Getpixie Pixie CMS 1.01a admin/lib/lib_logs.php referral sql injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.6 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Getpixie Pixie CMS 1.01a. It has been rated as critical. This affects the function referral in the library admin/lib/lib_logs.php. This manipulation causes sql injection.
This vulnerability is handled as CVE-2009-1066. The attack can be initiated remotely. Additionally, an exploit exists.
Details
A vulnerability classified as critical was found in Getpixie Pixie CMS 1.01a (Content Management System). Affected by this vulnerability is the function referral in the library admin/lib/lib_logs.php. The manipulation 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:
SQL injection vulnerability in the referral function in admin/lib/lib_logs.php in Pixie CMS 1.01a allows remote attackers to execute arbitrary SQL commands via the Referer HTTP header in a request.
The weakness was released 03/19/2009 by Justin C. Klein Keane (Website). The advisory is shared at archives.neohapsis.com. This vulnerability is known as CVE-2009-1066 since 03/24/2009. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Technical details and also a public exploit are known. MITRE ATT&CK project uses the attack technique T1505 for this issue.
After immediately, there has been an exploit disclosed. It is declared as proof-of-concept. By approaching the search of inurl:admin/lib/lib_logs.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 databases at X-Force (49335), SecurityFocus (BID 34189†), OSVDB (52833†) and Secunia (SA34364†). Entries connected to this vulnerability are available at VDB-47342 and VDB-47340. If you want to get the best quality for vulnerability data then you always have to consider VulDB.
Product
Type
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.3VulDB Meta Temp Score: 6.6
VulDB Base Score: 7.3
VulDB Temp Score: 6.6
VulDB Vector: 🔍
VulDB Reliability: 🔍
CVSSv2
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VulDB Base Score: 🔍
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Exploiting
Class: Sql injectionCWE: 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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OpenVAS ID: 100066
OpenVAS Name: Pixie CMS SQL Injection and Cross Site Scripting Vulnerabilities
OpenVAS File: 🔍
OpenVAS Family: 🔍
Exploit-DB: 🔍
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Exploit Delay Time: 🔍
Timeline
03/19/2009 🔍03/19/2009 🔍
03/20/2009 🔍
03/20/2009 🔍
03/24/2009 🔍
03/26/2009 🔍
03/17/2015 🔍
11/25/2024 🔍
Sources
Advisory: archives.neohapsis.comResearcher: Justin C. Klein Keane
Status: Not defined
CVE: CVE-2009-1066 (🔍)
GCVE (CVE): GCVE-0-2009-1066
GCVE (VulDB): GCVE-100-47341
X-Force: 49335
SecurityFocus: 34189 - Pixie CMS SQL Injection and Cross Site Scripting Vulnerabilities
Secunia: 34364
OSVDB: 52833 - Pixie CMS admin/lib/lib_logs.php Referer HTTP Header SQL Injection
scip Labs: https://www.scip.ch/en/?labs.20161013
See also: 🔍
Entry
Created: 03/17/2015 23:38Updated: 11/25/2024 00:28
Changes: 03/17/2015 23:38 (59), 08/22/2017 11:31 (6), 08/09/2021 09:44 (3), 11/25/2024 00:28 (20)
Complete: 🔍
Cache ID: 216::103
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
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