Alexandre Dubus AudiStat 1.3 index.php mday 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 Alexandre Dubus AudiStat 1.3. This affects an unknown function of the file index.php. This manipulation of the argument mday causes sql injection. This vulnerability is handled as CVE-2010-1050. The attack can be initiated remotely. Additionally, an exploit exists.

Detailsinfo

A vulnerability classified as critical was found in Alexandre Dubus AudiStat 1.3. Affected by this vulnerability is an unknown functionality of the file index.php. The manipulation of the argument mday 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:

SQL injection vulnerability in index.php in AudiStat 1.3 allows remote attackers to execute arbitrary SQL commands via the mday parameter.

The weakness was released 02/05/2010 (Website). It is possible to read the advisory at exploit-db.com. This vulnerability is known as CVE-2010-1050 since 03/22/2010. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Technical details and also a public exploit are known. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.

After immediately, there has been an exploit disclosed. It is possible to download the exploit at exploit-db.com. It is declared as proof-of-concept. By approaching the search of inurl:index.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 (11334), OSVDB (62170†) and Secunia (SA38494†). Entries connected to this vulnerability are available at VDB-52293 and VDB-52292. 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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OpenVAS ID: 902029
OpenVAS Name: AudiStat multiple vulnerabilities
OpenVAS File: 🔍
OpenVAS Family: 🔍

Exploit-DB: 🔍

Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍
Exploit Delay Time: 🔍

Timelineinfo

02/05/2010 🔍
02/05/2010 +0 days 🔍
02/08/2010 +3 days 🔍
02/08/2010 +0 days 🔍
03/22/2010 +41 days 🔍
03/22/2010 +0 days 🔍
03/19/2015 +1823 days 🔍
05/03/2026 +4062 days 🔍

Sourcesinfo

Advisory: exploit-db.com
Status: Not defined

CVE: CVE-2010-1050 (🔍)
GCVE (CVE): GCVE-0-2010-1050
GCVE (VulDB): GCVE-100-52291
Secunia: 38494 - AudiStat Cross-Site Scripting and SQL Injection Vulnerabilities, Moderately Critical
OSVDB: 62170 - AudiStat index.php Multiple Parameter SQL Injection

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

Entryinfo

Created: 03/19/2015 12:22
Updated: 05/03/2026 00:18
Changes: 03/19/2015 12:22 (61), 01/28/2019 09:58 (3), 01/24/2025 12:55 (20), 05/03/2026 00:18 (2)
Complete: 🔍
Cache ID: 216::103

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

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