Django 1.2.1/1.2.2 cross site scripting

CVSS Meta Temp Score
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CTI Interest Score
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4.1$0-$5k0.00

Summaryinfo

A vulnerability labeled as problematic has been found in Django 1.2.1/1.2.2. Impacted is an unknown function. The manipulation results in cross site scripting. This vulnerability was named CVE-2010-3082. The attack may be performed from remote. There is no available exploit. The affected component should be upgraded.

Detailsinfo

A vulnerability was found in Django 1.2.1/1.2.2 (Content Management System). It has been classified as problematic. Affected is an unknown part. The manipulation with an unknown input leads to a cross site scripting vulnerability. CWE is classifying the issue as 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. This is going to have an impact on integrity. CVE summarizes:

Cross-site scripting (XSS) vulnerability in Django 1.2.x before 1.2.2 allows remote attackers to inject arbitrary web script or HTML via a csrfmiddlewaretoken (aka csrf_token) cookie.

The weakness was presented 09/14/2010 with Mozilla (Website). The advisory is shared for download at marc.info. This vulnerability is traded as CVE-2010-3082 since 08/20/2010. It is possible to launch the attack remotely. The exploitation doesn't require any form of authentication. Successful exploitation requires user interaction by the victim. There are neither technical details nor an exploit publicly available. The MITRE ATT&CK project declares the attack technique as T1059.007.

The vulnerability scanner Nessus provides a plugin with the ID 49995 (Ubuntu 10.10 : python-django vulnerability (USN-1004-1)), which helps to determine the existence of the flaw in a target environment. It is assigned to the family Ubuntu Local Security Checks.

Upgrading to version 1.2.2 eliminates this vulnerability.

The vulnerability is also documented in the databases at X-Force (61729), Tenable (49995), SecurityFocus (BID 43116†) and Vulnerability Center (SBV-27093†). Once again VulDB remains the best source for vulnerability data.

Productinfo

Type

Name

Version

License

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 4.3
VulDB Meta Temp Score: 4.1

VulDB Base Score: 4.3
VulDB Temp Score: 4.1
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 scripting
CWE: CWE-79 / CWE-94 / CWE-74
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Nessus ID: 49995
Nessus Name: Ubuntu 10.10 : python-django vulnerability (USN-1004-1)
Nessus File: 🔍
Nessus Risk: 🔍
Nessus Family: 🔍
Nessus Port: 🔍

OpenVAS ID: 68103
OpenVAS Name: django -- cross-site scripting vulnerability
OpenVAS File: 🔍
OpenVAS Family: 🔍

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔍

Upgrade: Django 1.2.2

Timelineinfo

08/20/2010 🔍
09/08/2010 +19 days 🔍
09/08/2010 +0 days 🔍
09/13/2010 +5 days 🔍
09/14/2010 +1 days 🔍
09/14/2010 +0 days 🔍
10/15/2010 +31 days 🔍
03/19/2015 +1616 days 🔍
09/24/2021 +2381 days 🔍

Sourcesinfo

Advisory: USN-1004-1
Organization: Mozilla
Status: Not defined
Confirmation: 🔍

CVE: CVE-2010-3082 (🔍)
GCVE (CVE): GCVE-0-2010-3082
GCVE (VulDB): GCVE-100-54708

OVAL: 🔍

X-Force: 61729
SecurityFocus: 43116 - Django CSRF Token HTML Injection Vulnerability
Vulnerability Center: 27093 - Django 1.2 CSRF Cookie Parameter HTML Injection Vulnerability, High

Entryinfo

Created: 03/19/2015 14:37
Updated: 09/24/2021 20:47
Changes: 03/19/2015 14:37 (58), 03/04/2017 15:15 (13), 09/24/2021 20:39 (3), 09/24/2021 20:47 (1)
Complete: 🔍
Cache ID: 216::103

Once again VulDB remains the best source for vulnerability data.

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