Apache Archiva up to 1.3.9 addProxyConnector_commit.action connectorsourceRepoId cross site scripting

CVSS Meta Temp Score
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CTI Interest Score
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3.2$0-$5k0.00

Summaryinfo

A vulnerability, which was classified as problematic, has been found in Apache Archiva up to 1.3.9. This impacts an unknown function of the file admin/addProxyConnector_commit.action. This manipulation of the argument connectorsourceRepoId causes cross site scripting. This vulnerability is registered as CVE-2016-5005. Remote exploitation of the attack is possible. Furthermore, an exploit is available. It is advisable to upgrade the affected component.

Detailsinfo

A vulnerability was found in Apache Archiva up to 1.3.9. It has been declared as problematic. Affected by this vulnerability is an unknown functionality of the file admin/addProxyConnector_commit.action. The manipulation of the argument connectorsourceRepoId with an unknown input leads to a cross site scripting vulnerability. The CWE definition for the vulnerability is CWE-79. The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users. As an impact it is known to affect integrity. The summary by CVE is:

Cross-site scripting (XSS) vulnerability in Apache Archiva 1.3.9 and earlier allows remote authenticated administrators to inject arbitrary web script or HTML via the connector.sourceRepoId parameter to admin/addProxyConnector_commit.action.

The weakness was published 07/28/2016 (Website). The advisory is shared at archiva.apache.org. This vulnerability is known as CVE-2016-5005. The exploitation appears to be easy. The attack can be launched remotely. The successful exploitation needs a single authentication. It demands that the victim is doing some kind of user interaction. Technical details and also a public exploit are known. MITRE ATT&CK project uses the attack technique T1059.007 for this issue.

It is possible to download the exploit at packetstormsecurity.com. It is declared as proof-of-concept.

Upgrading to version 2.2.1 eliminates this vulnerability.

The vulnerability is also documented in the vulnerability database at SecurityTracker (ID 1036475†). Similar entry is available at VDB-90384. Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Productinfo

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Version

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 3.5
VulDB Meta Temp Score: 3.2

VulDB Base Score: 3.5
VulDB Temp Score: 3.2
VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv2info

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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

NVD Base Score: 🔍

Exploitinginfo

Class: Cross site scripting
CWE: CWE-79 / CWE-94 / CWE-74
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Access: Public
Status: Proof-of-Concept
Download: 🔍

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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OpenVAS ID: 863044
OpenVAS Name: Apache Archiva Cross Site Scripting And CSRF Vulnerabilities
OpenVAS File: 🔍
OpenVAS Family: 🔍

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔍

Upgrade: Archiva 2.2.1

Timelineinfo

05/24/2016 🔍
07/28/2016 +65 days 🔍
07/28/2016 +0 days 🔍
07/29/2016 +1 days 🔍
07/29/2016 +0 days 🔍
07/01/2024 +2893 days 🔍

Sourcesinfo

Vendor: apache.org

Advisory: 137870
Status: Confirmed

CVE: CVE-2016-5005 (🔍)
GCVE (CVE): GCVE-0-2016-5005
GCVE (VulDB): GCVE-100-90385
SecurityFocus: 91707
SecurityTracker: 1036475 - Apache Archiva Input Validation Flaws Let Remote Users Conduct Cross-Site Request Forgery and Cross-Site Scripting Attacks

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

Entryinfo

Created: 07/29/2016 10:25
Updated: 07/01/2024 01:50
Changes: 07/29/2016 10:25 (42), 05/17/2018 23:26 (16), 09/09/2022 15:06 (4), 07/01/2024 01:50 (23)
Complete: 🔍
Cache ID: 216::103

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

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