oretnom23 Fast Food Ordering System 1.0 Master.php?f=delete_category sql injection

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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6.1$0-$5k0.00

Summaryinfo

A vulnerability identified as critical has been detected in oretnom23 Fast Food Ordering System 1.0. This vulnerability affects unknown code of the file /ffos/classes/Master.php?f=delete_category. The manipulation leads to sql injection. This vulnerability is referenced as CVE-2022-32332. Remote exploitation of the attack is possible. No exploit is available.

Detailsinfo

A vulnerability was found in oretnom23 Fast Food Ordering System 1.0 and classified as critical. This issue affects some unknown functionality of the file /ffos/classes/Master.php?f=delete_category. The manipulation with an unknown input leads to a sql injection vulnerability. Using CWE to declare the problem leads to CWE-89. The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Impacted is confidentiality, integrity, and availability. The summary by CVE is:

Fast Food Ordering System v1.0 is vulnerable to SQL Injection via /ffos/classes/Master.php?f=delete_category.

The weakness was published 06/15/2022. It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2022-32332 since 06/05/2022. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.

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

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.3
VulDB Meta Temp Score: 6.1

VulDB Base Score: 6.3
VulDB Temp Score: 6.1
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: Sql injection
CWE: CWE-89 / CWE-74 / CWE-707
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined

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

06/05/2022 🔍
06/15/2022 +10 days 🔍
06/15/2022 +0 days 🔍
06/15/2022 +0 days 🔍

Sourcesinfo

Advisory: github.com
Status: Not defined

CVE: CVE-2022-32332 (🔍)
GCVE (CVE): GCVE-0-2022-32332
GCVE (VulDB): GCVE-100-201875

Entryinfo

Created: 06/15/2022 07:17
Changes: 06/15/2022 07:17 (38)
Complete: 🔍
Cache ID: 216::103

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

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