CVE-2026-69079 in cti-transmute
Summary
by MITRE • 08/03/2026
CTI-Transmute contains an uncontrolled resource-consumption vulnerability in the unauthenticated /activity_timeline endpoint. The endpoint accepts a user-controlled days query parameter that was not restricted to a reasonable range.
A remote, unauthenticated attacker could submit an excessively large value for this parameter, causing the application to retrieve and process activity data over an arbitrarily large period. This could consume excessive database, CPU, or memory resources, delay the processing of concurrent requests, or trigger an internal server error. Repeated requests could further degrade the availability of the CTI-Transmute website.
The vulnerability is corrected by clamping the requested timeline range to a minimum of one day and a maximum of 1,095 days.
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Analysis
by VulDB Data Team • 08/03/2026
The CTI-Transmute application presents a critical resource consumption vulnerability within its unauthenticated /activity_timeline endpoint that stems from inadequate input validation and parameter restriction mechanisms. This flaw resides in the application's handling of the days query parameter, which accepts user-supplied values without proper bounds checking or sanitization. The vulnerability creates an avenue for remote attackers to exploit the system's processing capabilities through crafted requests that can cause disproportionate resource utilization.
This vulnerability represents a classic example of insufficient input validation and lacks proper parameter range enforcement, which aligns with CWE-704 classification for inadequate input sanitization. The absence of reasonable bounds checking on the days parameter allows attackers to specify arbitrarily large values that force the application to process extensive datasets. The flaw operates at the application layer where user inputs are directly translated into database operations without adequate resource management controls. Attackers can leverage this weakness to perform denial-of-service attacks by consuming excessive system resources through single or repeated requests.
The operational impact of this vulnerability extends beyond simple performance degradation to potentially causing complete service unavailability. When an attacker submits an excessively large days parameter value, the application attempts to retrieve and process activity data spanning the entire requested period, which can overwhelm database connections, consume massive amounts of memory, and saturate CPU resources. This resource exhaustion scenario directly affects concurrent request processing capabilities, leading to delayed responses or complete service disruption for legitimate users. The vulnerability's impact is particularly severe because it operates without authentication requirements, making it accessible to any remote attacker.
The remediation implemented addresses the core issue by establishing clear parameter boundaries that clamp the requested timeline range between one day and 1,095 days maximum. This approach follows industry best practices for preventing resource exhaustion attacks by implementing reasonable limits on user-controlled inputs. The solution effectively mitigates the vulnerability by ensuring that no single request can cause disproportionate system resource consumption while maintaining functionality for legitimate use cases. This fix aligns with ATT&CK technique T1499.004 for network denial of service and represents a fundamental security control for preventing uncontrolled resource consumption attacks.
The vulnerability demonstrates how seemingly simple input parameters can create significant security risks when proper validation controls are absent from application logic. The lack of input sanitization creates an attack surface that allows malicious actors to manipulate system resources through legitimate application functions. This flaw underscores the importance of implementing defense-in-depth strategies including parameter validation, resource limiting, and monitoring for anomalous usage patterns. Organizations should implement similar controls across all endpoints that accept user-supplied parameters to prevent similar vulnerabilities from manifesting in their systems.
Security teams must recognize this vulnerability pattern as a common weakness in web applications and ensure comprehensive input validation is implemented throughout application architectures. The fix serves as a model implementation for parameter boundary checking that can be applied to similar scenarios where time-based or numeric parameters are accepted from untrusted sources. Regular security assessments should include verification of input validation controls and resource management mechanisms to prevent the recurrence of such vulnerabilities in software development lifecycles.
The technical implications of this vulnerability extend to system reliability and availability considerations, as resource exhaustion attacks can have cascading effects on application performance. The solution implemented provides a reasonable balance between functionality and security, ensuring that legitimate users can access timeline data while preventing abuse through excessive parameter values. This approach represents a standard mitigation strategy for uncontrolled resource consumption vulnerabilities and aligns with security frameworks that emphasize the importance of input validation and resource limiting controls in web application security architectures.
Organizations deploying similar applications should conduct thorough vulnerability assessments to identify and remediate comparable issues across their software portfolios. The vulnerability serves as an example of how authentication requirements do not necessarily protect against resource exhaustion attacks, as attackers can leverage unauthenticated endpoints to cause significant system impact. Implementation of proper parameter validation and resource management controls is essential for maintaining application availability and preventing abuse of legitimate functionality through malicious input manipulation.