Online Diagnostic Lab Management System 1.0 /diagnostic/edittest.php ID sql injection

CVSS Meta Temp Score
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CTI Interest Score
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6.4$0-$5k0.00

Summaryinfo

A vulnerability was found in Online Diagnostic Lab Management System 1.0. It has been rated as critical. The affected element is an unknown function of the file /diagnostic/edittest.php. Performing a manipulation of the argument ID results in sql injection. This vulnerability is known as CVE-2022-41513. Remote exploitation of the attack is possible. Furthermore, an exploit is available.

Detailsinfo

A vulnerability, which was classified as critical, was found in Online Diagnostic Lab Management System 1.0. This affects an unknown function of the file /diagnostic/edittest.php. The manipulation of the argument id 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 summary by CVE is:

Online Diagnostic Lab Management System v1.0 was discovered to contain a SQL injection vulnerability via the id parameter at /diagnostic/edittest.php.

The weakness was published 10/08/2022. It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2022-41513 since 09/26/2022. Technical details and a public exploit are known. The attack technique deployed by this issue is T1505 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:diagnostic/edittest.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.

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: 6.7
VulDB Meta Temp Score: 6.4

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

NVD Base Score: 7.2
NVD Vector: 🔍

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: 🔍
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

09/26/2022 🔍
10/08/2022 +12 days 🔍
10/08/2022 +0 days 🔍
10/31/2022 +23 days 🔍

Sourcesinfo

Advisory: github.com
Status: Not defined

CVE: CVE-2022-41513 (🔍)
GCVE (CVE): GCVE-0-2022-41513
GCVE (VulDB): GCVE-100-210315
scip Labs: https://www.scip.ch/en/?labs.20161013

Entryinfo

Created: 10/08/2022 08:50
Updated: 10/31/2022 09:52
Changes: 10/08/2022 08:50 (41), 10/31/2022 09:52 (11)
Complete: 🔍
Cache ID: 216::103

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