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high·Product Based Web Vulnerabilities·Updated May 12, 2026

CVE-2026-38361 Scanner

CVE-2026-38361 Scanner - Denial of Service (DoS) vulnerability in dash-uploader

Est. Time~10 seconds
Scan TypeSingle Scan
Targetsurl
CostFree
0
Times Used
by S4E users
0
Assets Scanned
domains & IPs
0
Vulnerabilities Found
confirmed findings
References
CVECVE-2026-38361
7.5
CVSShigh
Exploitable remotely over the internet · no authentication required.

Multiple unauthenticated denial-of-service (DoS) issues in fohrloop dash-uploader v0.1.0 through v0.7.0a2. The chunked-upload handler (dash_uploader/httprequesthandler.py, dash_uploader/upload.py) trusts unsanitized, attacker-controlled upload parameters (e.g. flowTotalChunks) and does not enforce the documented max_file_size limit, allowing a remote, unauthenticated attacker to cause an out-of-memory (OOM) process crash (unbounded range(1, flowTotalChunks + 1) allocation), truncation of the target file to zero bytes (flowTotalChunks=0, where the all([]) == True quirk runs the file-assembly branch on zero chunks), permanent disk exhaustion (never-cleaned-up temporary directories per flowIdentifier), and a complete bypass of the documented max_file_size limit.

Attack Vector
Network
Privileges Req.
None
User Interaction
None
Affected
n/aby n/a
n/a
Updated Aug 19, 2026View on NVD →
Detail

Dash-uploader is utilized in various web applications for smoother file uploading experiences, especially by developers working on data-driven applications. It is integrated into dashboards to handle file uploads and potentially large data sets. The uploader is popular in the Python community, particularly for its ease of use and compatibility with popular data visualization frameworks. Organizations utilizing Dash for their applications may incorporate this middleware to manage data flow more effectively. It's critical in environments where data integrity and flow efficiency are paramount. As a widely-used module, its consistent operation is crucial for many developers and end-user experiences.

The vulnerability in dash-uploader, identified as CVE-2026-38361, allows a denial of service through improper management of the flowTotalChunks parameter. The vulnerability arises due to the inefficient handling in upload functions which can be exploited by sending crafted requests. This flaw can stall operations and cause significant disruptions in services that rely on dash-uploader for file management. It exposes the application to potential security risks that can affect its performance and reliability. By overwhelming the uploader's function, attackers can disrupt its intended operations, leading to service unavailability.

Technically, the attack vector uses crafted requests that target the flowTotalChunks parameter in dash_uploader components. The vulnerability is evident in versions 0.1.0 through 0.7.0a2. The endpoint is vulnerable when it processes requests that exceed or mismanage set parameters, thus causing operational interruptions. Attackers can exploit this endpoint by crafting requests that burden the function till it fails to function appropriately. This flaw is due to inadequate restriction and validation mechanisms in the uploader module. Such technical oversights render applications using the module vulnerable to disruptions.

Potential consequences of exploiting this denial-of-service vulnerability include significant data flow interruptions in applications using dash-uploader. Exploits can lead to severe service disruptions, which, depending on the application's purpose, may result in data integrity issues, delayed processing times, and overall system unavailability. For businesses relying on real-time data processing, this can translate to financial losses and service trust issues. Additionally, insufficient resilience within the uploader can open paths to further sophisticated exploitation methods. These effects can severely compromise user confidence and the stability of systems using the uploader.

REFERENCES

Solution Advice
  • Upgrade the dash-uploader to a version beyond v0.7.0a2 to mitigate the vulnerability.
  • Implement proper request validation to ensure incoming data does not overwhelm processing capabilities.
  • Enhance monitoring systems to detect unusual activity on upload functions to prevent exploitation.
  • Consider introducing rate limiting on requests to reduce the possibility of service disruptions.

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