Codewidgets Real Estate listing website application template Logging Password sql injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.1 | $0-$5k | 0.00 |
Summary
A vulnerability identified as critical has been detected in Codewidgets Real Estate listing website application template. This affects an unknown part of the component Logging. The manipulation of the argument Password leads to sql injection. This vulnerability is uniquely identified as CVE-2007-4111. The attack is possible to be carried out remotely. Moreover, an exploit is present.
Details
A vulnerability, which was classified as critical, has been found in Codewidgets Real Estate listing website application template (affected version not known). This issue affects some unknown functionality of the component Logging. The manipulation of the argument Password with an unknown input leads to a sql injection vulnerability. Using CWE to declare the problem leads to 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. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
SQL injection vulnerability in the login script in Real Estate listing website application template, when logging in as user or manager, allows remote attackers to execute arbitrary SQL commands via the Password parameter.
The weakness was disclosed 07/31/2007 by Aria-Security Team (Website). The advisory is shared at securityfocus.com. The identification of this vulnerability is CVE-2007-4111 since 07/31/2007. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. Technical details as well as a public exploit are known. MITRE ATT&CK project uses the attack technique T1505 for this issue.
The exploit is available at exploit-db.com. It is declared as highly functional.
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 (35667), Exploit-DB (30428), SecurityFocus (BID 25115†) and Secunia (SA26268†). If you want to get the best quality for vulnerability data then you always have to consider VulDB.
Product
Vendor
Name
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.3VulDB Meta Temp Score: 7.1
VulDB Base Score: 7.3
VulDB Temp Score: 7.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Sql injectionCWE: CWE-89 / CWE-74 / CWE-707
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Access: Public
Status: Highly functional
Download: 🔍
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Exploit-DB: 🔍
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
07/28/2007 🔍07/30/2007 🔍
07/31/2007 🔍
07/31/2007 🔍
07/31/2007 🔍
03/15/2015 🔍
09/27/2024 🔍
Sources
Advisory: securityfocus.com⛔Researcher: Aria-Security Team
Status: Not defined
CVE: CVE-2007-4111 (🔍)
GCVE (CVE): GCVE-0-2007-4111
GCVE (VulDB): GCVE-100-38117
X-Force: 35667 - Real Estate listing website application template logging SQL injection
SecurityFocus: 25115 - Real Estate Listing Website Application Template Login Dialog SQL Injection Vulnerability
Secunia: 26268 - Real Estate listing website application template SQL Injection Vulnerability, Moderately Critical
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 03/15/2015 15:58Updated: 09/27/2024 09:47
Changes: 03/15/2015 15:58 (50), 10/28/2017 10:18 (8), 09/27/2024 09:47 (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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