Campcodes Retro Basketball Shoes Online Store 1.0 /admin/admin_running.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.
3.6$0-$5k0.00

Summaryinfo

A vulnerability was found in Campcodes Retro Basketball Shoes Online Store 1.0. It has been classified as problematic. This affects an unknown part of the file /admin/admin_running.php. The manipulation of the argument product_name leads to cross site scripting. This vulnerability is traded as CVE-2025-13412. It is possible to initiate the attack remotely. Furthermore, there is an exploit available.

Detailsinfo

A vulnerability, which was classified as problematic, has been found in Campcodes Retro Basketball Shoes Online Store 1.0. This issue affects an unknown code block of the file /admin/admin_running.php. The manipulation of the argument 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-2025-13412. The exploitation is known to be easy. The attack may be initiated remotely. Additional levels of successful authentication are needed for exploitation. 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. By approaching the search of inurl:admin/admin_running.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

Vendor

Name

Version

License

Website

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: 3.6
VulDB Meta Temp Score: 3.6

VulDB Base Score: 2.4
VulDB Temp Score: 2.2
VulDB Vector: 🔒
VulDB Reliability: 🔍

NVD Base Score: 6.1
NVD Vector: 🔒

CNA Base Score: 2.4
CNA Vector: 🔒

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

11/19/2025 Advisory disclosed
11/19/2025 +0 days VulDB entry created
11/24/2025 +5 days VulDB entry last update

Sourcesinfo

Vendor: campcodes.com

Advisory: github.com
Status: Not defined

CVE: CVE-2025-13412 (🔒)
GCVE (CVE): GCVE-0-2025-13412
GCVE (VulDB): GCVE-100-332939
scip Labs: https://www.scip.ch/en/?labs.20161013

Entryinfo

Created: 11/19/2025 15:39
Updated: 11/24/2025 20:40
Changes: 11/19/2025 15:39 (55), 11/20/2025 12:49 (30), 11/24/2025 20:40 (11)
Complete: 🔍
Submitter: laosiji
Cache ID: 216::103

Submitinfo

Accepted

  • Submit #693698: campcodes Retro Basketball Shoes Online Store V1.0 cross site scripting (by laosiji)

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

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