What is the CVSS score of CVE-2024-40442?

CVE-2024-40442 has a CVSS 3.1 base score of 7.2 (High). CVSS vector: CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H. EPSS exploitation probability: 1.0%.

Doccano Open CVE-2024-40442

HIGH

Code Injection (CWE-94)

2024-09-23 cve@mitre.org

Code Injection RCE

7.2

CVSS 3.1 · Vendor: mitre

Severity by source

Vendor (mitre) PRIMARY

7.2 HIGH

AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H

Primary rating from Vendor (mitre) · only source for this CVE.

CVSS VectorVendor: mitre

CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H

Attack Vector

Network

Attack Complexity

Low

Privileges Required

High

User Interaction

None

Scope

Unchanged

Confidentiality

High

Integrity

High

Availability

High

Lifecycle Timeline

CVE Published

Sep 23, 2024 - 17:15 cve.org

HIGH 7.2

DescriptionCVE.org

An issue in Doccano Open source annotation tools for machine learning practitioners v.1.8.4 and Doccano Auto Labeling Pipeline module to annotate a document automatically v.0.1.23 allows a remote attacker to escalate privileges via a crafted REST Request.

AnalysisAI

An issue in Doccano Open source annotation tools for machine learning practitioners v.1.8.4 and Doccano Auto Labeling Pipeline module to annotate a document automatically v.0.1.23 allows a remote. Rated high severity (CVSS 7.2), this vulnerability is remotely exploitable, low attack complexity. No vendor patch available.

Technical ContextAI

This vulnerability is classified as Code Injection (CWE-94), which allows attackers to inject and execute arbitrary code within the application. An issue in Doccano Open source annotation tools for machine learning practitioners v.1.8.4 and Doccano Auto Labeling Pipeline module to annotate a document automatically v.0.1.23 allows a remote attacker to escalate privileges via a crafted REST Request.

Affected ProductsAI

Doccano Open source annotation tools for machine learning practitioners v.1.8.4 and Doccano Auto Labeling Pipeline module to annotate a document automatically v.0.1.23.

RemediationAI

No vendor patch is available at time of analysis. Monitor vendor advisories for updates. Never evaluate user-controlled input as code. Use sandboxing, disable dangerous functions, apply strict input validation.