Aj Square AJ Article 1.0 featured_article.php artid 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 classified as critical has been found in Aj Square AJ Article 1.0. This affects an unknown function of the file featured_article.php. This manipulation of the argument artid causes sql injection. This vulnerability appears as CVE-2008-5213. The attack may be initiated remotely. In addition, an exploit is available.

Detailsinfo

A vulnerability classified as critical was found in Aj Square AJ Article 1.0. Affected by this vulnerability is some unknown processing of the file featured_article.php. The manipulation of the argument artid with an unknown input leads to a sql injection vulnerability. The CWE definition for the vulnerability is 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. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

SQL injection vulnerability in featured_article.php in AJ Article 1.0 allows remote attackers to execute arbitrary SQL commands via the artid parameter in a search detail action.

The weakness was presented 11/24/2008 (Website). It is possible to read the advisory at milw0rm.com. This vulnerability is known as CVE-2008-5213 since 11/24/2008. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Technical details and also a public exploit are known. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.

It is possible to download the exploit at exploit-db.com. It is declared as highly functional. By approaching the search of inurl:featured_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 (42329), Exploit-DB (5590), SecurityFocus (BID 29149†) and Secunia (SA30215†). 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: 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

05/12/2008 🔍
05/15/2008 +3 days 🔍
11/24/2008 +193 days 🔍
11/24/2008 +0 days 🔍
11/24/2008 +0 days 🔍
03/17/2015 +2304 days 🔍
10/21/2024 +3506 days 🔍

Sourcesinfo

Advisory: milw0rm.com⛔
Status: Not defined

CVE: CVE-2008-5213 (🔍)
GCVE (CVE): GCVE-0-2008-5213
GCVE (VulDB): GCVE-100-45163
X-Force: 42329 - AJ Article featured_article.php SQL injection
SecurityFocus: 29149 - AJ Article 'featured_article.php' SQL Injection Vulnerability
Secunia: 30215 - AJ Article Multiple Vulnerabilities, Moderately Critical

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

Entryinfo

Created: 03/17/2015 16:11
Updated: 10/21/2024 19:49
Changes: 03/17/2015 16:11 (51), 12/05/2017 08:13 (11), 10/21/2024 19:49 (17)
Complete: 🔍
Cache ID: 216::103

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

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