MetInfo 7.0.0beta language_general.class.php appno sql injection

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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5.9$0-$5k0.00

Summaryinfo

A vulnerability classified as critical has been found in MetInfo 7.0.0beta. Affected by this issue is some unknown functionality of the file app/system/language/admin/language_general.class.php. The manipulation of the argument appno as part of Parameter leads to sql injection. This vulnerability is referenced as CVE-2019-16997. Remote exploitation of the attack is possible. No exploit is available.

Detailsinfo

A vulnerability, which was classified as critical, has been found in MetInfo 7.0.0beta (Content Management System). This issue affects some unknown processing of the file app/system/language/admin/language_general.class.php. The manipulation of the argument appno as part of a Parameter 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:

In Metinfo 7.0.0beta, a SQL Injection was discovered in app/system/language/admin/language_general.class.php via the admin/?n=language&c=language_general&a=doExportPack appno parameter.

The weakness was published 09/30/2019. The identification of this vulnerability is CVE-2019-16997 since 09/30/2019. The attack may be initiated remotely. Required for exploitation is a simple authentication. 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.

By approaching the search of inurl:app/system/language/admin/language_general.class.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.

Similar entry is available at VDB-142714. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

Name

Version

License

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.9
VulDB Meta Temp Score: 5.9

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

NVD Base Score: 7.2
NVD Vector: 🔍

CVSSv2info

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

NVD Base Score: 🔍

Exploitinginfo

Class: Sql injection
CWE: CWE-89 / CWE-74 / CWE-707
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined
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

09/30/2019 🔍
09/30/2019 +0 days 🔍
10/01/2019 +1 days 🔍
12/29/2023 +1550 days 🔍

Sourcesinfo

Advisory: github.com
Status: Not defined

CVE: CVE-2019-16997 (🔍)
GCVE (CVE): GCVE-0-2019-16997
GCVE (VulDB): GCVE-100-142715
See also: 🔍

Entryinfo

Created: 10/01/2019 08:43
Updated: 12/29/2023 07:33
Changes: 10/01/2019 08:43 (37), 09/16/2020 16:29 (18), 12/29/2023 07:33 (3)
Complete: 🔍
Cache ID: 216::103

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

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