Hpecs Shopping Cart insearch_list.asp searchstring sql injection

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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7.1$0-$5k0.00

Summaryinfo

A vulnerability has been found in Hpecs Shopping Cart and classified as critical. This issue affects some unknown processing of the file insearch_list.asp. The manipulation of the argument searchstring leads to sql injection. This vulnerability is listed as CVE-2006-5962. The attack may be initiated remotely. In addition, an exploit is available.

Detailsinfo

A vulnerability was found in Hpecs Shopping Cart (the affected version unknown) and classified as critical. This issue affects an unknown part of the file insearch_list.asp. The manipulation of the argument searchstring 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:

Multiple SQL injection vulnerabilities in Hpecs Shopping Cart allow remote attackers to execute arbitrary SQL commands via the (1) Username and (2) Password fields in the (a) login screen, and (3) searchstring parameter in (b) insearch_list.asp.

The weakness was presented 11/16/2006 (Website). It is possible to read the advisory at securityfocus.com. The identification of this vulnerability is CVE-2006-5962 since 11/16/2006. The exploitation is known to be easy. 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. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.

The exploit is available at exploit-db.com. It is declared as highly functional. By approaching the search of inurl:insearch_list.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.

The vulnerability is also documented in the databases at X-Force (30288), Exploit-DB (2782) and Secunia (SA22904†). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Name

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.3
VulDB Meta Temp Score: 7.1

VulDB Base Score: 7.3
VulDB Temp Score: 7.1
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: Highly functional
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

11/16/2006 🔍
11/16/2006 +0 days 🔍
11/16/2006 +0 days 🔍
11/16/2006 +0 days 🔍
03/12/2015 +3038 days 🔍
04/27/2026 +4064 days 🔍

Sourcesinfo

Advisory: securityfocus.com⛔
Status: Not defined

CVE: CVE-2006-5962 (🔍)
GCVE (CVE): GCVE-0-2006-5962
GCVE (VulDB): GCVE-100-33323
X-Force: 30288 - High Performance Computers/Solutions (hpecs) search_list.asp SQL injection
Secunia: 22904 - Hpecs Shopping Cart Multiple SQL Injection Vulnerabilities, Moderately Critical
Vupen: ADV-2006-4535

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

Entryinfo

Created: 03/12/2015 22:21
Updated: 04/27/2026 20:44
Changes: 03/12/2015 22:21 (46), 10/01/2017 20:50 (7), 08/08/2024 01:55 (19), 10/09/2024 08:42 (3), 04/27/2026 20:44 (1)
Complete: 🔍
Cache ID: 216::103

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

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