Limny 2.0 index.php cross-site request forgery

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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5.7$0-$5k0.00

Summaryinfo

A vulnerability marked as problematic has been reported in Limny 2.0. This issue affects some unknown processing of the file index.php. This manipulation causes cross-site request forgery. The identification of this vulnerability is CVE-2010-0709. It is possible to initiate the attack remotely. Furthermore, there is an exploit available.

Detailsinfo

A vulnerability has been found in Limny 2.0 and classified as critical. Affected by this vulnerability is an unknown code of the file index.php. The manipulation with an unknown input leads to a cross-site request forgery vulnerability. The CWE definition for the vulnerability is CWE-352. The web application does not, or can not, sufficiently verify whether a well-formed, valid, consistent request was intentionally provided by the user who submitted the request. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

Multiple cross-site request forgery (CSRF) vulnerabilities in Limny 2.0 allow remote attackers to (1) hijack the authentication of users or administrators for requests that change the email address or password via the user action to index.php, and (2) hijack the authentication of the administrator for requests that create a new user via the admin/modules/user/new action to limny/index.php.

The weakness was shared 02/17/2010 (Website). It is possible to read the advisory at limny.org. This vulnerability is known as CVE-2010-0709 since 02/25/2010. The attack can be launched remotely. The exploitation doesn't need any form of authentication. It demands that the victim is doing some kind of user interaction. Technical details and also a public exploit are known.

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 X-Force (56318), Exploit-DB (11477), OSVDB (62389†) and Secunia (SA38616†). 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: 6.3
VulDB Meta Temp Score: 5.7

VulDB Base Score: 6.3
VulDB Temp Score: 5.7
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: Cross-site request forgery
CWE: CWE-352 / CWE-862 / CWE-863
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: 800296
OpenVAS Name: Limny Multiple Cross-site Request Forgery (CSRF) Vulnerabilities
OpenVAS File: 🔍
OpenVAS Family: 🔍

Exploit-DB: 🔍

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

02/17/2010 🔍
02/17/2010 +0 days 🔍
02/17/2010 +0 days 🔍
02/25/2010 +7 days 🔍
02/25/2010 +0 days 🔍
03/18/2015 +1847 days 🔍
05/01/2026 +4062 days 🔍

Sourcesinfo

Advisory: limny.org
Status: Not defined
Confirmation: 🔍

CVE: CVE-2010-0709 (🔍)
GCVE (CVE): GCVE-0-2010-0709
GCVE (VulDB): GCVE-100-51979
X-Force: 56318
Secunia: 38616 - Limny Cross-Site Request Forgery Vulnerability, Less Critical
OSVDB: 62389 - Limny Admin Password Manipulation CSRF

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

Entryinfo

Created: 03/18/2015 15:15
Updated: 05/01/2026 07:33
Changes: 03/18/2015 15:15 (57), 01/27/2019 16:53 (5), 09/18/2025 23:08 (20), 05/01/2026 07:33 (2)
Complete: 🔍
Cache ID: 216::103

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

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