Jupyter nbconvert cross site scripting

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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5.0$0-$5k0.00

Summaryinfo

A vulnerability was found in Jupyter nbconvert. It has been classified as problematic. This issue affects some unknown processing. The manipulation leads to cross site scripting. This vulnerability is documented as CVE-2021-32862. The attack can be initiated remotely. There is not any exploit available.

Detailsinfo

A vulnerability was found in Jupyter nbconvert (unknown version) and classified as problematic. This issue affects an unknown code block. The manipulation with an unknown input leads to a cross site scripting vulnerability. Using CWE to declare the problem leads to 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. Impacted is integrity. The summary by CVE is:

The GitHub Security Lab discovered sixteen ways to exploit a cross-site scripting vulnerability in nbconvert. When using nbconvert to generate an HTML version of a user-controllable notebook, it is possible to inject arbitrary HTML which may lead to cross-site scripting (XSS) vulnerabilities if these HTML notebooks are served by a web server (eg: nbviewer).

The weakness was released 08/19/2022 as GHSA-9jmq-rx5f-8jwq. It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2021-32862 since 05/12/2021. 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.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

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

Productinfo

Vendor

Name

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.0
VulDB Meta Temp Score: 5.0

VulDB Base Score: 2.6
VulDB Temp Score: 2.6
VulDB Vector: 🔍
VulDB Reliability: 🔍

CNA Base Score: 7.5
CNA Vector (GitHub, Inc.): 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

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: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

05/12/2021 🔍
08/19/2022 +464 days 🔍
08/19/2022 +0 days 🔍
08/19/2022 +0 days 🔍

Sourcesinfo

Product: github.com

Advisory: GHSA-9jmq-rx5f-8jwq
Status: Confirmed
Confirmation: 🔍

CVE: CVE-2021-32862 (🔍)
GCVE (CVE): GCVE-0-2021-32862
GCVE (VulDB): GCVE-100-206771

Entryinfo

Created: 08/19/2022 10:56
Changes: 08/19/2022 10:56 (48)
Complete: 🔍
Cache ID: 216::103

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

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