Joomla CMS com_filecabinet ID sql injection

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 (≈)
Our analysts are monitoring exploit markets and are in contact with vulnerability brokers. The range indicates the observed or calculated exploit price to be seen on exploit markets. A good indicator to understand the monetary effort required for and the popularity of an attack.
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.
6.1$5k-$25k0.00

Summaryinfo

A vulnerability identified as critical has been detected in Joomla CMS. This issue affects some unknown processing of the component com_filecabinet. Performing a manipulation of the argument ID results in sql injection. The attack is possible to be carried out remotely. No exploit exists.

Detailsinfo

A vulnerability was found in Joomla CMS (Content Management System) (affected version not known). It has been classified as critical. This affects some unknown functionality of the component com_filecabinet. The manipulation of the argument id with an unknown input leads to a sql injection vulnerability. CWE is classifying the issue as 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. This is going to have an impact on confidentiality, integrity, and availability.

The weakness was disclosed 03/01/2017 by Amir as Joomla com_filecabinet Component - 'id' Parameter Sql Injection Vulnerability as not defined mailinglist post (Bugtraq). It is possible to read the advisory at seclists.org. It is possible to initiate the attack remotely. Technical details of the vulnerability are known, but there is no available exploit. The pricing for an exploit might be around USD $5k-$25k at the moment (estimation calculated on 05/31/2020). The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

The entries VDB-97829, VDB-97828, VDB-97826 and VDB-97825 are pretty similar. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

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CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.3
VulDB Meta Temp Score: 6.1

VulDB Base Score: 6.3
VulDB Temp Score: 6.1
VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv2info

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

Exploitinginfo

Class: Sql injection
CWE: CWE-89 / CWE-74 / CWE-707
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined
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

03/01/2017 🔍
03/11/2017 +10 days 🔍
05/31/2020 +1177 days 🔍

Sourcesinfo

Vendor: joomla.org

Advisory: Joomla com_filecabinet Component - 'id' Parameter Sql Injection Vulnerability
Researcher: Amir
Status: Not defined

GCVE (VulDB): GCVE-100-97827
See also: 🔍

Entryinfo

Created: 03/11/2017 08:11
Updated: 05/31/2020 14:10
Changes: 03/11/2017 08:11 (40), 05/31/2020 14:10 (2)
Complete: 🔍
Cache ID: 216::103

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

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