Mini-Nuke 2.3 enter.asp gguvenlik information disclosure

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 (≈)
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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.
5.3$0-$5k0.00

Summaryinfo

A vulnerability was found in Mini-Nuke 2.3. It has been classified as problematic. The affected element is an unknown function of the file enter.asp. This manipulation of the argument gguvenlik causes information disclosure. This vulnerability appears as CVE-2006-2734. There is no available exploit.

Detailsinfo

A vulnerability was found in Mini-Nuke 2.3. It has been declared as problematic. Affected by this vulnerability is an unknown code block of the file enter.asp. The manipulation of the argument gguvenlik with an unknown input leads to a information disclosure vulnerability. The CWE definition for the vulnerability is CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. As an impact it is known to affect confidentiality. The summary by CVE is:

enter.asp in Mini-Nuke 2.3 and earlier makes it easier for remote attackers to conduct password guessing attacks by setting the guvenlik parameter to the same value as the hidden gguvenlik parameter, which bypasses a verification step because the gguvenlik parameter is assumed to be immutable by the attacker.

The weakness was presented 06/01/2006 as not defined posting (Bugtraq). The advisory is shared at securityfocus.com. This vulnerability is known as CVE-2006-2734 since 06/01/2006. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Technical details are known, but no exploit is available. MITRE ATT&CK project uses the attack technique T1592 for this issue.

By approaching the search of inurl:enter.asp 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.

See VDB-30552 for similar entry. Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Productinfo

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.3
VulDB Meta Temp Score: 5.3

VulDB Base Score: 5.3
VulDB Temp Score: 5.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv2info

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

NVD Base Score: 🔍

Exploitinginfo

Class: Information disclosure
CWE: CWE-200 / CWE-284 / CWE-266
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined
Google Hack: 🔍

EPSS Score: 🔍
EPSS Percentile: 🔍

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

06/01/2006 🔍
06/01/2006 +0 days 🔍
06/01/2006 +0 days 🔍
03/12/2015 +3206 days 🔍
07/28/2018 +1234 days 🔍

Sourcesinfo

Advisory: securityfocus.com⛔
Status: Not defined

CVE: CVE-2006-2734 (🔍)
GCVE (CVE): GCVE-0-2006-2734
GCVE (VulDB): GCVE-100-30553
See also: 🔍

Entryinfo

Created: 03/12/2015 12:19
Updated: 07/28/2018 08:24
Changes: 03/12/2015 12:19 (46), 07/28/2018 08:24 (1)
Complete: 🔍
Cache ID: 216::103

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

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