VDB-94795 · CVE-2016-1000155 · BID 93536

wpsolr-search-engine Plugin 7.6 on WordPress Reflected cross site scripting

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.
5.2$0-$5k0.00

Summaryinfo

A vulnerability, which was classified as problematic, has been found in wpsolr-search-engine Plugin 7.6 on WordPress. This affects an unknown function. This manipulation causes cross site scripting (Reflected). This vulnerability is registered as CVE-2016-1000155. Remote exploitation of the attack is possible. No exploit is available.

Detailsinfo

A vulnerability was found in wpsolr-search-engine Plugin 7.6 on WordPress (WordPress Plugin). It has been declared as problematic. Affected by this vulnerability is an unknown functionality. The manipulation with an unknown input leads to a cross site scripting vulnerability (Reflected). 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:

Reflected XSS in wordpress plugin wpsolr-search-engine v7.6

The bug was discovered 04/09/2016. The weakness was published 10/10/2016 by Larry W. Cashdollar (Website). It is possible to read the advisory at securityfocus.com. This vulnerability is known as CVE-2016-1000155 since 07/20/2016. The attack can be launched remotely. The exploitation doesn't need any form of authentication. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available. 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 184 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.

The vulnerability is also documented in the vulnerability database at SecurityFocus (BID 93536†). 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: 5.2
VulDB Meta Temp Score: 5.2

VulDB Base Score: 4.3
VulDB Temp Score: 4.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 6.1
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

Name: Reflected
Class: Cross site scripting / Reflected
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

04/09/2016 🔍
07/20/2016 +102 days 🔍
10/10/2016 +82 days 🔍
10/10/2016 +0 days 🔍
10/13/2016 +3 days 🔍
01/01/2017 +80 days 🔍
07/24/2019 +934 days 🔍

Sourcesinfo

Advisory: securityfocus.com⛔
Researcher: Larry W. Cashdollar
Status: Not defined

CVE: CVE-2016-1000155 (🔍)
GCVE (CVE): GCVE-0-2016-1000155
GCVE (VulDB): GCVE-100-94795
SecurityFocus: 93536 - WordPress wpsolr-search-engine Plugin 'template-my-accounts.php' Cross Site Scripting Vulnerability

Entryinfo

Created: 01/01/2017 10:08
Updated: 07/24/2019 09:07
Changes: 01/01/2017 10:08 (58), 07/24/2019 09:07 (5)
Complete: 🔍
Cache ID: 216::103

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

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