ListingPro Theme up to 2.0.14.1 on WordPress Listing Submit Page Day/Night Persistent 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 has been found in ListingPro Theme up to 2.0.14.1 on WordPress and classified as problematic. Affected by this issue is some unknown functionality of the component Listing Submit Page. The manipulation of the argument Day/Night leads to cross site scripting (Persistent). This vulnerability is documented as CVE-2019-19541. The attack can be initiated remotely. There is not any exploit available. The affected component should be upgraded.

Detailsinfo

A vulnerability was found in ListingPro Theme up to 2.0.14.1 on WordPress (WordPress Plugin) and classified as problematic. This issue affects an unknown part of the component Listing Submit Page. The manipulation of the argument Day/Night with an unknown input leads to a cross site scripting vulnerability (Persistent). Using CWE to declare the problem leads to 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. Impacted is integrity. The summary by CVE is:

The ListingPro theme before v2.0.14.2 for WordPress has Persistent XSS via the Best Day/Night field on the new listing submit page.

The weakness was released 12/26/2019. The identification of this vulnerability is CVE-2019-19541 since 12/03/2019. The attack may be initiated remotely. A simple authentication is necessary for exploitation. 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.

Upgrading to version 2.0.14.2 eliminates this vulnerability.

Entries connected to this vulnerability are available at VDB-147732 and VDB-147730. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

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: 3.4
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 5.4
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

Name: Persistent
Class: Cross site scripting / Persistent
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: 🔍

0-DayUnlockUnlockUnlockUnlock
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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔍

Upgrade: ListingPro Theme 2.0.14.2

Timelineinfo

12/03/2019 🔍
12/26/2019 +23 days 🔍
12/27/2019 +1 days 🔍
03/17/2024 +1542 days 🔍

Sourcesinfo

Advisory: wpvulndb.com
Status: Not defined

CVE: CVE-2019-19541 (🔍)
GCVE (CVE): GCVE-0-2019-19541
GCVE (VulDB): GCVE-100-147731
See also: 🔍

Entryinfo

Created: 12/27/2019 08:08
Updated: 03/17/2024 08:53
Changes: 12/27/2019 08:08 (40), 12/27/2019 08:13 (18), 03/17/2024 08:53 (4)
Complete: 🔍
Cache ID: 216::103

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

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