Scratch up to 1.3.1 Regular Expression cross site scripting

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
Current Exploit Price (≈)
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CTI Interest Score
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4.3$0-$5k0.00

Summaryinfo

A vulnerability was found in Scratch up to 1.3.1. It has been rated as problematic. Impacted is an unknown function of the component Regular Expression Handler. Performing a manipulation results in cross site scripting. This vulnerability is identified as CVE-2020-26239. The attack can be initiated remotely. There is not any exploit available. Upgrading the affected component is advised.

Detailsinfo

A vulnerability was found in Scratch up to 1.3.1. It has been classified as problematic. This affects an unknown function of the component Regular Expression Handler. 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 weakness was released 11/24/2020. It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2020-26239. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1059.007 according to MITRE ATT&CK.

Upgrading to version 1.3.2 eliminates this vulnerability. The upgrade is hosted for download at github.com. Applying a patch is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.

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

Productinfo

Name

Version

License

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 4.4
VulDB Meta Temp Score: 4.4

VulDB Base Score: 3.5
VulDB Temp Score: 3.4
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 5.4
NVD Vector: 🔍

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: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔍

Upgrade: Scratch 1.3.2
Patch: github.com

Timelineinfo

10/01/2020 🔍
11/24/2020 +54 days 🔍
11/24/2020 +0 days 🔍
12/10/2020 +16 days 🔍

Sourcesinfo

Advisory: github.com
Status: Confirmed
Confirmation: 🔍

CVE: CVE-2020-26239 (🔍)
GCVE (CVE): GCVE-0-2020-26239
GCVE (VulDB): GCVE-100-165291

Entryinfo

Created: 11/24/2020 08:11
Updated: 12/10/2020 08:11
Changes: 11/24/2020 08:11 (39), 12/10/2020 08:04 (6), 12/10/2020 08:11 (19)
Complete: 🔍
Cache ID: 216::103

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

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