Automotive Shop Management System 1.0 manage_transaction ID sql injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.6 | $0-$5k | 0.00 |
Summary
A vulnerability classified as critical has been found in Automotive Shop Management System 1.0. This impacts an unknown function of the file /asms/admin/?page=transactions/manage_transaction. This manipulation of the argument ID causes sql injection. This vulnerability appears as CVE-2022-44820. The attack may be initiated remotely. There is no available exploit.
Details
A vulnerability classified as critical was found in Automotive Shop Management System 1.0. Affected by this vulnerability is some unknown processing of the file /asms/admin/?page=transactions/manage_transaction. The manipulation of the argument id with an unknown input leads to a sql injection vulnerability. The CWE definition for the vulnerability is 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. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
Automotive Shop Management System v1.0 is vulnerable to SQL Injection via /asms/admin/?page=transactions/manage_transaction&id=.
The weakness was presented 11/19/2022. It is possible to read the advisory at github.com. This vulnerability is known as CVE-2022-44820 since 11/07/2022. 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.
Product
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.7VulDB Meta Temp Score: 6.6
VulDB Base Score: 6.3
VulDB Temp Score: 6.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.2
NVD Vector: 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Sql injectionCWE: 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: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
11/07/2022 🔍11/19/2022 🔍
11/19/2022 🔍
04/30/2025 🔍
Sources
Advisory: github.comStatus: Not defined
CVE: CVE-2022-44820 (🔍)
GCVE (CVE): GCVE-0-2022-44820
GCVE (VulDB): GCVE-100-214003
Entry
Created: 11/19/2022 10:51Updated: 04/30/2025 01:34
Changes: 11/19/2022 10:51 (38), 12/20/2022 16:39 (12), 04/30/2025 01:34 (15)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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