Mhproducts Ero Auktion 2010 item.php ID sql injection

CVSS Meta Temp Score
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CTI Interest Score
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6.6$0-$5k0.00

Summaryinfo

A vulnerability, which was classified as critical, has been found in Mhproducts Ero Auktion 2010. The affected element is an unknown function of the file item.php. Performing a manipulation of the argument ID results in sql injection. This vulnerability is known as CVE-2010-4614. Remote exploitation of the attack is possible. Furthermore, an exploit is available.

Detailsinfo

A vulnerability, which was classified as critical, was found in Mhproducts Ero Auktion 2010. This affects an unknown functionality of the file item.php. 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 summary by CVE is:

SQL injection vulnerability in item.php in Ero Auktion 2010 allows remote attackers to execute arbitrary SQL commands via the id parameter, a different vector than CVE-2010-0723.

The weakness was published 12/18/2010 (Website). It is possible to read the advisory at exploit-db.com. This vulnerability is uniquely identified as CVE-2010-4614 since 12/29/2010. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Technical details and a public exploit are known. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.

The exploit is shared for download at exploit-db.com. It is declared as proof-of-concept. By approaching the search of inurl:item.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 Exploit-DB (15769), SecurityFocus (BID 45503†), OSVDB (70215†) and Secunia (SA38666†). Similar entry is available at VDB-52002. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.3
VulDB Meta Temp Score: 6.6

VulDB Base Score: 7.3
VulDB Temp Score: 6.6
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: Sql injection
CWE: 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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Exploit-DB: 🔍

Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

02/23/2010 🔍
12/18/2010 +298 days 🔍
12/20/2010 +2 days 🔍
12/29/2010 +9 days 🔍
12/29/2010 +0 days 🔍
12/30/2010 +1 days 🔍
03/19/2015 +1539 days 🔍
05/04/2025 +3699 days 🔍

Sourcesinfo

Advisory: exploit-db.com
Status: Not defined

CVE: CVE-2010-4614 (🔍)
GCVE (CVE): GCVE-0-2010-4614
GCVE (VulDB): GCVE-100-55875
SecurityFocus: 45503 - Ero Auktion 'item.php' SQL Injection Vulnerability
Secunia: 38666 - Ero Auktion "id" SQL Injection Vulnerabilities, Moderately Critical
OSVDB: 70215 - Ero Auktion item.php id Parameter SQL Injection

scip Labs: https://www.scip.ch/en/?labs.20161013
See also: 🔍

Entryinfo

Created: 03/19/2015 23:27
Updated: 05/04/2025 11:05
Changes: 03/19/2015 23:27 (52), 01/08/2018 07:50 (11), 05/04/2025 11:05 (20)
Complete: 🔍
Cache ID: 216::103

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

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