VDB-100691 · CVE-2017-2136 · BID 97289

WP Statistics up to 12.0.4 Referer Header cross site scripting

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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5.2$0-$5k0.00

Summaryinfo

A vulnerability has been found in WP Statistics up to 12.0.4 and classified as problematic. This affects an unknown function. The manipulation as part of Referer Header leads to cross site scripting. This vulnerability is documented as CVE-2017-2136. The attack can be initiated remotely. There is not any exploit available.

Detailsinfo

A vulnerability was found in WP Statistics up to 12.0.4 (WordPress Plugin). It has been rated as problematic. This issue affects an unknown part. The manipulation as part of a Referer Header leads to a cross site scripting vulnerability. 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:

Cross-site scripting vulnerability in WP Statistics version 12.0.4 and earlier allows remote attackers to inject arbitrary web script or HTML via specially crafted HTTP Referer headers.

The bug was discovered 04/13/2017. The weakness was released 04/28/2017 with Mitsui Bussan Secure Directions, Inc. (Website). It is possible to read the advisory at jvn.jp. The identification of this vulnerability is CVE-2017-2136 since 12/01/2016. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. 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 15 days. During that time the estimated underground price was around $0-$5k. The commercial vulnerability scanner Qualys is able to test this issue with plugin 11816 (WordPress WP-Statistics Plugin Multiple Cross-Site Scripting Vulnerabilities).

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 97289†). Entry connected to this vulnerability is available at VDB-100698. 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

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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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Qualys ID: 🔍
Qualys Name: 🔍

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

12/01/2016 🔍
03/13/2017 +102 days 🔍
04/13/2017 +31 days 🔍
04/28/2017 +15 days 🔍
04/28/2017 +0 days 🔍
04/28/2017 +0 days 🔍
12/22/2020 +1334 days 🔍

Sourcesinfo

Advisory: jvn.jp
Researcher: Gen Sato
Organization: Mitsui Bussan Secure Directions, Inc.
Status: Not defined

CVE: CVE-2017-2136 (🔍)
GCVE (CVE): GCVE-0-2017-2136
GCVE (VulDB): GCVE-100-100691
SecurityFocus: 97289 - WordPress WP Statistics CVE-2017-2136 HTML Injection Vulnerability
OSVDB: - CVE-2017-2136 - WP Statistics - Cross-Site Scripting Issue

See also: 🔍

Entryinfo

Created: 04/28/2017 23:53
Updated: 12/22/2020 08:06
Changes: 04/28/2017 23:53 (61), 09/22/2020 09:32 (5), 12/22/2020 08:06 (2)
Complete: 🔍
Cache ID: 216::103

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

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