markdown-it-py up to 2.1.x denial of service

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
4.3$0-$5k0.00

Summaryinfo

A vulnerability was found in markdown-it-py up to 2.1.x. It has been classified as problematic. The affected element is an unknown function. Performing a manipulation results in denial of service. This vulnerability is reported as CVE-2023-26303. The attack is possible to be carried out remotely. No exploit exists. Upgrading the affected component is recommended.

Detailsinfo

A vulnerability was found in markdown-it-py up to 2.1.x. It has been classified as problematic. This affects an unknown code block. The manipulation with an unknown input leads to a denial of service vulnerability. CWE is classifying the issue as CWE-404. The product does not release or incorrectly releases a resource before it is made available for re-use. This is going to have an impact on availability. The summary by CVE is:

Denial of service could be caused to markdown-it-py, before v2.2.0, if an attacker was allowed to force null assertions with specially crafted input.

The weakness was disclosed 02/23/2023 as ae03c6107dfa18e648f6fdd1280f5b89092d5d49. It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2023-26303 since 02/21/2023. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1499 according to MITRE ATT&CK.

Upgrading to version 2.2.0 eliminates this vulnerability. Applying the patch ae03c6107dfa18e648f6fdd1280f5b89092d5d49 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: 4.3

VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 5.5
NVD Vector: 🔍

CNA Base Score: 3.3
CNA Vector (Canonical Ltd.): 🔍

CVSSv2info

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

Exploitinginfo

Class: Denial of service
CWE: CWE-404
CAPEC: 🔍
ATT&CK: 🔍

Physical: Partially
Local: Yes
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: markdown-it-py 2.2.0
Patch: ae03c6107dfa18e648f6fdd1280f5b89092d5d49

Timelineinfo

02/21/2023 🔍
02/23/2023 +2 days 🔍
02/23/2023 +0 days 🔍
03/24/2023 +29 days 🔍

Sourcesinfo

Advisory: ae03c6107dfa18e648f6fdd1280f5b89092d5d49
Status: Confirmed

CVE: CVE-2023-26303 (🔍)
GCVE (CVE): GCVE-0-2023-26303
GCVE (VulDB): GCVE-100-221667

Entryinfo

Created: 02/23/2023 08:00
Updated: 03/24/2023 11:01
Changes: 02/23/2023 08:00 (51), 03/24/2023 11:01 (11)
Complete: 🔍
Cache ID: 216::103

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

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