Frontisgroup Frontis 3.9.01.24 source_class sql injection

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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6.9$0-$5k0.00

Summaryinfo

A vulnerability, which was classified as critical, has been found in Frontisgroup Frontis 3.9.01.24. The affected element is an unknown function. Performing a manipulation of the argument source_class results in sql injection. This vulnerability was named CVE-2009-2013. The attack may be initiated remotely. In addition, an exploit is available.

Detailsinfo

A vulnerability classified as critical has been found in Frontisgroup Frontis 3.9.01.24. This affects an unknown functionality. The manipulation of the argument source_class 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 bin/aps_browse_sources.php in Frontis 3.9.01.24 allows remote attackers to execute arbitrary SQL commands via the source_class parameter in a browse_classes action.

The weakness was presented 06/09/2009 (Website). It is possible to read the advisory at vupen.com. This vulnerability is uniquely identified as CVE-2009-2013 since 06/09/2009. 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.

A public exploit has been developed by snakespc and been published before and not just after the advisory. The exploit is shared for download at exploit-db.com. It is declared as proof-of-concept. The vulnerability was handled as a non-public zero-day exploit for at least 1 days. During that time the estimated underground price was around $0-$5k.

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 (8900) and Secunia (SA35369†). 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
Author: snakespc
Download: 🔍

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

06/08/2009 🔍
06/08/2009 +0 days 🔍
06/09/2009 +1 days 🔍
06/09/2009 +0 days 🔍
06/09/2009 +0 days 🔍
06/09/2009 +0 days 🔍
03/17/2015 +2107 days 🔍
12/01/2024 +3547 days 🔍

Sourcesinfo

Advisory: vupen.com⛔
Status: Confirmed

CVE: CVE-2009-2013 (🔍)
GCVE (CVE): GCVE-0-2009-2013
GCVE (VulDB): GCVE-100-48483
Secunia: 35369 - Frontis "source_class" SQL Injection Vulnerability, Moderately Critical
Vupen: ADV-2009-1531

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

Entryinfo

Created: 03/17/2015 23:38
Updated: 12/01/2024 03:27
Changes: 03/17/2015 23:38 (51), 11/10/2018 09:20 (8), 12/01/2024 03:27 (17)
Complete: 🔍
Cache ID: 216:FA7:103

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

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