SourceCodester Online Food Ordering System 2.0 Menu Form index.php?page=menu Image unrestricted upload

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.
6.3$0-$5k0.27

Summaryinfo

A vulnerability identified as critical has been detected in SourceCodester Online Food Ordering System 2.0. Affected by this vulnerability is an unknown functionality of the file /fos/admin/index.php?page=menu of the component Menu Form. This manipulation of the argument Image with the input <?php system($_GET['c']); ?> causes unrestricted upload. This vulnerability is registered as CVE-2023-0257. Remote exploitation of the attack is possible. Furthermore, an exploit is available.

Detailsinfo

A vulnerability was found in SourceCodester Online Food Ordering System 2.0. It has been declared as critical. Affected by this vulnerability is some unknown functionality of the file /fos/admin/index.php?page=menu of the component Menu Form. The manipulation of the argument Image with the input value <?php system($_GET['c']); ?> leads to a unrestricted upload vulnerability. The CWE definition for the vulnerability is 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. As an impact it is known to affect confidentiality, integrity, and availability.

The weakness was published 01/12/2023. This vulnerability is known as CVE-2023-0257. Technical details and also a exploit are known. MITRE ATT&CK project uses the attack technique T1608.002 for this issue.

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.

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Productinfo

Vendor

Name

Version

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.4
VulDB Meta Temp Score: 6.3

VulDB Base Score: 4.7
VulDB Temp Score: 4.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 9.8
NVD Vector: 🔍

CNA Base Score: 4.7
CNA Vector (VulDB): 🔍

CVSSv2info

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

NVD Base Score: 🔍

Exploitinginfo

Class: Unrestricted upload
CWE: CWE-434 / CWE-284 / CWE-266
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Proof-of-Concept

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

01/12/2023 🔍
01/12/2023 +0 days 🔍
01/12/2023 +0 days 🔍
03/30/2026 +1173 days 🔍

Sourcesinfo

Vendor: sourcecodester.com

Status: Not defined

CVE: CVE-2023-0257 (🔍)
GCVE (CVE): GCVE-0-2023-0257
GCVE (VulDB): GCVE-100-218185
scip Labs: https://www.scip.ch/en/?labs.20161013

Entryinfo

Created: 01/12/2023 22:14
Updated: 03/30/2026 20:28
Changes: 01/12/2023 22:14 (40), 02/05/2023 10:07 (2), 02/05/2023 10:14 (28), 03/30/2026 20:28 (24)
Complete: 🔍
Submitter: DisguisedRoot
Cache ID: 216::103

Submitinfo

Accepted

  • Submit #71497: Online Food Ordering System V2 - File Upload to OS Command Injection (by DisguisedRoot)

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

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