code-projects Online Shoe Store 1.0 Add Product Page /admin/admin_feature.php product_name cross site scripting

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.
2.2$0-$5k2.63

Summaryinfo

A vulnerability has been found in code-projects Online Shoe Store 1.0 and classified as problematic. This vulnerability affects unknown code of the file /admin/admin_feature.php of the component Add Product Page. This manipulation of the argument product_name causes cross site scripting. This vulnerability is registered as CVE-2026-5647. Remote exploitation of the attack is possible. Furthermore, an exploit is available.

Detailsinfo

A vulnerability was found in code-projects Online Shoe Store 1.0. It has been declared as problematic. Affected by this vulnerability is an unknown part of the file /admin/admin_feature.php of the component Add Product Page. The manipulation of the argument product_name with an unknown input leads to a cross site scripting vulnerability. The CWE definition for the vulnerability is 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. As an impact it is known to affect integrity.

It is possible to read the advisory at github.com. This vulnerability is known as CVE-2026-5647. The exploitation appears to be easy. The attack can be launched remotely. The exploitation requires an enhanced level of successful authentication. It demands that the victim is doing some kind of user interaction. Technical details and also a public exploit are known. The attack technique deployed by this issue is T1059.007 according to MITRE ATT&CK.

It is possible to download the exploit at github.com. It is declared as proof-of-concept. By approaching the search of inurl:admin/admin_feature.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 EUVD (EUVD-2026-19225). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

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Version

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Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 2.4
VulDB Meta Temp Score: 2.2

VulDB Base Score: 2.4
VulDB Temp Score: 2.2
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: 🔒
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

04/05/2026 Advisory disclosed
04/05/2026 +0 days VulDB entry created
04/06/2026 +1 days VulDB entry last update

Sourcesinfo

Vendor: code-projects.org

Advisory: github.com
Status: Not defined

CVE: CVE-2026-5647 (🔒)
GCVE (CVE): GCVE-0-2026-5647
GCVE (VulDB): GCVE-100-355435
EUVD: 🔒
scip Labs: https://www.scip.ch/en/?labs.20161013

Entryinfo

Created: 04/05/2026 22:47
Updated: 04/06/2026 14:34
Changes: 04/05/2026 22:47 (57), 04/06/2026 14:34 (1)
Complete: 🔍
Submitter: Jacky_159
Cache ID: 216:547:103

Submitinfo

Accepted

  • Submit #786171: code-projects Online Shoe Store V1.0 cross site scripting (by Jacky_159)

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

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