Aggregates CVE and security vulnerability intelligence across all cvat-related products, including CVSS, EPSS, publication dates, and vulnerability intelligence data.
Disclosed issues often relate to vendor risk cross-site scripting, vendor risk ssrf, and vendor risk csrf; exposure may include vendor impact session compromise in vendor surface production workloads contexts.
| CVE | Summary | Source | Max CVSS | EPSS % | Published | Updated |
|---|---|---|---|---|---|---|
| CVE-2026-23526 | CVAT is an open source interactive video and image annotation tool for computer vision. In versions 1.0.0 through 2.54.0, users that have the staff status may freely change their permissions, including giving themselves superuser status and joining the admin group, which gives them full access to the data in the CVAT instance. Version 2.55.0 fixes the issue. As a workaround, review the list of users with staff status and revoke it from any users that are not expected to have superuser privileges | [email protected] | 8.5 | 0.06% | 2026-01-21 | 2026-02-20 |
| CVE-2026-23516 | CVAT is an open source interactive video and image annotation tool for computer vision. In versions 2.2.0 through 2.54.0, an attacker is able to execute arbitrary JavaScript in a victim user's CVAT UI session, provided that they are able to create a maliciously crafted label in a CVAT task or project, then get the victim user to either edit that label, or view a shape that refers to that label; and/or get the victim user to upload a maliciously crafted SVG image when configuring a skeleton. This | [email protected] | 8.6 | 0.05% | 2026-01-21 | 2026-02-20 |
| CVE-2025-68430 | CVAT is an open source interactive video and image annotation tool for computer vision. In versions 2.8.1 through 2.52.0, an attacker with an account on a CVAT instance is able to retrieve the contents of any file system directory accessible to the CVAT server. The exposed information is names of contained files and subdirectories. The contents of files are not accessible. Version 2.53.0 contains a patch. No known workarounds are available. | [email protected] | 5.3 | 0.06% | 2025-12-19 | 2026-01-13 |
| CVE-2025-54573 | CVAT is an open source interactive video and image annotation tool for computer vision. In versions 1.1.0 through 2.41.0, email verification was not enforced when using Basic HTTP Authentication. As a result, users could create accounts using fake email addresses and use the product as verified users. Additionally, the missing email verification check leaves the system open to bot signups and further usage. CVAT 2.42.0 and later versions contain a fix for the issue. CVAT Enterprise customers hav | [email protected] | 4.3 | 0.15% | 2025-07-30 | 2025-09-11 |
| CVE-2025-49135 | CVAT is an open source interactive video and image annotation tool for computer vision. Versions 2.2.0 through 2.39.0 have no validation during the import process of a project or task backup to check that the filename specified in the query parameter refers to a TUS-uploaded file belonging to the same user. As a result, if an attacker with a CVAT account and a `user` role knows the filenames of other users' uploads, they could potentially access and steal data by creating projects or tasks using | [email protected] | 5.3 | 0.20% | 2025-06-25 | 2025-09-15 |
| CVE-2025-48381 | Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. In versions starting from 2.4.0 to before 2.38.0, an authenticated CVAT user may be able to retrieve the IDs and names of all tasks, projects, labels, and the IDs of all jobs and quality reports on the CVAT instance. In addition, if the instance contains many resources of a particular type, retrieving this information may tie up system resources, denying access to legitimate users. This | [email protected] | 5.3 | 0.22% | 2025-05-30 | 2025-10-15 |
| CVE-2025-23045 | Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. An attacker with an account on an affected CVAT instance is able to run arbitrary code in the context of the Nuclio function container. This vulnerability affects CVAT deployments that run any of the serverless functions of type tracker from the CVAT Git repository, namely TransT and SiamMask. Deployments with custom functions of type tracker may also be affected, depending on how they h | [email protected] | 8.7 | 0.90% | 2025-01-28 | 2025-09-16 |
| CVE-2024-47172 | Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. An attacker with a CVAT account may retrieve certain information about any project, task, job or membership resource on the CVAT instance. The information exposed in this way is the same as the information returned on a GET request to the resource. In addition, the attacker can also alter the default source and target storage associated with any project or task. Upgrade to CVAT 2.19.1 or | [email protected] | 5.4 | 0.33% | 2024-09-30 | 2024-10-30 |
| CVE-2024-47064 | Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. If an attacker can trick a logged-in CVAT user into visiting a maliciously-constructed URL, they can initiate any API calls on that user's behalf. This gives the attacker temporary access to all data that the victim user has access to. Upgrade to CVAT 2.19.0 or a later version to fix this issue. | [email protected] | 6.3 | 0.94% | 2024-09-30 | 2024-10-30 |
| CVE-2024-47063 | Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. If a malicious CVAT user with permissions to either create a task, or edit an existing task can trick another logged-in user into visiting a maliciously-constructed URL, they can initiate any API calls on that user's behalf. This gives the attacker temporary access to all data that the victim user has access to. Upgrade to CVAT 2.19.0 or a later version to fix this issue. | [email protected] | 6.2 | 0.74% | 2024-09-30 | 2024-10-30 |
| CVE-2024-45393 | Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. An attacker with a CVAT account can access webhook delivery information for any webhook registered on the CVAT instance, including that of other users. For each delivery, this contains information about the event that caused the delivery, typically including full details about the object on which an action was performed (such as the task for an "update:task" event), and the user who perf | [email protected] | 6.4 | 0.32% | 2024-09-10 | 2025-01-21 |
| CVE-2024-37306 | Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. Starting in version 2.2.0 and prior to version 2.14.3, if an attacker can trick a logged-in CVAT user into visiting a malicious URL, they can initiate a dataset export or a backup from a project, task or job that the victim user has permission to export into a cloud storage that the victim user has access to. The name of the resulting file can be chosen by the attacker. This implies that | [email protected] | 7.1 | 0.27% | 2024-06-13 | 2025-01-21 |
| CVE-2024-37164 | Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. CVAT allows users to supply custom endpoint URLs for cloud storages based on Amazon S3 and Azure Blob Storage. Starting in version 2.1.0 and prior to version 2.14.3, an attacker with a CVAT account can exploit this feature by specifying URLs whose host part is an intranet IP address or an internal domain name. By doing this, the attacker may be able to probe the network that the CVAT bac | [email protected] | 7.1 | 0.28% | 2024-06-13 | 2025-01-21 |
| CVE-2022-31188 | CVAT is an opensource interactive video and image annotation tool for computer vision. Versions prior to 2.0.0 were found to be subject to a Server-side request forgery (SSRF) vulnerability. Validation has been added to urls used in the affected code path in version 2.0.0. Users are advised to upgrade. There are no known workarounds for this issue. | [email protected] | 8.6 | 35.73% | 2022-08-01 | 2026-02-20 |
| CVE-2021-45046 KEV | It was found that the fix to address CVE-2021-44228 in Apache Log4j 2.15.0 was incomplete in certain non-default configurations. This could allows attackers with control over Thread Context Map (MDC) input data when the logging configuration uses a non-default Pattern Layout with either a Context Lookup (for example, $${ctx:loginId}) or a Thread Context Map pattern (%X, %mdc, or %MDC) to craft malicious input data using a JNDI Lookup pattern resulting in an information leak and remote code execu | [email protected] | 9.0 | 94.34% | 2021-12-14 | 2025-10-27 |