JiRo Banner System 2.0 files/login_confirm.asp 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, which was classified as critical, has been found in JiRo Banner System 2.0. Impacted is an unknown function of the file files/login_confirm.asp. The manipulation leads to sql injection. This vulnerability is listed as CVE-2007-6091. The attack may be initiated remotely. In addition, an exploit is available.

Detailsinfo

A vulnerability was found in JiRo Banner System 2.0 and classified as critical. This issue affects an unknown functionality of the file files/login_confirm.asp. The manipulation 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:

Multiple SQL injection vulnerabilities in files/login.asp in JiRo s Banner System (JBS) 2.0, and possibly JiRo s Upload Manager (aka JiRo s Upload System or JUS), allow remote attackers to execute arbitrary SQL commands via the (1) Username (aka Login or Email) or (2) Password field.

The weakness was presented 11/20/2007 (Website). It is possible to read the advisory at securityfocus.com. The identification of this vulnerability is CVE-2007-6091 since 11/21/2007. 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.

The exploit is available at exploit-db.com. It is declared as proof-of-concept. By approaching the search of inurl:files/login_confirm.asp 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 (30775), SecurityFocus (BID 26479†), OSVDB (38740†) and Secunia (SA27713†). See VDB-86107 for similar entry. 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: 6.9

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
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

11/17/2007 🔍
11/19/2007 +2 days 🔍
11/20/2007 +0 days 🔍
11/20/2007 +0 days 🔍
11/21/2007 +1 days 🔍
11/21/2007 +0 days 🔍
03/16/2015 +2672 days 🔍
09/04/2024 +3460 days 🔍

Sourcesinfo

Advisory: securityfocus.com⛔
Status: Not defined

CVE: CVE-2007-6091 (🔍)
GCVE (CVE): GCVE-0-2007-6091
GCVE (VulDB): GCVE-100-39803
SecurityFocus: 26479 - JiRo's Banner System Login.ASP Multiple SQL Injection Vulnerabilities
Secunia: 27713 - JiRo's Banner System "Email"/"Password" SQL Injection, Moderately Critical
OSVDB: 38740 - JiRos Banner System files/login_confirm.asp Multiple Parameter SQL Injection

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

Entryinfo

Created: 03/16/2015 13:43
Updated: 09/04/2024 15:47
Changes: 03/16/2015 13:43 (46), 09/02/2017 10:28 (12), 09/04/2024 15:47 (25)
Complete: 🔍
Cache ID: 216::103

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

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