Savas Place Savas Guestbook 2006-11-23 add2.php 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 was found in Savas Place Savas Guestbook 2006-11-23. It has been classified as critical. This vulnerability affects unknown code of the file add2.php. This manipulation causes sql injection. This vulnerability is tracked as CVE-2007-1304. The attack is possible to be carried out remotely. Moreover, an exploit is present.

Detailsinfo

A vulnerability was found in Savas Place Savas Guestbook 2006-11-23. It has been declared as critical. Affected by this vulnerability is an unknown code block of the file add2.php. The manipulation 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:

Multiple SQL injection vulnerabilities in add2.php in Sava s Guestbook 23.11.2006, when magic_quotes_gpc is disabled, allow remote attackers to execute arbitrary SQL commands via the (1) name, (2) country, (3) email, (4) website, and (5) message parameters.

The weakness was disclosed 03/06/2007 as not defined posting (Bugtraq). It is possible to read the advisory at securityfocus.com. This vulnerability is known as CVE-2007-1304 since 03/06/2007. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Technical details and also a exploit are known. 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:add2.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 (32811), SecurityFocus (BID 22820†) and Secunia (SA24411†). The entry VDB-35468 is pretty similar. 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: 🔍
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: 🔍
Suricata ID: 2004493
Suricata Class: 🔍
Suricata Message: 🔍

Timelineinfo

03/05/2007 🔍
03/06/2007 +1 days 🔍
03/06/2007 +0 days 🔍
03/06/2007 +0 days 🔍
03/06/2007 +0 days 🔍
03/13/2015 +2929 days 🔍
04/12/2019 +1491 days 🔍

Sourcesinfo

Advisory: securityfocus.com
Status: Not defined

CVE: CVE-2007-1304 (🔍)
GCVE (CVE): GCVE-0-2007-1304
GCVE (VulDB): GCVE-100-35467
X-Force: 32811 - Sava Guestbook add2.php SQL injection
SecurityFocus: 22820 - Sava's Guestbook Multiple Input Validation Vulnerabilities
Secunia: 24411 - Sava's GuestBook Script Insertion and SQL Injection, Moderately Critical

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

Entryinfo

Created: 03/13/2015 12:16
Updated: 04/12/2019 08:47
Changes: 03/13/2015 12:16 (56), 04/12/2019 08:47 (7)
Complete: 🔍
Cache ID: 216::103

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

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