Ezy Helpdesk Ezyhelpdesk 1.0 Search Engine index.php search_string sql injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.6 | $0-$5k | 0.00 |
Summary
A vulnerability identified as critical has been detected in Ezy Helpdesk Ezyhelpdesk 1.0. The affected element is an unknown function of the file index.php of the component Search Engine. Performing a manipulation of the argument search_string results in sql injection. This vulnerability is cataloged as CVE-2005-3826. It is possible to initiate the attack remotely. Furthermore, there is an exploit available.
Details
A vulnerability classified as critical has been found in Ezy Helpdesk Ezyhelpdesk 1.0. This affects some unknown functionality of the file index.php of the component Search Engine. The manipulation of the argument search_string 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:
Multiple SQL injection vulnerabilities in Ezyhelpdesk 1.0 allow remote attackers to execute arbitrary SQL commands via the (1) edit_id, (2) faq_id, and (3) c_id parameters in a query string, and (4) the search engine, possibly involving the search_string parameter.
The weakness was shared 11/23/2005 by r0t (Website). It is possible to read the advisory at vupen.com. This vulnerability is uniquely identified as CVE-2005-3826 since 11/26/2005. 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:index.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 (26571), SecurityFocus (BID 15553†), OSVDB (21075†) and Secunia (SA17696†). The entry VDB-83200 is related to this item. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
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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Exploit-DB: 🔍
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
11/23/2005 🔍11/23/2005 🔍
11/23/2005 🔍
11/23/2005 🔍
11/25/2005 🔍
11/26/2005 🔍
03/11/2015 🔍
07/03/2025 🔍
Sources
Advisory: vupen.com⛔Researcher: r0t
Status: Not defined
CVE: CVE-2005-3826 (🔍)
GCVE (CVE): GCVE-0-2005-3826
GCVE (VulDB): GCVE-100-27099
SecurityFocus: 15553 - Ezyhelpdesk Multiple SQL Injection Vulnerabilities
Secunia: 17696 - Ezyhelpdesk Multiple SQL Injection Vulnerabilities, Less Critical
OSVDB: 21075 - Ezyhelpdesk index.php Multiple Parameter SQL Injection
Vupen: ADV-2005-2560
scip Labs: https://www.scip.ch/en/?labs.20161013
See also: 🔍
Entry
Created: 03/11/2015 23:39Updated: 07/03/2025 19:35
Changes: 03/11/2015 23:39 (54), 07/13/2018 08:27 (8), 07/03/2025 19:35 (24)
Complete: 🔍
Cache ID: 216:6FA:103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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