CVE Intelligence

Dfir-iris vulnerabilities

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Published CVEs affecting Dfir-iris products: 8 record(s), with severity, exploitation and fixes.

Exploited only (KEV) →

CVE-2026-42547 Medium · 5.4 CWE-863 Jun 4, 2026
IRIS Alerts Can be Falsely Attributed to Customers
IRIS is a web collaborative platform that helps incident responders share technical details during investigations. In versions prior to 2.4.28, users can create alerts for customers that are not assigned to them. This can be abused to falsely attribute fake alerts to customers. In combination with Cross-Site Scripting, this can also be used to exfiltrate alerts from other customers. Version 2.4.28 contains a patch.
CVE-2026-42543 Medium · 4.3 CWE-650 Jun 4, 2026
IRIS has a Cross-Site Request Forgery (CSRF) issue
IRIS is a web collaborative platform that helps incident responders share technical details during investigations. Versions prior to 2.4.28 are vulnerable to a cross-site request forgery attack, because they use the HTTP method `GET` to change state on the server. Version 2.4.28 contains a patch.
CVE-2026-42540 Medium · 4.3 CWE-915 Jun 4, 2026
IRIS has a Mass Assignment issue
IRIS is a web collaborative platform that helps incident responders share technical details during investigations. Versions prior to 2.4.28 allow a user to alter values in the database via manipulated API requests. Version 2.4.28 contains a patch.
CVE-2026-42539 Medium · 6.5 CWE-201 Jun 4, 2026
IRIS has an Excessive Data Exposure issue
IRIS is a web collaborative platform that helps incident responders share technical details during investigations. Versions prior to 2.4.28 return sensitive data to the user which are not required for the client’s operation. Version 2.4.28 contains a patch.
CVE-2026-42538 Medium · 6.3 CWE-434 Jun 4, 2026
IRIS has an Insecure File Upload
IRIS is a web collaborative platform that helps incident responders share technical details during investigations. Versions prior to 2.4.28 do not properly validate uploaded files. The application can therefore be misused to host phishing pages, amongst other things. This also creates another instance of a Cross-Site Scripting (XSS) vulnerability. Version 2.4.28 contains a patch.
CVE-2026-42329 Medium · 4.7 CWE-602 Jun 4, 2026
Iris has an Open Redirect issue
Iris is a web collaborative platform that helps incident responders share technical details during investigations. Versions prior to 2.4.28 contain a weakness where an attacker can misuse it to redirect the user to a malicious website controlled by an attacker. Version 2.4.28 fixes the issue.
CVE-2026-41522 High · 7.1 CWE-285 Jun 4, 2026
Iris has an Improper Authorization issue
Iris is a web collaborative platform that helps incident responders share technical details during investigations. Prior to version 2.4.28, DFIR-IRIS exposes an optional GraphQL endpoint at `/graphql` that does not enforce the same authorization checks as the REST API. Any authenticated user can abuse it in three ways: unauthorized IOC read across cases (IDOR), bulk IOC disclosure via `case.iocs`. The `case(caseId: …).iocs` resolver returns IOCs linked to an arbitrary case without verifying the caller has access to that case, and unauthorized case creation. All three are reachable by any authenticated user, regardless of role or case ACL. This is fixed in v2.4.28. The GraphQL blueprint, resolvers, and dependencies (`graphene`, `graphene-sqlalchemy`, `graphql-server[flask]`) were removed entirely, since the feature was not in use. As a workaround, block `/graphql` at the reverse proxy (recommended) or comment out the `graphql_blueprint` import and `register_blueprint` call in `source/app/views.py` and restart.
CVE-2026-22783 High · 8.1 CWE-434 Jan 12, 2026
Iris Allows Arbitrary File Deletion via Mass Assignment in Datastore File Management
Iris is a web collaborative platform that helps incident responders share technical details during investigations. Prior to 2.4.24, the DFIR-IRIS datastore file management system has a vulnerability where mass assignment of the file_local_name field combined with path trust in the delete operation enables authenticated users to delete arbitrary filesystem paths. The vulnerability manifests through a three-step attack chain: authenticated users upload a file to the datastore, update the file's file_local_name field to point to an arbitrary filesystem path through mass assignment, then trigger the delete operation which removes the target file without path validation. This vulnerability is fixed in 2.4.24.