CVE-2026-45294 (GCVE-0-2026-45294)
Vulnerability from cvelistv5 – Published: 2026-05-29 19:52 – Updated: 2026-06-02 01:56
VLAI
EPSS
VEX
Title
FreeScout: User Account Enumeration via Password Reset Response Differentiation
Summary
FreeScout is a free help desk and shared inbox built with PHP's Laravel framework. Prior to 1.8.219, the password reset endpoint returns visually distinct responses depending on whether the submitted email address belongs to an existing user account, allowing unauthenticated attackers to enumerate valid helpdesk agent email addresses. This vulnerability is fixed in 1.8.219.
Severity
5.3 (Medium)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator (v2.0.3)
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://github.com/freescout-help-desk/freescout/… | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| freescout-help-desk | freescout |
Affected:
< 1.8.219
|
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
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