Merchandise Online Store 1.0 Master.php?f=delete_product sql injection

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
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6.1$0-$5k0.00

Summaryinfo

A vulnerability classified as critical has been found in Merchandise Online Store 1.0. Affected by this issue is some unknown functionality of the file /vloggers_merch/classes/Master.php?f=delete_product. Performing a manipulation results in sql injection. This vulnerability is cataloged as CVE-2022-30454. It is possible to initiate the attack remotely. There is no exploit available.

Detailsinfo

A vulnerability classified as critical has been found in Merchandise Online Store 1.0. This affects some unknown processing of the file /vloggers_merch/classes/Master.php?f=delete_product. The manipulation with an unknown input leads to a sql injection vulnerability. CWE is classifying the issue as 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. This is going to have an impact on confidentiality, integrity, and availability.

The weakness was shared 05/24/2022. It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2022-30454 since 05/09/2022. 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

Name

Version

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

05/09/2022 🔍
05/24/2022 +15 days 🔍
05/24/2022 +0 days 🔍
05/29/2022 +5 days 🔍

Sourcesinfo

Advisory: github.com
Status: Not defined

CVE: CVE-2022-30454 (🔍)
GCVE (CVE): GCVE-0-2022-30454
GCVE (VulDB): GCVE-100-200619

Entryinfo

Created: 05/24/2022 17:53
Updated: 05/29/2022 14:03
Changes: 05/24/2022 17:53 (36), 05/29/2022 14:03 (1)
Complete: 🔍
Cache ID: 216::103

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

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