---
id: "CVE-2026-46346"
kind: "vulnerability"
aliases: ["CVE-2026-46346"]
title: "Goobi viewer: predictable password reset tokens allow account takeover"
severity: "medium"
cvss: 6.5
epss: 0.00464
exploited: false
status: "open"
category: "package"
products: []
ecosystems: []
tags: ["goobi-viewer", "java", "package", "self-hosted"]
not_affected_if: ["default-config"]
published_at: "2026-10-23T15:17:31+00:00"
first_seen_at: "2026-10-23T21:57:34+00:00"
updated_at: "2026-10-25T12:38:50+00:00"
sources: [{"source": "nvd", "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-46346", "first_seen_at": "2026-10-23T21:57:34+00:00"}, {"source": "epss", "url": "https://api.first.org/data/v1/epss?cve=CVE-2026-46346", "first_seen_at": "2026-10-25T12:38:50+00:00"}]
---

# Goobi viewer: predictable password reset tokens allow account takeover

Goobi viewer, a web app for displaying digitised material, generates password reset tokens predictably from the time of the request. An attacker who knows a user's email address can request a reset and brute-force the token to set a new password on that account.

_Summary, check and fix written by a model from the sources; labelled as such._

## How to check

- Check the installed Goobi viewer version and compare it with `26.05`
- unknown

## Fix

- Upgrade Goobi viewer to `26.05` or later

## Timeline

- 2026-10-23T21:57:34+00:00 nvd https://nvd.nist.gov/vuln/detail/CVE-2026-46346
- 2026-10-25T12:38:50+00:00 epss https://api.first.org/data/v1/epss?cve=CVE-2026-46346

## From the sources

The Goobi viewer is a web application that allows digitised material to be displayed in a web browser. Prior to version 26.05, the password reset token is predictably based on the time of the reset request. An attacker who knows the target's email address can request a reset and then brute-force the token. Exploiting this finding alone forces an unauthorized password reset on any account. This issue has been patched in version 26.05.

---

_Free to read at a human pace. An API with keys and an MCP server are in preparation; early access: hello@infrastack.ai_