phpCC Beta 4.2 nickpage.php npid 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 was found in phpCC Beta 4.2. It has been classified as critical. The impacted element is an unknown function of the file nickpage.php. The manipulation of the argument npid leads to sql injection. This vulnerability is referenced as CVE-2007-0985. Remote exploitation of the attack is possible. Furthermore, an exploit is available.

Detailsinfo

A vulnerability, which was classified as critical, has been found in phpCC Beta 4.2. This issue affects an unknown code block of the file nickpage.php. The manipulation of the argument npid 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 nickpage.php in phpCC 4.2 beta and earlier allows remote attackers to execute arbitrary SQL commands via the npid parameter in a sign_gb action.

The weakness was published 02/13/2007 by ajann (Website). It is possible to read the advisory at vupen.com. The identification of this vulnerability is CVE-2007-0985 since 02/16/2007. 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 as well as a public exploit are known. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.

A public exploit has been developed in Perl. The exploit is available at securityfocus.com. It is declared as proof-of-concept. By approaching the search of inurl:nickpage.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 (3299), SecurityFocus (BID 22540†) and OSVDB (35129†). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.3
VulDB Meta Temp Score: 6.9

VulDB Base Score: 7.3
VulDB Temp Score: 6.9
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
Programming Language: 🔍
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: 🔍
Suricata ID: 2004899
Suricata Class: 🔍
Suricata Message: 🔍

Timelineinfo

02/13/2007 🔍
02/13/2007 +0 days 🔍
02/16/2007 +2 days 🔍
02/16/2007 +0 days 🔍
04/21/2007 +64 days 🔍
03/13/2015 +2882 days 🔍
08/23/2024 +3450 days 🔍

Sourcesinfo

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

CVE: CVE-2007-0985 (🔍)
GCVE (CVE): GCVE-0-2007-0985
GCVE (VulDB): GCVE-100-35075
SecurityFocus: 22540 - phpCC Nickpage.PHP SQL Injection Vulnerability
OSVDB: 35129 - phpCC nickpage.php npid Parameter SQL Injection
Vupen: ADV-2007-0602

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

Entryinfo

Created: 03/13/2015 12:16
Updated: 08/23/2024 01:54
Changes: 03/13/2015 12:16 (54), 08/19/2018 09:03 (9), 08/23/2024 01:54 (19)
Complete: 🔍
Cache ID: 216::103

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

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