CVE-2025-47287

Description

A flaw was found in Tornado. This vulnerability can lead to a a denial of service by generating an extremely high volume of log entries.

Statement

This vulnerability marked as Important because it leverages the synchronous nature of the logging subsystem to induce a DoS condition. Specifically, malformed multipart/form-data payloads cause repeated, blocking log writes, which stall the event loop that underpins Tornado’s asynchronous architecture. Furthermore, because the vulnerable multipart parser is enabled by default, applications that are otherwise well-secured and do not even use file uploads can still be targeted unless they explicitly block these requests at a proxy.

Mitigation

No mitigation is currently available that meets Red Hat Product Security’s standards for usability, deployment, applicability, or stability.

Common Vulnerability Scoring System (CVSS) Score Details

Info alert:Important note

CVSS scores for open source components depend on vendor-specific factors (e.g. version or build chain). Therefore, Red Hat's score and impact rating can be different from NVD and other vendors. Red Hat remains the authoritative CVE Naming Authority (CNA) source for its products and services (see Red Hat classifications).

CVSS v3 Score Breakdown

Red HatNVDcve.org
Base Score7.5N/A7.5
Attack VectorNetworkN/ANetwork
Attack ComplexityLowN/ALow
Privileges RequiredNoneN/ANone
User InteractionNoneN/ANone
ScopeUnchangedN/AUnchanged
ConfidentialityNoneN/ANone
Integrity ImpactNoneN/ANone
Availability ImpactHighN/AHigh

Vector

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

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

Understanding the Weakness (CWE)

Availability

Technical Impact: DoS: Resource Consumption (CPU); DoS: Resource Consumption (Memory); DoS: Resource Consumption (Other)

When allocating resources without limits, an attacker could prevent other systems, applications, or processes from accessing the same type of resource. It can be easy for an attacker to consume many resources by rapidly making many requests or causing larger resources to be used than is needed.

Frequently Asked Questions

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