code-projects Kitchen Treasure 1.0 /userregistration.php photo unrestricted upload

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.
7.3$0-$5k0.00

Summaryinfo

A vulnerability was found in code-projects Kitchen Treasure 1.0. It has been classified as critical. Affected is an unknown function of the file /userregistration.php. Performing a manipulation of the argument photo results in unrestricted upload. This vulnerability was named CVE-2025-8504. The attack may be initiated remotely. In addition, an exploit is available.

Detailsinfo

A vulnerability, which was classified as critical, was found in code-projects Kitchen Treasure 1.0. This affects an unknown code block of the file /userregistration.php. The manipulation of the argument photo with an unknown input leads to a unrestricted upload vulnerability. CWE is classifying the issue as CWE-434. The product allows the attacker to upload or transfer files of dangerous types that can be automatically processed within the product's environment. This is going to have an impact on confidentiality, integrity, and availability.

It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2025-8504. The exploitability is told to be easy. It is possible to initiate the attack remotely. Technical details and a public exploit are known. The attack technique deployed by this issue is T1608.002 according to MITRE ATT&CK.

The exploit is shared for download at github.com. It is declared as proof-of-concept. By approaching the search of inurl:userregistration.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-2025-23472). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

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Vendor

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Version

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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: 7.5
VulDB Meta Temp Score: 7.3

VulDB Base Score: 6.3
VulDB Temp Score: 5.7
VulDB Vector: 🔒
VulDB Reliability: 🔍

NVD Base Score: 9.8
NVD Vector: 🔒

CNA Base Score: 6.3
CNA Vector: 🔒

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Unrestricted upload
CWE: CWE-434 / CWE-284 / CWE-266
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

08/02/2025 Advisory disclosed
08/02/2025 +0 days VulDB entry created
08/08/2025 +6 days VulDB entry last update

Sourcesinfo

Vendor: code-projects.org

Advisory: github.com
Status: Not defined

CVE: CVE-2025-8504 (🔒)
GCVE (CVE): GCVE-0-2025-8504
GCVE (VulDB): GCVE-100-318603
EUVD: 🔒
scip Labs: https://www.scip.ch/en/?labs.20161013

Entryinfo

Created: 08/02/2025 09:06
Updated: 08/08/2025 19:48
Changes: 08/02/2025 09:06 (56), 08/03/2025 10:37 (30), 08/03/2025 11:08 (1), 08/04/2025 15:25 (1), 08/08/2025 19:48 (11)
Complete: 🔍
Submitter: Haoatao
Cache ID: 216:05A:103

Submitinfo

Accepted

  • Submit #626935: code-projects Kitchen Treasure V1.0 Unrestricted Upload (by Haoatao)

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

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