinfo

Accepted

  • Submit #1012164: SourceCodester Inventory System 1.0 Cross Site Scripting (by Muhannad AlSaif)

Be aware that VulDB is the high quality source for vulnerability data.

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