Article Dashboard article.php ID sql injection

CVSS Meta Temp Score
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CTI Interest Score
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7.1$0-$5k0.00

Summaryinfo

A vulnerability marked as critical has been reported in Article Dashboard. This affects an unknown part of the file article.php. The manipulation of the argument ID leads to sql injection. This vulnerability is referenced as CVE-2007-4332. Remote exploitation of the attack is possible. No exploit is available.

Detailsinfo

A vulnerability, which was classified as critical, has been found in Article Dashboard (Forum Software) (the affected version is unknown). This issue affects an unknown code of the file article.php. The manipulation of the argument id 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 article.php in Article Dashboard, when magic_quotes_gpc is disabled, allows remote attackers to execute arbitrary SQL commands via the id parameter in a print action. NOTE: the provenance of this information is unknown; the details are obtained solely from third party information.

The weakness was published 08/13/2007 by Dino Covotsos (Website). It is possible to read the advisory at secunia.com. The identification of this vulnerability is CVE-2007-4332 since 08/14/2007. 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 of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.

It is declared as highly functional. By approaching the search of inurl:article.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 X-Force (35977), SecurityFocus (BID 25309†), OSVDB (36422†) and Secunia (SA26163†). Similar entry is available at VDB-38316. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

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: 🔍
Status: Highly functional
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

08/13/2007 🔍
08/13/2007 +0 days 🔍
08/13/2007 +0 days 🔍
08/13/2007 +0 days 🔍
08/14/2007 +0 days 🔍
08/14/2007 +0 days 🔍
03/16/2015 +2771 days 🔍
10/30/2017 +959 days 🔍

Sourcesinfo

Advisory: secunia.com⛔
Researcher: Dino Covotsos
Status: Not defined

CVE: CVE-2007-4332 (🔍)
GCVE (CVE): GCVE-0-2007-4332
GCVE (VulDB): GCVE-100-38315
X-Force: 35977 - Article Dashboard article.php SQL injection
SecurityFocus: 25309 - Article Dashboard Multiple Input Validation Vulnerabilities
Secunia: 26163 - Article Dashboard SQL Injection and Cross-Site Scripting, Moderately Critical
OSVDB: 36422 - Article Dashboard article.php print Action id Parameter SQL Injection

See also: 🔍

Entryinfo

Created: 03/16/2015 12:18
Updated: 10/30/2017 07:50
Changes: 03/16/2015 12:18 (54), 10/30/2017 07:50 (8)
Complete: 🔍
Cache ID: 216:669:103

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

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