MetInfo 6.1.0 feedback_admin.class.php doexport class1 sql injection

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
3.6$0-$5k0.00

Summaryinfo

A vulnerability marked as problematic has been reported in MetInfo 6.1.0. This affects the function doexport of the file app/system/feedback/admin/feedback_admin.class.php. The manipulation of the argument class1 leads to sql injection. This vulnerability is documented as CVE-2018-17129. The attack can be initiated remotely. There is not any exploit available.

Detailsinfo

A vulnerability, which was classified as problematic, has been found in MetInfo 6.1.0 (Content Management System). This issue affects the function doexport of the file app/system/feedback/admin/feedback_admin.class.php. The manipulation of the argument class1 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 integrity. The summary by CVE is:

MetInfo 6.1.0 has XSS in doexport() in app/system/feedback/admin/feedback_admin.class.php via the class1 field.

The bug was discovered 08/15/2018. The weakness was released 09/17/2018 (Website). The advisory is shared at github.com. The identification of this vulnerability is CVE-2018-17129 since 09/16/2018. The attack may be initiated remotely. A simple authentication is needed for exploitation. It demands that the victim is doing some kind of user interaction. Technical details are known, but no exploit is available. MITRE ATT&CK project uses the attack technique T1505 for this issue.

The vulnerability was handled as a non-public zero-day exploit for at least 33 days. During that time the estimated underground price was around $0-$5k. By approaching the search of inurl:app/system/feedback/admin/feedback_admin.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.

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Productinfo

Type

Name

Version

License

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 3.7
VulDB Meta Temp Score: 3.7

VulDB Base Score: 2.4
VulDB Temp Score: 2.4
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 4.9
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

08/15/2018 🔍
09/16/2018 +31 days 🔍
09/17/2018 +1 days 🔍
09/17/2018 +0 days 🔍
09/17/2018 +0 days 🔍
03/24/2020 +554 days 🔍

Sourcesinfo

Advisory: github.com
Status: Not defined

CVE: CVE-2018-17129 (🔍)
GCVE (CVE): GCVE-0-2018-17129
GCVE (VulDB): GCVE-100-124121

Entryinfo

Created: 09/17/2018 09:19
Updated: 03/24/2020 11:56
Changes: 09/17/2018 09:19 (58), 03/24/2020 11:56 (1)
Complete: 🔍
Cache ID: 216::103

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

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