Pineapple Technologies Lore 1.5.4 article.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 identified as critical has been detected in Pineapple Technologies Lore 1.5.4. This impacts an unknown function of the file article.php. Performing a manipulation of the argument ID results in sql injection. This vulnerability is reported as CVE-2005-3988. The attack is possible to be carried out remotely. Moreover, an exploit is present.

Detailsinfo

A vulnerability was found in Pineapple Technologies Lore 1.5.4. It has been classified as critical. This affects some unknown functionality of the file article.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 article.php in Pineapple Technologies Lore 1.5.4 allows remote attackers to execute arbitrary SQL commands via the id parameter.

The weakness was disclosed 12/01/2005 by r0t (Website). It is possible to read the advisory at vupen.com. This vulnerability is uniquely identified as CVE-2005-3988 since 12/04/2005. 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: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 Exploit-DB (26688), SecurityFocus (BID 15665†), OSVDB (21328†) and Secunia (SA17842†). 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

12/01/2005 🔍
12/01/2005 +0 days 🔍
12/01/2005 +0 days 🔍
12/01/2005 +0 days 🔍
12/04/2005 +2 days 🔍
12/04/2005 +0 days 🔍
03/11/2015 +3384 days 🔍
08/12/2025 +3807 days 🔍

Sourcesinfo

Advisory: vupen.com⛔
Researcher: r0t
Status: Not defined

CVE: CVE-2005-3988 (🔍)
GCVE (CVE): GCVE-0-2005-3988
GCVE (VulDB): GCVE-100-27267
SecurityFocus: 15665
Secunia: 17842 - Lore "id" SQL Injection Vulnerability, Moderately Critical
OSVDB: 21328 - Lore article.php id Parameter SQL Injection
Vupen: ADV-2005-2682

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

Entryinfo

Created: 03/11/2015 23:39
Updated: 08/12/2025 14:20
Changes: 03/11/2015 23:39 (53), 07/14/2018 10:12 (8), 08/12/2025 14:20 (22)
Complete: 🔍
Cache ID: 216:CF4:103

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

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