Mail Masta Plugin 1.0 on WordPress /inc/lists/view-list.php filter_list sql injection

CVSS Meta Temp Score
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CTI Interest Score
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6.4$0-$5k0.00

Summaryinfo

A vulnerability marked as critical has been reported in Mail Masta Plugin 1.0 on WordPress. This affects an unknown function of the file /inc/lists/view-list.php. This manipulation of the argument filter_list causes sql injection. This vulnerability is handled as CVE-2017-6096. The attack can be initiated remotely. Additionally, an exploit exists.

Detailsinfo

A vulnerability was found in Mail Masta Plugin 1.0 on WordPress (WordPress Plugin). It has been declared as critical. Affected by this vulnerability is an unknown code of the file /inc/lists/view-list.php. The manipulation of the argument filter_list with an unknown input leads to a sql injection vulnerability. The CWE definition for the vulnerability is 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. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

A SQL injection issue was discovered in the Mail Masta (aka mail-masta) plugin 1.0 for WordPress. This affects /inc/lists/view-list.php (Requires authentication to Wordpress admin) with the GET Parameter: filter_list.

The bug was discovered 02/21/2017. The weakness was released 02/21/2017 (Website). It is possible to read the advisory at github.com. This vulnerability is known as CVE-2017-6096 since 02/18/2017. The attack can be launched remotely. A single authentication is needed for exploitation. Technical details and also a public exploit are known. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.

It is possible to download the exploit at exploit-db.com. It is declared as proof-of-concept. By approaching the search of inurl:inc/lists/view-list.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.

The vulnerability is also documented in the vulnerability database at Exploit-DB (41438). Entries connected to this vulnerability are available at VDB-97170, VDB-97172 and VDB-97173. 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: 6.7
VulDB Meta Temp Score: 6.4

VulDB Base Score: 6.3
VulDB Temp Score: 5.7
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 7.2
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: Sql injection
CWE: CWE-89 / CWE-74 / CWE-707
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Access: Public
Status: Proof-of-Concept
Download: 🔍
Google Hack: 🔍

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Exploit-DB: 🔍

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

02/18/2017 🔍
02/21/2017 +3 days 🔍
02/21/2017 +0 days 🔍
02/21/2017 +0 days 🔍
02/21/2017 +0 days 🔍
11/23/2025 +3197 days 🔍

Sourcesinfo

Advisory: github.com
Status: Not defined

CVE: CVE-2017-6096 (🔍)
GCVE (CVE): GCVE-0-2017-6096
GCVE (VulDB): GCVE-100-97171
OSVDB: - CVE-2017-6096 - Mail Masta - SQL Injection Issue

scip Labs: https://www.scip.ch/en/?labs.20161013
See also: 🔍

Entryinfo

Created: 02/21/2017 16:54
Updated: 11/23/2025 03:34
Changes: 02/21/2017 16:54 (59), 08/16/2020 10:33 (5), 11/23/2025 03:34 (18)
Complete: 🔍
Cache ID: 216::103

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

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