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CVE-2024-9437: CWE-770 Allocation of Resources Without Limits or Throttling in transformeroptimus transformeroptimus/superagi

0
High
VulnerabilityCVE-2024-9437cvecve-2024-9437cwe-770
Published: Thu Mar 20 2025 (03/20/2025, 10:10:40 UTC)
Source: CVE Database V5
Vendor/Project: transformeroptimus
Product: transformeroptimus/superagi

Description

SuperAGI version v0.0.14 is vulnerable to an unauthenticated Denial of Service (DoS) attack. The vulnerability exists in the resource upload request, where appending characters, such as dashes (-), to the end of a multipart boundary in an HTTP request causes the server to continuously process each character. This leads to excessive resource consumption and renders the service unavailable. The issue is unauthenticated and does not require any user interaction, impacting all users of the service.

AI-Powered Analysis

AILast updated: 10/15/2025, 13:04:33 UTC

Technical Analysis

CVE-2024-9437 is a vulnerability classified under CWE-770 (Allocation of Resources Without Limits or Throttling) found in transformeroptimus's SuperAGI product. The flaw exists in the handling of multipart HTTP requests during resource uploads. Specifically, when an attacker appends additional characters such as dashes (-) to the end of the multipart boundary string, the server's parsing logic enters a continuous processing loop for each appended character. This behavior causes the server to consume excessive CPU and memory resources, ultimately leading to Denial of Service (DoS) by exhausting available resources and rendering the service unavailable. The vulnerability is exploitable remotely without any authentication or user interaction, increasing its risk profile. The affected versions are unspecified, but the vulnerability was published on March 20, 2025, with a CVSS v3.0 score of 7.5 (high severity), reflecting its ease of exploitation (network vector, low attack complexity) and significant impact on availability. No patches or mitigations are currently linked, and no active exploits have been reported. This vulnerability highlights a critical weakness in input validation and resource management within the multipart request handling component of SuperAGI.

Potential Impact

For European organizations using transformeroptimus/superagi, this vulnerability poses a significant risk of service disruption due to unauthenticated Denial of Service attacks. The impact primarily affects availability, potentially causing downtime for critical AI-driven automation or integration services relying on SuperAGI. This can lead to operational interruptions, loss of productivity, and reputational damage, especially in sectors where continuous service is essential such as finance, healthcare, and public services. Since the attack requires no authentication or user interaction, it can be launched by any remote attacker, increasing the threat surface. Additionally, resource exhaustion on affected servers could cascade, impacting other hosted services or infrastructure components. The lack of current patches means organizations must rely on mitigation strategies to reduce exposure until a fix is available.

Mitigation Recommendations

European organizations should implement strict network-level controls such as rate limiting and filtering of malformed HTTP multipart requests to prevent exploitation. Deploying Web Application Firewalls (WAFs) with custom rules to detect and block suspicious multipart boundary anomalies (e.g., excessive trailing dashes) can reduce attack surface. Monitoring resource usage patterns on SuperAGI servers and setting thresholds for CPU and memory consumption can enable early detection of DoS attempts. Isolating SuperAGI instances in segmented network zones limits potential lateral impact. Organizations should also maintain up-to-date backups and incident response plans for rapid recovery. Engaging with the vendor to obtain patches or updates as soon as they are released is critical. Until patches are available, disabling or restricting the resource upload functionality, if feasible, can mitigate risk. Finally, logging and alerting on unusual multipart request patterns will aid in timely identification of exploitation attempts.

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Technical Details

Data Version
5.1
Assigner Short Name
@huntr_ai
Date Reserved
2024-10-02T16:08:47.444Z
Cvss Version
3.0
State
PUBLISHED

Threat ID: 68ef9b2f178f764e1f470ee8

Added to database: 10/15/2025, 1:01:35 PM

Last enriched: 10/15/2025, 1:04:33 PM

Last updated: 12/2/2025, 8:48:46 PM

Views: 25

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