CVE-2026-73219 in Cvatinfo

Summary

by MITRE • 08/11/2026

CVAT is an open source interactive video and image annotation tool for computer vision. From 2.17.0 until 2.72.0, a user with write access to a CVAT job can submit a batch automatic annotation request to RequestViewSet.create with inconsistent task and job IDs, and because the task ID determines the single active request slot, block automatic annotation for another task whose ID is known. This issue is fixed in version 2.72.0.

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Analysis

by VulDB Data Team • 08/11/2026

The vulnerability exists within CVAT's automatic annotation functionality where a malicious user with write permissions to a specific job can exploit a design flaw in the RequestViewSet.create endpoint. This flaw allows the attacker to manipulate the relationship between task and job identifiers during batch annotation requests, creating a scenario where the system's internal request slot management becomes compromised. The core technical issue stems from how the system validates and processes the correlation between task and job IDs, particularly when these identifiers are inconsistent or deliberately mismatched by an authenticated user.

The operational impact of this vulnerability is significant as it enables a form of resource denial that specifically targets the automatic annotation system's concurrency control mechanisms. When a user submits a request with inconsistent task and job IDs, the system uses the task ID to determine which single active request slot should be utilized for processing. This creates a scenario where legitimate annotation requests for other tasks can be blocked or delayed simply because they share the same task identifier, effectively creating a denial-of-service condition against the annotation infrastructure. The vulnerability specifically affects versions between 2.17.0 and 2.72.0, indicating that it was present in multiple releases and likely exploited by malicious actors who understood the system's internal state management patterns.

From a cybersecurity perspective, this vulnerability represents a privilege escalation and resource exhaustion attack vector where authenticated users can manipulate system resources without proper authorization. The flaw falls under the category of improper input validation and insufficient access control mechanisms as defined by CWE-284 for improper access control and CWE-129 for insufficient validation of length. The issue demonstrates how internal consistency checks can be bypassed when authentication is present but authorization boundaries are not properly enforced. This type of vulnerability aligns with ATT&CK technique T1499.004 which covers network denial of service attacks, specifically targeting service availability through resource manipulation.

The fix implemented in version 2.72.0 addresses this by strengthening the validation logic within RequestViewSet.create to ensure that task and job identifiers maintain proper correlation before allowing automatic annotation requests to proceed. This solution prevents the scenario where inconsistent identifiers could be used to manipulate the single active request slot, thereby restoring proper concurrency control and preventing the blocking behavior described in the vulnerability. The mitigation approach likely involves implementing stricter parameter validation and correlation checks between task and job identifiers during the request processing phase, ensuring that only legitimate requests can occupy system resources for automatic annotation operations.

Responsible

GitHub M

Reservation

08/11/2026

Disclosure

08/11/2026

Moderation

accepted

CPE

ready

EPSS

0.00000

KEV

no

Activities

very low

Sources

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