jQuery up to 3.4.x html cross site scripting

CVSS Meta Temp Score
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CTI Interest Score
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5.7$0-$5k0.00

Summaryinfo

A vulnerability classified as problematic has been found in jQuery up to 3.4.x. This issue affects the function html. Performing a manipulation results in cross site scripting. This vulnerability is reported as CVE-2020-11022. The attack is possible to be carried out remotely. Moreover, an exploit is present. It is recommended to upgrade the affected component.

Detailsinfo

A vulnerability, which was classified as problematic, was found in jQuery up to 3.4.x (JavaScript Library). This affects the function html. 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. The summary by CVE is:

In jQuery starting with 1.12.0 and before 3.5.0, passing HTML from untrusted sources - even after sanitizing it - to one of jQuery's DOM manipulation methods (i.e. .html(), .append(), and others) may execute untrusted code. This problem is patched in jQuery 3.5.0.

The weakness was disclosed 04/29/2020 (GitHub Repository). It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2020-11022 since 03/30/2020. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. It demands that the victim is doing some kind of user interaction. Technical details and a public exploit are known. The attack technique deployed by this issue is T1059.007 according to MITRE ATT&CK.

The exploit is shared for download at packetstormsecurity.com. It is declared as proof-of-concept. The vulnerability scanner Nessus provides a plugin with the ID 209233 (Oracle WebCenter Portal (October 2024 CPU)), which helps to determine the existence of the flaw in a target environment.

Upgrading to version 3.5.0 eliminates this vulnerability.

The vulnerability is also documented in the databases at Exploit-DB (49766) and Tenable (209233). The entries VDB-158141, VDB-158142, VDB-158144 and VDB-158146 are pretty similar. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

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Version

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Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.9
VulDB Meta Temp Score: 5.7

VulDB Base Score: 4.7
VulDB Temp Score: 4.2
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 6.1
NVD Vector: 🔍

CNA Base Score: 6.9
CNA Vector (GitHub, Inc.): 🔍

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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Nessus ID: 209233
Nessus Name: Oracle WebCenter Portal (October 2024 CPU)

Exploit-DB: 🔍

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔍

Upgrade: jQuery 3.5.0
Patch: github.com

Timelineinfo

03/30/2020 🔍
04/29/2020 +30 days 🔍
04/30/2020 +1 days 🔍
04/13/2026 +2174 days 🔍

Sourcesinfo

Product: github.com

Advisory: 162159
Status: Confirmed
Confirmation: 🔍

CVE: CVE-2020-11022 (🔍)
GCVE (CVE): GCVE-0-2020-11022
GCVE (VulDB): GCVE-100-154587
scip Labs: https://www.scip.ch/en/?labs.20161013
See also: 🔍

Entryinfo

Created: 04/30/2020 09:23
Updated: 04/13/2026 18:50
Changes: 04/30/2020 09:23 (40), 04/30/2020 09:28 (12), 10/14/2020 13:06 (1), 10/14/2020 13:17 (1), 06/04/2024 12:51 (18), 06/04/2024 12:59 (19), 06/16/2024 23:28 (10), 10/17/2024 21:06 (2), 12/01/2024 21:04 (3), 05/06/2025 08:00 (3), 04/13/2026 18:50 (7)
Complete: 🔍
Cache ID: 216::103

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

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