kimsQ Rb 2.3.0 ?r=home&mod=mypage&page=info cross site scripting

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
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.
4.4$0-$5k0.00

Summaryinfo

A vulnerability classified as problematic has been found in kimsQ Rb 2.3.0. The affected element is an unknown function of the file /?r=home&mod=mypage&page=info. This manipulation causes cross site scripting. The identification of this vulnerability is CVE-2018-19324. It is possible to initiate the attack remotely. There is no exploit available.

Detailsinfo

A vulnerability was found in kimsQ Rb 2.3.0. It has been declared as problematic. Affected by this vulnerability is some unknown processing of the file /?r=home&mod=mypage&page=info. The manipulation with an unknown input leads to a cross site scripting vulnerability. The CWE definition for the vulnerability is CWE-79. The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users. As an impact it is known to affect integrity. The summary by CVE is:

kimsQ Rb 2.3.0 allows XSS via the second input field to the /?r=home&mod=mypage&page=info URI.

The bug was discovered 11/14/2018. The weakness was shared 11/17/2018 (Website). It is possible to read the advisory at github.com. This vulnerability is known as CVE-2018-19324 since 11/17/2018. The attack can be launched remotely. Required for exploitation is a single authentication. It demands that the victim is doing some kind of user interaction. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1059.007 according to MITRE ATT&CK.

The vulnerability was handled as a non-public zero-day exploit for at least 3 days. During that time the estimated underground price was around $0-$5k.

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

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 4.4
VulDB Meta Temp Score: 4.4

VulDB Base Score: 3.5
VulDB Temp Score: 3.5
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 5.4
NVD Vector: 🔍

CVSSv2info

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

NVD Base Score: 🔍

Exploitinginfo

Class: Cross site scripting
CWE: CWE-79 / CWE-94 / CWE-74
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

11/14/2018 🔍
11/17/2018 +3 days 🔍
11/17/2018 +0 days 🔍
11/17/2018 +0 days 🔍
11/18/2018 +1 days 🔍
04/13/2020 +512 days 🔍

Sourcesinfo

Advisory: github.com
Status: Not defined

CVE: CVE-2018-19324 (🔍)
GCVE (CVE): GCVE-0-2018-19324
GCVE (VulDB): GCVE-100-126979

Entryinfo

Created: 11/18/2018 15:57
Updated: 04/13/2020 21:31
Changes: 11/18/2018 15:57 (56), 04/13/2020 21:31 (1)
Complete: 🔍
Cache ID: 216::103

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

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