SourceCodester Online Eyewear Shop 1.0 Inventory Page Master.php?f=save_product brand 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.
5.2$0-$5k0.00

Summaryinfo

A vulnerability was found in SourceCodester Online Eyewear Shop 1.0. It has been rated as problematic. This vulnerability affects unknown code of the file /oews/classes/Master.php?f=save_product of the component Inventory Page. This manipulation of the argument brand causes cross site scripting. This vulnerability appears as CVE-2024-11247. The attack may be initiated remotely. In addition, an exploit is available. Other parameters might be affected as well.

Detailsinfo

A vulnerability has been found in SourceCodester Online Eyewear Shop 1.0 and classified as problematic. Affected by this vulnerability is an unknown function of the file /oews/classes/Master.php?f=save_product of the component Inventory Page. The manipulation of the argument brand 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-2024-11247. The exploitation appears to be easy. The attack can be launched remotely. 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. Other parameters might be affected as well.

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

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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: 5.4
VulDB Meta Temp Score: 5.2

VulDB Base Score: 3.5
VulDB Temp Score: 3.2
VulDB Vector: 🔍
VulDB Reliability: 🔍

Researcher Base Score: 9.1
Researcher Vector: 🔍

NVD Base Score: 5.4
NVD Vector: 🔍

CNA Base Score: 3.5
CNA Vector: 🔍

CVSSv2info

AVACAuCIA
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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: 🔍

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

11/15/2024 🔍
11/15/2024 +0 days 🔍
02/26/2025 +103 days 🔍

Sourcesinfo

Vendor: sourcecodester.com

Advisory: github.com
Status: Not defined

CVE: CVE-2024-11247 (🔍)
GCVE (CVE): GCVE-0-2024-11247
GCVE (VulDB): GCVE-100-284683
scip Labs: https://www.scip.ch/en/?labs.20161013

Entryinfo

Created: 11/15/2024 08:37
Updated: 02/26/2025 19:51
Changes: 11/15/2024 08:37 (57), 11/15/2024 09:41 (11), 11/15/2024 09:44 (3), 11/20/2024 08:54 (41), 02/26/2025 19:51 (3)
Complete: 🔍
Submitter: Din0s4ur
Committer: Din0s4ur
Cache ID: 216::103

Submitinfo

Accepted

  • Submit #443194: sourcecodester Online Eyewear Shop Website v1.0 XSS (by Din0s4ur)

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

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